Statistical Genetics Courses - User contributions [en]

Advgenemap2027

2026-10-12T09:49:48Z

Serveradmin: /* Additional Information */

__NOTITLE__

==Advanced Gene Mapping Course==
===The Rockefeller University===
Welch Building - The Great Hall 
1230 York Avenue (at East 66th Street) 
New York, NY 10065

'''Monday through Friday, January 11-15, 2027'''

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

Travel costs within the USA (i.e., plane, train, bus) as well as room and board (up to 295 USD per day) will be covered for non-industry participants whose home institution is more than 20 miles from The Rockefeller University.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics is a screening criterion for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====
Application Deadline: November 16, 2026

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Apllication_AGMC_2027_fillable.pdf Application form]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/adv_gene_mapping_schedule_Jan_2027.pdf Schedule]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Rockefeller_advanced_course_flyer_Jan_27.pdf Flyer]

Advgenemap2027

2026-10-12T09:48:55Z

Serveradmin: /* General Information */

__NOTITLE__

==Advanced Gene Mapping Course==
===The Rockefeller University===
Welch Building - The Great Hall 
1230 York Avenue (at East 66th Street) 
New York, NY 10065

'''Monday through Friday, January 11-15, 2027'''

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

Travel costs within the USA (i.e., plane, train, bus) as well as room and board (up to 295 USD per day) will be covered for non-industry participants whose home institution is more than 20 miles from The Rockefeller University.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus) as well as room and board (up to 295 USD per day) will be covered for non-industry participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics is a screening criterion for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====
Application Deadline: November 16, 2026

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Apllication_AGMC_2027_fillable.pdf Application form]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/adv_gene_mapping_schedule_Jan_2027.pdf Schedule]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Rockefeller_advanced_course_flyer_Jan_27.pdf Flyer]

Tutorials

2026-09-28T13:30:42Z

Serveradmin: /* FastLMM & GCTA */

==Tutorials for Courses==
* [[Tutorials#FastLMM_&_GCTA|FastLMM & GCTA]]
* [[Tutorials#Mendelian Randomization|Mendelian Randomization]]
* [[Tutorials#Pleiotropy|Pleiotropy]]
* [[Tutorials#PLINK_GWAS:_Data_Quality_Control_and Association_Analysis_Controlling_for_Population_Substructure|PLINK GWAS: QC and Controlling for Population Substructure]]
* [[Tutorials#Power_Analysis|Power Analysis]]
* [[Tutorials#REGENIE|REGENIE]]
* [[Tutorials#Regression_and_Intro_to_PLINK_and_R|Regression and Intro to PLINK and R]]
* [[Tutorials#Pencil_and_Paper_Exercise|Pencil and Paper Exercise]]

==Running Tutorials on Your Computer==
We adopt [https://www.docker.com/ docker] to run our course material, and we have created various [https://hub.docker.com/u/statisticalgenetics docker repositories] with freely available Docker images for users to readily run our exercises on their own computers using [https://docs.docker.com/desktop/ Docker Desktop]. These docker images are for multi-platform use (Mac, Windows, or Linux). More information regarding instructions to install Docker Desktop and to run the course material on your computer is detailed in the documentation below.

===General instructions===
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Statistical_Genetics_Exercise_Instructions.pdf Instructions to install Docker Desktop and running the course material on your computer]

===Tutorial specific instructions===
Please refer to the previous section for instructions on the installation of Docker Desktop and basic usages.

Material and instructions for specific exercise are listed in each section below. They provide links to pdf versions of the exercises and a minimal set of commands to use for downloading the docker images and running an exercise.

==FaST-LMM & GCTA (mlma, GREML, fastGWA)==
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/FastLMM_GCTA.pdf FastLMM & GCTA Exercise [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/FastLMM_GCTA_Outputs.pdf FastLMM & GCTA Output [PDF]]
* [https://hub.docker.com/r/statisticalgenetics/fastlmm-gcta FastLMM & GCTA Docker Image]

To pull and download the docker image from the Docker Hub repository,

<pre>docker pull statisticalgenetics/fastlmm-gcta</pre>
To run the exercise from the downloaded docker image,

<pre>docker run --rm -p 8888:8888 statisticalgenetics/fastlmm-gcta</pre>

==Mendelian Randomization==
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Mendelian_Randomization.pdf Mendelian Randomization Exercise [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Mendelian_Randomization_Outputs.pdf// Mendelian Randomization Output [PDF]]
* [https://hub.docker.com/r/statisticalgenetics/mendelian-randomization Mendelian Randomization Docker Image]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Mendelian_Randomization_Questions.pdf Mendelian Randomization Questions [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Mendelian_Randomization_Answers.pdf Mendelian Randomization Answers [PDF]]

To pull and download the docker image from the Docker Hub repository,

<pre>docker pull statisticalgenetics/mendelian-randomization</pre>
To run the exercise from the downloaded docker image,

<pre>docker run --rm -p 8888:8888 statisticalgenetics/mendelian-randomization</pre>

==Pleiotropy and Mediation Analysis==
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Pleiotropy.pdf Pleiotropy Exercise [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Pleiotropy_Outputs.pdf Pleiotropy Output [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/Pleiotropy_answers.pdf Pleiotropy Docker Image]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Pleiotropy_Questions.pdf Pleiotropy Questions [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Pleiotropy_Answers.pdf Pleiotropy Answers [PDF]]

To pull and download the docker image from the Docker Hub repository,

<pre>docker pull statisticalgenetics/pleiotropy</pre>
To run the exercise from the downloaded docker image,

<pre>docker run --rm -p 8888:8888 statisticalgenetics/pleiotropy</pre>

==PLINK GWAS: Data Quality Control and Association Analysis Controlling for Population Substructure==
These exercises run using a shared docker image, however the exercises are split into two separate notebooks.

* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/PLINK_Data_QC.pdf PLINK GWAS: Data QC Exercise [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/PLINK_Data_QC_Outputs.pdf PLINK GWAS: Data QC Output [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/PLINK_Data_QC_Questions.pdf PLINK GWAS: Data QC Questions [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/PLINK_Data_QC_Answers.pdf PLINK GWAS: Data QC Answers [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/PLINK_GWAS_Substructure.pdf PLINK GWAS: Population Substructure Exercise [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/PLINK_GWAS_Substructure_Outputs.pdf PLINK GWAS: Population Substructure Output [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/PLINK_GWAS_Substructure_Questions.pdf PLINK GWAS: Population Substructure Questions [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/PLINK_GWAS_Substructure_Answers.pdf PLINK GWAS: Population Substructure Answers [PDF]]
* [https://hub.docker.com/r/statisticalgenetics/plink-gwas PLINK GWAS Docker Image]

To pull and download the docker image from the Docker Hub repository,

<pre>docker pull statisticalgenetics/plink-gwas</pre>
To run the exercise from the downloaded docker image,

<pre>docker run --rm -p 8888:8888 statisticalgenetics/plink-gwas</pre>

==Power Analysis==
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Power_Calculations_Questions.pdf Power Analysis Questions [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Power_Calculations_Answers.pdf Power Analysis Answers [PDF]]

==REGENIE==
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Regenie.pdf Regenie Exercise [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Regenie_Outputs.pdf Regenie Output [PDF]]
* [https://hub.docker.com/r/statisticalgenetics/regenie Regenie Docker Image]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Regenie_Questions.pdf Regenie Questions [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Regenie_Answers.pdf Regenie Answers [PDF]]

To pull and download the docker image from the Docker Hub repository,

<pre>docker pull statisticalgenetics/regenie</pre>
To run the exercise from the downloaded docker image,

<pre>docker run --rm -p 8888:8888 statisticalgenetics/regenie</pre>

==Regression and Intro to PLINK and R==
These exercises run using a shared docker image, however the exercises are split into two separate notebooks.

* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Regression.pdf Regression Exercise [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Regression_Outputs.pdf Regression Output [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Regression_Questions.pdf Regression Questions [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Regression_Answers.pdf Regression Answers [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Intro_Plink_R.pdf Intro to PLINK & R Exercise [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Intro_Plink_R_Outputs.pdf Intro to PLINK & R Output [PDF]]
* [https://hub.docker.com/r/statisticalgenetics/regression-plink-r Regression and Intro to PLINK & R Docker Image]

To pull and download the docker image from the Docker Hub repository,

<pre>docker pull statisticalgenetics/regression-plink-r</pre>
To run the exercise from the downloaded docker image,

<pre>docker run --rm -p 8888:8888 statisticalgenetics/regression-plink-r</pre>

==Pencil and Paper Exercise==
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Population_Genetics_Questions.pdf Population Genetics Questions [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Population_Genetics_Answers.pdf Population Genetics Answers [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Linkage_Disequilibrium_Questions.pdf Linkage Disequilibrium Questions [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Linkage_Disequilibrium_Answers.pdf Linkage Disequilibrium Answers [PDF]]

Advgenemap2027

2026-09-22T18:33:25Z

Serveradmin: /* Advanced Gene Mapping Course */

__NOTITLE__

==Advanced Gene Mapping Course==
===The Rockefeller University===
Welch Building - The Great Hall 
1230 York Avenue (at East 66th Street) 
New York, NY 10065

'''Monday through Friday, January 11-15, 2027'''

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus) as well as room and board (up to 295 USD per day) will be covered for non-industry participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics is a screening criterion for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====
Application Deadline: November 16, 2026

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Apllication_AGMC_2027_fillable.pdf Application form]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/adv_gene_mapping_schedule_Jan_2027.pdf Schedule]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Rockefeller_advanced_course_flyer_Jan_27.pdf Flyer]

Advgenemap2027

2026-09-22T18:32:31Z

Serveradmin: /* Advanced Gene Mapping Course */

__NOTITLE__

==Advanced Gene Mapping Course==
===The Rockefeller University===
Welch Building - The Great Hall 
1230 York Avenue (at East 66th Street) 
New York, NY 10065

 
Monday through Friday, January 11-15, 2027

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus) as well as room and board (up to 295 USD per day) will be covered for non-industry participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics is a screening criterion for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====
Application Deadline: November 16, 2026

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Apllication_AGMC_2027_fillable.pdf Application form]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/adv_gene_mapping_schedule_Jan_2027.pdf Schedule]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Rockefeller_advanced_course_flyer_Jan_27.pdf Flyer]

Advgenemap2027

2026-09-22T18:31:59Z

Serveradmin: /* Advanced Gene Mapping Course */

__NOTITLE__

==Advanced Gene Mapping Course==
===The Rockefeller University===
Welch Building - The Great Hall 
1230 York Avenue (at East 66th Street) 
New York, NY 10065 
Monday through Friday, January 11-15, 2027

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus) as well as room and board (up to 295 USD per day) will be covered for non-industry participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics is a screening criterion for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====
Application Deadline: November 16, 2026

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Apllication_AGMC_2027_fillable.pdf Application form]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/adv_gene_mapping_schedule_Jan_2027.pdf Schedule]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Rockefeller_advanced_course_flyer_Jan_27.pdf Flyer]

Advgenemap2027

2026-09-22T18:31:17Z

Serveradmin: /* The Rockefeller University */

__NOTITLE__

==Advanced Gene Mapping Course==
===The Rockefeller University===
Welch Building - The Great Hall 
1230 York Avenue (at East 66th Street) 
New York, NY 10065

===Monday through Friday, January 11-15, 2027===

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus) as well as room and board (up to 295 USD per day) will be covered for non-industry participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics is a screening criterion for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====
Application Deadline: November 16, 2026

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Apllication_AGMC_2027_fillable.pdf Application form]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/adv_gene_mapping_schedule_Jan_2027.pdf Schedule]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Rockefeller_advanced_course_flyer_Jan_27.pdf Flyer]

Advgenemap2027

2026-09-22T18:28:13Z

Serveradmin: /* The Rockefeller University */

__NOTITLE__

==Advanced Gene Mapping Course==
===The Rockefeller University===
Welch Building - The Great Hall

1230 York Avenue (at East 66th Street)

New York, NY 10065

===Monday through Friday, January 11-15, 2027===

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus) as well as room and board (up to 295 USD per day) will be covered for non-industry participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics is a screening criterion for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====
Application Deadline: November 16, 2026

