Statistical Genetics Courses - Recent changes [en]

Advgenemap2027

Serveradmin — Tue, 22 Sep 2026 18:33:25 GMT

‎Advanced Gene Mapping Course

Advgenemap2026

Serveradmin — Tue, 22 Sep 2026 18:27:14 GMT

Serveradmin moved page Advgenemap2026 to Advgenemap2027

Main Page

Serveradmin — Tue, 22 Sep 2026 13:14:44 GMT

‎Statistical Genetics Courses

Advgenemap2026

Serveradmin — Tue, 22 Sep 2026 13:02:50 GMT

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

Tutorials

Serveradmin — Tue, 22 Sep 2026 10:43:09 GMT

‎Pleiotropy

Advgenemap2026

Serveradmin — Mon, 21 Sep 2026 15:51:23 GMT

‎Additional Information

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

@@ Line 12: / Line 12: @@
 ==Statistical Genetics Courses==
-'''[[Advgenemap2026|Advanced Gene Mapping]]'''<br />(January 11-15 2027) tenative<br />The Rockefeller University, New York, USA
+'''[[Advgenemap2026|Advanced Gene Mapping]]'''<br />(January 11-15, 2027) <br />The Rockefeller University, New York, USA
 '''[[GABeyond2026|Genetic Association and Beyond: Statistical Methods to Elucidate Complex Trait Etiology]]'''<br />September 14-18, 2026 <br />The Max Delbrück Center, Berlin, Germany

← Older revision		Revision as of 13:02, 22 September 2026
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	=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====		=====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

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 <pre>docker run --rm -p 8888:8888 statisticalgenetics/mendelian-randomization</pre>
-==Pleiotropy==
+==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]]

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 ==General Information==
-An Advanced Gene Mapping course will be held in New York from Monday through Friday, January 11-15, 2027 (tentative). The cost of the 5-day course is $100 for students, academic, and government researchers, and $2,500 for researchers working in industry. This fee covers tuition and course-related expenses (cloud computing, etc.).
+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; LDclumping 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.
+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, LDscore,MR-JTI, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.
+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==
@@ Line 19: / Line 19: @@
 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 (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.
-Travel costs, room, and board 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.
-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 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.
+The course is supported by generous funding from the National Human Genome Research Institute (2R25HG007511).
-For additional information, contact the course organizers: Andrew DeWan and Suzanne Leal [mailto:advancedgenemappingcourse@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027]:
+=====For additional information, contact the course organizers: [mailto:advancedgenemapping@gmail.com?subject=Rockefeller%20Advanced%20Gene%20Mapping%20Course%202027 Andrew DeWan and Suzanne Leal]=====