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Apllication_AGMC_2027_fillable.pdf Application form]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/adv_gene_mapping_schedule_Jan_2027.pdf Schedule]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Rockefeller_advanced_course_flyer_Jan_27.pdf Flyer]

Advgenemap2027

2026-09-22T18:27:45Z

Serveradmin: /* Advanced Gene Mapping Course */

__NOTITLE__

==Advanced Gene Mapping Course==
===The Rockefeller University===

Welch Building - The Great Hall
1230 York Avenue (at East 66th Street)
New York, NY 10065

===Monday through Friday, January 11-15, 2027===

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus) as well as room and board (up to 295 USD per day) will be covered for non-industry participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics is a screening criterion for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====
Application Deadline: November 16, 2026

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Apllication_AGMC_2027_fillable.pdf Application form]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/adv_gene_mapping_schedule_Jan_2027.pdf Schedule]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Rockefeller_advanced_course_flyer_Jan_27.pdf Flyer]

Advgenemap2026

2026-09-22T18:27:11Z

Serveradmin: Serveradmin moved page Advgenemap2026 to Advgenemap2027

#REDIRECT [[Advgenemap2027]]

Advgenemap2027

2026-09-22T18:27:08Z

Serveradmin: Serveradmin moved page Advgenemap2026 to Advgenemap2027

__NOTITLE__

==Advanced Gene Mapping Course==
===The Rockefeller University===
Welch Building - The Great Hall
1230 York Avenue (at East 66th Street)
New York, NY 10065

===Monday through Friday, January 11-15, 2027===

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus) as well as room and board (up to 295 USD per day) will be covered for non-industry participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics is a screening criterion for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====
Application Deadline: November 16, 2026

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Apllication_AGMC_2027_fillable.pdf Application form]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/adv_gene_mapping_schedule_Jan_2027.pdf Schedule]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Rockefeller_advanced_course_flyer_Jan_27.pdf Flyer]

Advgenemap2027

2026-09-22T18:26:28Z

Serveradmin: /* The Rockefeller University */

__NOTITLE__

==Advanced Gene Mapping Course==
===The Rockefeller University===
Welch Building - The Great Hall
1230 York Avenue (at East 66th Street)
New York, NY 10065

===Monday through Friday, January 11-15, 2027===

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus) as well as room and board (up to 295 USD per day) will be covered for non-industry participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics is a screening criterion for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====
Application Deadline: November 16, 2026

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Apllication_AGMC_2027_fillable.pdf Application form]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/adv_gene_mapping_schedule_Jan_2027.pdf Schedule]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Rockefeller_advanced_course_flyer_Jan_27.pdf Flyer]

Advgenemap2027

2026-09-22T17:31:49Z

Serveradmin: /* Monday through Friday, January 11-15, 2027 */

Advgenemap2027

2026-09-22T17:31:05Z

Serveradmin: /* Monday through Friday, January 11-15, 2027 */

__NOTITLE__

==Advanced Gene Mapping Course==
===The Rockefeller University===
Welch Building - The Great Hall

1230 York Avenue (at East 66th Street)

New York, NY 10065

==Monday through Friday, January 11-15, 2027==

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus) as well as room and board (up to 295 USD per day) will be covered for non-industry participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics is a screening criterion for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====
Application Deadline: November 16, 2026

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Apllication_AGMC_2027_fillable.pdf Application form]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/adv_gene_mapping_schedule_Jan_2027.pdf Schedule]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Rockefeller_advanced_course_flyer_Jan_27.pdf Flyer]

Advgenemap2027

2026-09-22T17:29:06Z

Serveradmin: /* For additional information, contact the course organizers: Andrew DeWan and Suzanne Leal */

Advgenemap2027

2026-09-22T14:57:14Z

Serveradmin: /* Additional Information */

__NOTITLE__

==Advanced Gene Mapping Course==
===The Rockefeller University===
Welch Building - The Great Hall

1230 York Avenue (at East 66th Street)

New York, NY 10065

===Monday through Friday, January 11-15, 2027===

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus) as well as room and board (up to 295 USD per day) will be covered for non-industry participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics is a screening criterion for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====
Application Deadline: November 16, 2026

Application form

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/adv_gene_mapping_schedule_Jan_2027.pdf Schedule]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Rockefeller_advanced_course_flyer_Jan_27.pdf Flyer]

Advgenemap2027

2026-09-22T14:43:21Z

Serveradmin: /* Advanced Gene Mapping Course */

__NOTITLE__

==Advanced Gene Mapping Course==
===The Rockefeller University===
Welch Building - The Great Hall

1230 York Avenue (at East 66th Street)

New York, NY 10065

===Monday through Friday, January 11-15, 2027===

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus), room, and board (up to 295 USD per day) will be covered for those participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics are screening criteria for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====
Application Deadline: November 16, 2026

Application form

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/adv_gene_mapping_schedule_Jan_2027.pdf Schedule]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Rockefeller_advanced_course_flyer_Jan_27.pdf Flyer]

Advgenemap2027

2026-09-22T14:42:34Z

Serveradmin: /* Welch Building - The Great Hall */

__NOTITLE__

==Advanced Gene Mapping Course==
The Rockefeller University

Welch Building - The Great Hall

====1230 York Avenue (at East 66th Street)====
====New York, NY 10065====
Monday through Friday, January 11-15, 2027

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus), room, and board (up to 295 USD per day) will be covered for those participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics are screening criteria for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====
Application Deadline: November 16, 2026

Application form

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/adv_gene_mapping_schedule_Jan_2027.pdf Schedule]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Rockefeller_advanced_course_flyer_Jan_27.pdf Flyer]

Advgenemap2027

2026-09-22T14:42:03Z

Serveradmin: /* == */

__NOTITLE__

==Advanced Gene Mapping Course==
The Rockefeller University

====Welch Building - The Great Hall====
====1230 York Avenue (at East 66th Street)====
====New York, NY 10065====
Monday through Friday, January 11-15, 2027

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus), room, and board (up to 295 USD per day) will be covered for those participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics are screening criteria for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====
Application Deadline: November 16, 2026

Application form

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/adv_gene_mapping_schedule_Jan_2027.pdf Schedule]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Rockefeller_advanced_course_flyer_Jan_27.pdf Flyer]

Advgenemap2027

2026-09-22T14:41:32Z

Serveradmin: /* The Rockefeller University */

__NOTITLE__

==Advanced Gene Mapping Course==
The Rockefeller University

====
Welch Building - The Great Hall
1230 York Avenue (at East 66th Street)
New York, NY 10065====
Monday through Friday, January 11-15, 2027

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus), room, and board (up to 295 USD per day) will be covered for those participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics are screening criteria for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====
Application Deadline: November 16, 2026

Application form

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/adv_gene_mapping_schedule_Jan_2027.pdf Schedule]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Rockefeller_advanced_course_flyer_Jan_27.pdf Flyer]

Advgenemap2027

2026-09-22T14:41:03Z

Serveradmin: /* Advanced Gene Mapping Course */

__NOTITLE__

==Advanced Gene Mapping Course==
==<code>The Rockefeller University</code> ==
====
Welch Building - The Great Hall
1230 York Avenue (at East 66th Street)
New York, NY 10065====
Monday through Friday, January 11-15, 2027

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus), room, and board (up to 295 USD per day) will be covered for those participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics are screening criteria for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====
Application Deadline: November 16, 2026

Application form

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/adv_gene_mapping_schedule_Jan_2027.pdf Schedule]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Rockefeller_advanced_course_flyer_Jan_27.pdf Flyer]

Advgenemap2027

2026-09-22T14:39:53Z

Serveradmin: /* Advanced Gene Mapping Course */

__NOTITLE__

==Advanced Gene Mapping Course==
=The Rockefeller University=
Welch Building - The Great Hall
1230 York Avenue (at East 66th Street)
New York, NY 10065´

Monday through Friday, January 11-15, 2027

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus), room, and board (up to 295 USD per day) will be covered for those participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics are screening criteria for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====
Application Deadline: November 16, 2026

Application form

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/adv_gene_mapping_schedule_Jan_2027.pdf Schedule]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Rockefeller_advanced_course_flyer_Jan_27.pdf Flyer]

Advgenemap2027

2026-09-22T14:39:14Z

Serveradmin: /* The Rockefeller University */

__NOTITLE__

==Advanced Gene Mapping Course==
The Rockefeller University
Welch Building - The Great Hall
1230 York Avenue (at East 66th Street)
New York, NY 10065´

Monday through Friday, January 11-15, 2027

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus), room, and board (up to 295 USD per day) will be covered for those participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics are screening criteria for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====
Application Deadline: November 16, 2026

Application form

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/adv_gene_mapping_schedule_Jan_2027.pdf Schedule]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Rockefeller_advanced_course_flyer_Jan_27.pdf Flyer]

Advgenemap2027

2026-09-22T14:38:23Z

Serveradmin: /* The Rockefeller University */

__NOTITLE__

==Advanced Gene Mapping Course==
=The Rockefeller University=
Welch Building - The Great Hall

1230 York Avenue (at East 66th Street)

New York, NY 10065´

Monday through Friday, January 11-15, 2027

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus), room, and board (up to 295 USD per day) will be covered for those participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics are screening criteria for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====
Application Deadline: November 16, 2026

Application form

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/adv_gene_mapping_schedule_Jan_2027.pdf Schedule]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Rockefeller_advanced_course_flyer_Jan_27.pdf Flyer]

Advgenemap2027

2026-09-22T14:37:46Z

Serveradmin: /* Advanced Gene Mapping Course */

__NOTITLE__

==Advanced Gene Mapping Course==
==The Rockefeller University==

Welch Building - The Great Hall

1230 York Avenue (at East 66th Street)

New York, NY 10065´

Monday through Friday, January 11-15, 2027

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus), room, and board (up to 295 USD per day) will be covered for those participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics are screening criteria for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====
Application Deadline: November 16, 2026

Application form

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/adv_gene_mapping_schedule_Jan_2027.pdf Schedule]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Rockefeller_advanced_course_flyer_Jan_27.pdf Flyer]

Advgenemap2027

2026-09-22T14:36:47Z

Serveradmin: /* Advanced Gene Mapping Course */

__NOTITLE__

==Advanced Gene Mapping Course==
The Rockefeller University

Welch Building - The Great Hall

1230 York Avenue (at East 66th Street)

New York, NY 10065´

Monday through Friday, January 11-15, 2027

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus), room, and board (up to 295 USD per day) will be covered for those participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics are screening criteria for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====
Application Deadline: November 16, 2026

Application form

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/adv_gene_mapping_schedule_Jan_2027.pdf Schedule]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Rockefeller_advanced_course_flyer_Jan_27.pdf Flyer]

Advgenemap2027

2026-09-22T14:36:08Z

Serveradmin: /* Advanced Gene Mapping Course */

__NOTITLE__

==Advanced Gene Mapping Course==
The Rockefeller University

Welch Building - The Great Hall
1230 York Avenue (at East 66th Street)
New York, NY 10065´

Monday through Friday, January 11-15, 2027

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus), room, and board (up to 295 USD per day) will be covered for those participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics are screening criteria for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====
Application Deadline: November 16, 2026

Application form

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/adv_gene_mapping_schedule_Jan_2027.pdf Schedule]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Rockefeller_advanced_course_flyer_Jan_27.pdf Flyer]

Advgenemap2027

2026-09-22T14:35:41Z

Serveradmin: /* Advanced Gene Mapping Course */

__NOTITLE__

==Advanced Gene Mapping Course==
The Rockefeller University

Welch Building - The Great Hall

1230 York Avenue (at East 66th Street)

New York, NY 10065´

Monday through Friday, January 11-15, 2027

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus), room, and board (up to 295 USD per day) will be covered for those participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics are screening criteria for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====
Application Deadline: November 16, 2026

Application form

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/adv_gene_mapping_schedule_Jan_2027.pdf Schedule]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Rockefeller_advanced_course_flyer_Jan_27.pdf Flyer]

Advgenemap2027

2026-09-22T14:35:09Z

Serveradmin: /* Advanced Gene Mapping Course */

__NOTITLE__

==Advanced Gene Mapping Course==
The Rockefeller University

Welch Building - The Great Hall

1230 York Avenue (at East 66th Street)

New York, NY 10065´

Monday through Friday, January 11-15, 2027

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus), room, and board (up to 295 USD per day) will be covered for those participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics are screening criteria for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====
Application Deadline: November 16, 2026

Application form

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/adv_gene_mapping_schedule_Jan_2027.pdf Schedule]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Rockefeller_advanced_course_flyer_Jan_27.pdf Flyer]

Advgenemap2027

2026-09-22T14:34:23Z

Serveradmin: /* Advanced Gene Mapping Course */

Advgenemap2027

2026-09-22T14:32:51Z

Serveradmin: /* Advanced Gene Mapping Course */

__NOTITLE__

==Advanced Gene Mapping Course==
The Rockefeller University

¶1230 York Avenue (at East 66th Street)

¶New York, NY 10065

Welch Building - The Great Hall 
Monday through Friday, January 11-15, 2027

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus), room, and board (up to 295 USD per day) will be covered for those participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics are screening criteria for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====
Application Deadline: November 16, 2026

Application form

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/adv_gene_mapping_schedule_Jan_2027.pdf Schedule]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Rockefeller_advanced_course_flyer_Jan_27.pdf Flyer]

Advgenemap2027

2026-09-22T14:17:19Z

Serveradmin: /* For additional information, contact the course organizers: Andrew DeWan and Suzanne Leal */

__NOTITLE__

==Advanced Gene Mapping Course==
The Rockefeller University, New York 
Welch - The Great Hall 
Monday through Friday, January 11-15, 2027

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus), room, and board (up to 295 USD per day) will be covered for those participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics are screening criteria for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====
Application Deadline: November 16, 2026

Application form

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/adv_gene_mapping_schedule_Jan_2027.pdf Schedule]

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Rockefeller_advanced_course_flyer_Jan_27.pdf Flyer]

Advgenemap2027

2026-09-22T14:16:07Z

Serveradmin: /* For additional information, contact the course organizers: Andrew DeWan and Suzanne Leal */

__NOTITLE__

==Advanced Gene Mapping Course==
The Rockefeller University, New York 
Welch - The Great Hall 
Monday through Friday, January 11-15, 2027

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus), room, and board (up to 295 USD per day) will be covered for those participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics are screening criteria for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====
Application Deadline: November 16, 2026

Application form

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/adv_gene_mapping_schedule_Jan_2027.pdf Schedule]

[httphttps://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Rockefeller_advanced_course_flyer_Jan_27.pdf:// ]

Advgenemap2027

2026-09-22T14:14:04Z

Serveradmin: /* For additional information, contact the course organizers: Andrew DeWan and Suzanne Leal */

__NOTITLE__

==Advanced Gene Mapping Course==
The Rockefeller University, New York 
Welch - The Great Hall 
Monday through Friday, January 11-15, 2027

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus), room, and board (up to 295 USD per day) will be covered for those participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics are screening criteria for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====
Application Deadline: November 16, 2026

Application form

[https://github.com/statgenetics/statgen-courses/blob/master/AGM2027/adv_gene_mapping_schedule_Jan_2027.pdf Schedule]

[httphttps://github.com/statgenetics/statgen-courses/blob/master/AGM2027/Rockefeller_advanced_course_flyer_Jan_27.pdf:// Flyer]

Advgenemap2027

2026-09-22T14:13:07Z

Serveradmin: /* For additional information, contact the course organizers: Andrew DeWan and Suzanne Leal */

Main Page

2026-09-22T13:14:44Z

Serveradmin: /* Statistical Genetics Courses */

__NOTOC__

==Statistical Genetics Training Resources==
We are an international group of statistical geneticists who wish to make training resources available to the genetics community. We offer tutorials for a variety of analysis tools/software. We also offer courses on a variety of topics related to analysis of human genetic data.

===Our group===
* Heather Cordell, Ph.D. (Newcastle University)
* Andrew DeWan, Ph.D. (Yale University)
* Suzanne M. Leal, Ph.D. (Columbia University and Rockefeller University)
* Michael Nothnagel, Ph.D. (University of Cologne)
* Gao T. Wang, Ph.D. (Columbia University)

==Statistical Genetics Courses==
'''[[Advgenemap2026|Advanced Gene Mapping]]''' (January 11-15, 2027) The Rockefeller University, New York, USA

'''[[GABeyond2026|Genetic Association and Beyond: Statistical Methods to Elucidate Complex Trait Etiology]]''' September 14-18, 2026 The Max Delbrück Center, Berlin, Germany

==Tutorials for Courses==
* [[Tutorials#FastLMM_&_GCTA|FastLMM & GCTA]]
* [[Tutorials#Mendelian Randomization|Mendelian Randomization]]
* [[Tutorials#Pleiotropy|Pleiotropy]]
* [[Tutorials#PLINK_GWAS:_Data_Quality_Control_and Association_Analysis_Controlling_for_Population_Substructure|PLINK GWAS: QC and Controlling for Population Substructure]]
* [[Tutorials#Power_Analysis|Power Analysis]]
* [[Tutorials#REGENIE|REGENIE]]
* [[Tutorials#Regression_and_Intro_to_PLINK_and_R|Regression and Intro to PLINK and R]]
* [[Tutorials#Pencil_and_Paper_Exercise|Pencil and Paper Exercise]]

Main Page

2026-09-22T13:14:37Z

Serveradmin: /* Statistical Genetics Courses */

Main Page

2026-09-22T13:14:19Z

Serveradmin: /* Statistical Genetics Courses */

__NOTOC__

==Statistical Genetics Training Resources==
We are an international group of statistical geneticists who wish to make training resources available to the genetics community. We offer tutorials for a variety of analysis tools/software. We also offer courses on a variety of topics related to analysis of human genetic data.

===Our group===
* Heather Cordell, Ph.D. (Newcastle University)
* Andrew DeWan, Ph.D. (Yale University)
* Suzanne M. Leal, Ph.D. (Columbia University and Rockefeller University)
* Michael Nothnagel, Ph.D. (University of Cologne)
* Gao T. Wang, Ph.D. (Columbia University)

==Statistical Genetics Courses==
'''[[Advgenemap2026|Advanced Gene Mapping]]''' (January 11-15 2027) The Rockefeller University, New York, USA

'''[[GABeyond2026|Genetic Association and Beyond: Statistical Methods to Elucidate Complex Trait Etiology]]''' September 14-18, 2026 The Max Delbrück Center, Berlin, Germany

==Tutorials for Courses==
* [[Tutorials#FastLMM_&_GCTA|FastLMM & GCTA]]
* [[Tutorials#Mendelian Randomization|Mendelian Randomization]]
* [[Tutorials#Pleiotropy|Pleiotropy]]
* [[Tutorials#PLINK_GWAS:_Data_Quality_Control_and Association_Analysis_Controlling_for_Population_Substructure|PLINK GWAS: QC and Controlling for Population Substructure]]
* [[Tutorials#Power_Analysis|Power Analysis]]
* [[Tutorials#REGENIE|REGENIE]]
* [[Tutorials#Regression_and_Intro_to_PLINK_and_R|Regression and Intro to PLINK and R]]
* [[Tutorials#Pencil_and_Paper_Exercise|Pencil and Paper Exercise]]

Main Page

2026-09-22T13:14:13Z

Serveradmin: /* Statistical Genetics Courses */

__NOTOC__

==Statistical Genetics Training Resources==
We are an international group of statistical geneticists who wish to make training resources available to the genetics community. We offer tutorials for a variety of analysis tools/software. We also offer courses on a variety of topics related to analysis of human genetic data.

===Our group===
* Heather Cordell, Ph.D. (Newcastle University)
* Andrew DeWan, Ph.D. (Yale University)
* Suzanne M. Leal, Ph.D. (Columbia University and Rockefeller University)
* Michael Nothnagel, Ph.D. (University of Cologne)
* Gao T. Wang, Ph.D. (Columbia University)

==Statistical Genetics Courses==
'''[[Advgenemap2026|Advanced Gene Mapping]]''' (January 11-15 2027) The Rockefeller University, New York, USA

'''[[GABeyond2026|Genetic Association and Beyond: Statistical Methods to Elucidate Complex Trait Etiology]]''' September 14-18, 2026 The Max Delbrück Center, Berlin, Germany

==Tutorials for Courses==
* [[Tutorials#FastLMM_&_GCTA|FastLMM & GCTA]]
* [[Tutorials#Mendelian Randomization|Mendelian Randomization]]
* [[Tutorials#Pleiotropy|Pleiotropy]]
* [[Tutorials#PLINK_GWAS:_Data_Quality_Control_and Association_Analysis_Controlling_for_Population_Substructure|PLINK GWAS: QC and Controlling for Population Substructure]]
* [[Tutorials#Power_Analysis|Power Analysis]]
* [[Tutorials#REGENIE|REGENIE]]
* [[Tutorials#Regression_and_Intro_to_PLINK_and_R|Regression and Intro to PLINK and R]]
* [[Tutorials#Pencil_and_Paper_Exercise|Pencil and Paper Exercise]]

Main Page

2026-09-22T13:14:06Z

Serveradmin: /* Statistical Genetics Courses */

__NOTOC__

==Statistical Genetics Training Resources==
We are an international group of statistical geneticists who wish to make training resources available to the genetics community. We offer tutorials for a variety of analysis tools/software. We also offer courses on a variety of topics related to analysis of human genetic data.

===Our group===
* Heather Cordell, Ph.D. (Newcastle University)
* Andrew DeWan, Ph.D. (Yale University)
* Suzanne M. Leal, Ph.D. (Columbia University and Rockefeller University)
* Michael Nothnagel, Ph.D. (University of Cologne)
* Gao T. Wang, Ph.D. (Columbia University)

==Statistical Genetics Courses==
'''[[Advgenemap2026|Advanced Gene Mapping]]''' (January 11-15 2027) The Rockefeller University, New York, USA

'''[[GABeyond2026|Genetic Association and Beyond: Statistical Methods to Elucidate Complex Trait Etiology]]''' September 14-18, 2026 The Max Delbrück Center, Berlin, Germany

==Tutorials for Courses==
* [[Tutorials#FastLMM_&_GCTA|FastLMM & GCTA]]
* [[Tutorials#Mendelian Randomization|Mendelian Randomization]]
* [[Tutorials#Pleiotropy|Pleiotropy]]
* [[Tutorials#PLINK_GWAS:_Data_Quality_Control_and Association_Analysis_Controlling_for_Population_Substructure|PLINK GWAS: QC and Controlling for Population Substructure]]
* [[Tutorials#Power_Analysis|Power Analysis]]
* [[Tutorials#REGENIE|REGENIE]]
* [[Tutorials#Regression_and_Intro_to_PLINK_and_R|Regression and Intro to PLINK and R]]
* [[Tutorials#Pencil_and_Paper_Exercise|Pencil and Paper Exercise]]

Advgenemap2027

2026-09-22T13:02:50Z

Serveradmin: /* For additional information, contact the course organizers: Andrew DeWan and Suzanne Leal */

__NOTITLE__

==Advanced Gene Mapping Course==
The Rockefeller University, New York 
Welch - The Great Hall 
Monday through Friday, January 11-15, 2027

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus), room, and board (up to 295 USD per day) will be covered for those participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics are screening criteria for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====

Application Deadline: November 16, 2026

Application form

Schedule

Flyer

Tutorials

2026-09-22T10:43:09Z

Serveradmin: /* Pleiotropy */

==Tutorials for Courses==
* [[Tutorials#FastLMM_&_GCTA|FastLMM & GCTA]]
* [[Tutorials#Mendelian Randomization|Mendelian Randomization]]
* [[Tutorials#Pleiotropy|Pleiotropy]]
* [[Tutorials#PLINK_GWAS:_Data_Quality_Control_and Association_Analysis_Controlling_for_Population_Substructure|PLINK GWAS: QC and Controlling for Population Substructure]]
* [[Tutorials#Power_Analysis|Power Analysis]]
* [[Tutorials#REGENIE|REGENIE]]
* [[Tutorials#Regression_and_Intro_to_PLINK_and_R|Regression and Intro to PLINK and R]]
* [[Tutorials#Pencil_and_Paper_Exercise|Pencil and Paper Exercise]]

==Running Tutorials on Your Computer==
We adopt [https://www.docker.com/ docker] to run our course material, and we have created various [https://hub.docker.com/u/statisticalgenetics docker repositories] with freely available Docker images for users to readily run our exercises on their own computers using [https://docs.docker.com/desktop/ Docker Desktop]. These docker images are for multi-platform use (Mac, Windows, or Linux). More information regarding instructions to install Docker Desktop and to run the course material on your computer is detailed in the documentation below.

===General instructions===
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Statistical_Genetics_Exercise_Instructions.pdf Instructions to install Docker Desktop and running the course material on your computer]

===Tutorial specific instructions===
Please refer to the previous section for instructions on the installation of Docker Desktop and basic usages.

Material and instructions for specific exercise are listed in each section below. They provide links to pdf versions of the exercises and a minimal set of commands to use for downloading the docker images and running an exercise.

==FastLMM & GCTA==
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/FastLMM_GCTA.pdf FastLMM & GCTA Exercise [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/FastLMM_GCTA_Outputs.pdf FastLMM & GCTA Output [PDF]]
* [https://hub.docker.com/r/statisticalgenetics/fastlmm-gcta FastLMM & GCTA Docker Image]

To pull and download the docker image from the Docker Hub repository,

<pre>docker pull statisticalgenetics/fastlmm-gcta</pre>
To run the exercise from the downloaded docker image,

<pre>docker run --rm -p 8888:8888 statisticalgenetics/fastlmm-gcta</pre>

==Mendelian Randomization==
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Mendelian_Randomization.pdf Mendelian Randomization Exercise [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Mendelian_Randomization_Outputs.pdf// Mendelian Randomization Output [PDF]]
* [https://hub.docker.com/r/statisticalgenetics/mendelian-randomization Mendelian Randomization Docker Image]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Mendelian_Randomization_Questions.pdf Mendelian Randomization Questions [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Mendelian_Randomization_Answers.pdf Mendelian Randomization Answers [PDF]]

To pull and download the docker image from the Docker Hub repository,

<pre>docker pull statisticalgenetics/mendelian-randomization</pre>
To run the exercise from the downloaded docker image,

<pre>docker run --rm -p 8888:8888 statisticalgenetics/mendelian-randomization</pre>

==Pleiotropy and Mediation Analysis==
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Pleiotropy.pdf Pleiotropy Exercise [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Pleiotropy_Outputs.pdf Pleiotropy Output [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/Pleiotropy_answers.pdf Pleiotropy Docker Image]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Pleiotropy_Questions.pdf Pleiotropy Questions [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Pleiotropy_Answers.pdf Pleiotropy Answers [PDF]]

To pull and download the docker image from the Docker Hub repository,

<pre>docker pull statisticalgenetics/pleiotropy</pre>
To run the exercise from the downloaded docker image,

<pre>docker run --rm -p 8888:8888 statisticalgenetics/pleiotropy</pre>

==PLINK GWAS: Data Quality Control and Association Analysis Controlling for Population Substructure==
These exercises run using a shared docker image, however the exercises are split into two separate notebooks.

* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/PLINK_Data_QC.pdf PLINK GWAS: Data QC Exercise [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/PLINK_Data_QC_Outputs.pdf PLINK GWAS: Data QC Output [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/PLINK_Data_QC_Questions.pdf PLINK GWAS: Data QC Questions [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/PLINK_Data_QC_Answers.pdf PLINK GWAS: Data QC Answers [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/PLINK_GWAS_Substructure.pdf PLINK GWAS: Population Substructure Exercise [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/PLINK_GWAS_Substructure_Outputs.pdf PLINK GWAS: Population Substructure Output [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/PLINK_GWAS_Substructure_Questions.pdf PLINK GWAS: Population Substructure Questions [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/PLINK_GWAS_Substructure_Answers.pdf PLINK GWAS: Population Substructure Answers [PDF]]
* [https://hub.docker.com/r/statisticalgenetics/plink-gwas PLINK GWAS Docker Image]

To pull and download the docker image from the Docker Hub repository,

<pre>docker pull statisticalgenetics/plink-gwas</pre>
To run the exercise from the downloaded docker image,

<pre>docker run --rm -p 8888:8888 statisticalgenetics/plink-gwas</pre>

==Power Analysis==
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Power_Calculations_Questions.pdf Power Analysis Questions [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Power_Calculations_Answers.pdf Power Analysis Answers [PDF]]

==REGENIE==
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Regenie.pdf Regenie Exercise [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Regenie_Outputs.pdf Regenie Output [PDF]]
* [https://hub.docker.com/r/statisticalgenetics/regenie Regenie Docker Image]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Regenie_Questions.pdf Regenie Questions [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Regenie_Answers.pdf Regenie Answers [PDF]]

To pull and download the docker image from the Docker Hub repository,

<pre>docker pull statisticalgenetics/regenie</pre>
To run the exercise from the downloaded docker image,

<pre>docker run --rm -p 8888:8888 statisticalgenetics/regenie</pre>

==Regression and Intro to PLINK and R==
These exercises run using a shared docker image, however the exercises are split into two separate notebooks.

* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Regression.pdf Regression Exercise [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Regression_Outputs.pdf Regression Output [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Regression_Questions.pdf Regression Questions [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Regression_Answers.pdf Regression Answers [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Intro_Plink_R.pdf Intro to PLINK & R Exercise [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Intro_Plink_R_Outputs.pdf Intro to PLINK & R Output [PDF]]
* [https://hub.docker.com/r/statisticalgenetics/regression-plink-r Regression and Intro to PLINK & R Docker Image]

To pull and download the docker image from the Docker Hub repository,

<pre>docker pull statisticalgenetics/regression-plink-r</pre>
To run the exercise from the downloaded docker image,

<pre>docker run --rm -p 8888:8888 statisticalgenetics/regression-plink-r</pre>

==Pencil and Paper Exercise==
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Population_Genetics_Questions.pdf Population Genetics Questions [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Population_Genetics_Answers.pdf Population Genetics Answers [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Linkage_Disequilibrium_Questions.pdf Linkage Disequilibrium Questions [PDF]]
* [https://github.com/statgenetics/statgen-courses/blob/master/handouts_2026/Linkage_Disequilibrium_Answers.pdf Linkage Disequilibrium Answers [PDF]]

Advgenemap2027

2026-09-21T15:51:23Z

Serveradmin: /* Additional Information */

Advgenemap2027

2026-09-21T15:48:59Z

Serveradmin: /* Additional Information */

__NOTITLE__

==Advanced Gene Mapping Course==
The Rockefeller University, New York 
Welch - The Great Hall 
Monday through Friday, January 11-15, 2027

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus), room, and board (up to 295 USD per day) will be covered for those participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics are screening criteria for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject="Rockefeller Advanced Gene Mapping Course 2027" Andrew DeWan and Suzanne Leal]=====

Advgenemap2027

2026-09-21T15:47:36Z

Serveradmin: /* Additional Information */

__NOTITLE__

==Advanced Gene Mapping Course==
The Rockefeller University, New York 
Welch - The Great Hall 
Monday through Friday, January 11-15, 2027

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus), room, and board (up to 295 USD per day) will be covered for those participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics are screening criteria for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller Advanced Gene Mapping Course 2027 Andrew DeWan and Suzanne Leal]=====

Advgenemap2027

2026-09-21T15:46:26Z

Serveradmin: /* Additional Information */

__NOTITLE__

==Advanced Gene Mapping Course==
The Rockefeller University, New York 
Welch - The Great Hall 
Monday through Friday, January 11-15, 2027

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus), room, and board (up to 295 USD per day) will be covered for those participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics are screening criteria for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).

=====For additional information, contact the course organizers: <a href=mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027"> Andrew DeWan and Suzanne Leal</a>=====

Advgenemap2027

2026-09-21T15:40:04Z

Serveradmin: /* Additional Information */

__NOTITLE__

==Advanced Gene Mapping Course==
The Rockefeller University, New York 
Welch - The Great Hall 
Monday through Friday, January 11-15, 2027

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus), room, and board (up to 295 USD per day) will be covered for those participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics are screening criteria for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute.

=====For additional information, contact the course organizers: <a href=mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027"> Andrew DeWan and Suzanne Leal</a>=====

Advgenemap2027

2026-09-21T15:31:27Z

Serveradmin: /* Additional Information */

__NOTITLE__

==Advanced Gene Mapping Course==
The Rockefeller University, New York 
Welch - The Great Hall 
Monday through Friday, January 11-15, 2027

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

Travel costs (i.e., plane, train, bus), room, and board (up to 295 USD per day) will be covered for those participants whose home institution is more than 20 miles from The Rockefeller University.

Knowledge of genetic association analysis, genetic epidemiology, and/or statistical genetics are screening criteria for the selection of participants. Please submit a copy of your CV with your application as well as a cover letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

The course is supported by generous funding from the National Human Genome Research Institute.

For additional information, contact the course organizers: [Andrew DeWan and Suzanne Leal mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027]:

Advgenemap2027

2026-09-21T15:21:52Z

Serveradmin: /* General Information */

__NOTITLE__

==Advanced Gene Mapping Course==
The Rockefeller University, New York 
Welch - The Great Hall 
Monday through Friday, January 11-15, 2027

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; meta-analysis, Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institutes of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes, but is not limited to FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

Travel costs, room, and board will be covered for those participants whose home institution is more than 20 miles from the Rockefeller University.

Knowledge genetic association analysis, genetic epidemiology, and/or statistical genetics are screening criteria for the selection of participants. Please submit a copy of your CV with your application as well as a letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is supported by generous funding from the National Human Genome Research Institute.

For additional information, contact the course organizers: Andrew DeWan and Suzanne Leal [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027]:

Advgenemap2027

2026-09-21T15:17:12Z

Serveradmin: /* General Information */

__NOTITLE__

==Advanced Gene Mapping Course==
The Rockefeller University, New York 
Welch - The Great Hall 
Monday through Friday, January 11-15, 2027

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027. The cost of the 5-day course is $200 for students, academic, and government researchers, and $3,500 for researchers working in industry. This fee covers tuition and course-related expenses.

The course emphasizes analyzing sequence and other omics data to elucidate the genetic etiology of complex human disease traits. Topics will include data quality control of sequence and other types of data; single variant and aggregate rare variant association analysis of whole-genome data (genotype, sequence, and imputed) for qualitative and quantitative traits (population and family data); controlling for population admixture and substructure; linear mixed models (LMM) and generalized LMM (GLMM); meta-analysis; sample size estimation, and power calculations; detecting gene x gene and gene x environmental interactions; heritability estimation; transcriptome-wide association studies (TWAS); analysis of RNA-Seq data; eQTL mapping; proteomic-wide association studies (PWAS), elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; Mendelian randomization; mediation analysis; LD clumping and fine mapping. As mandated by the National Institute of Health (NIH) there will also be a special session on responsible conduct of research that will include sessions on conflict of interest, research ethics, data management (security), and ethical use of human research subjects.

A variety of freely available software will be used to perform the practical exercises, due to differences in their functionality. This software includes but is not limited to FaST-LMM, GCTA, LDscore,MR-JTI, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

==Course Instructors==
The instructors for the course are Heather Cordell (University of Newcastle), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University). TBN (HRP Consulting Group) will lecture on ethics and the regulation of human subject research. A special guest lecture will be given by Jurg Ott (The Rockefeller University).

==Additional Information==
The maximum number of participants for this course is 42.

The course is wheelchair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

Travel costs, room, and board will be covered for those participants whose home institution is more than 20 miles from the Rockefeller University.

Knowledge genetic association analysis, genetic epidemiology, and/or statistical genetics are screening criteria for the selection of participants. Please submit a copy of your CV with your application as well as a letter describing your expertise/experience in detail, e.g., research and training in statistical genetics or related fields. We may contact you personally to discuss your application.

The course is supported by generous funding from the National Human Genome Research Institute.

For additional information, contact the course organizers: Andrew DeWan and Suzanne Leal [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027]: