View source for Advgenemap2020

__NOTITLE__

==Advanced Gene Mapping Course==
The Rockefeller University, New York <br />
Welch – The Great Hall<br />
Monday through Friday, January 27-31, 2020

==General Information==
An Advanced Gene Mapping course will be held in New York from Monday through Friday January 27-31, 2020. The cost of the 5-day course is $100 for student, academic and government researchers and $2,800 for researchers working in industry. This fee covers tuition and course related expenses (handouts, etc.) but not room and board.

The course emphasis is on 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-based data); controlling for population admixture and substructure; generalized linear mix models and linear mixed models; meta-analysis; sample size estimation and power calculations; detecting gene x gene and gene x environmental interactions; analysis of epigenomic data, e.g methylation and chromatin; heritability estimation using variant and RNA-Seq data; analysis of RNA-Seq data; eQTL mapping; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; Mendelian randomization; mediation analysis; and fine mapping.''' '''As mandated by the NIH there will also be 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. PSEQ, SEQSpark, and VAT will be used to analyze sequence data to perform annotation, quality control, rare variant association analysis and meta-analysis. FaST-LMM, EPACTs, and GCTA-MLMA will be implemented to analyze population- and family-based data by applying generalized linear mixed models (qualitative traits) and linear mixed models (quantitative traits). For rare variant association analysis of trio data RV-TDT will be applied. MultiPhen (multivariate) and PLINK (univariate) will be contrasted in their ability to detect pleiotropy; Mediation analysis will be performed using R to aid in distinguishing between biological, mediated, and spurious pleiotropy. To make inferences on causality, Mendelian randomization will be performed using MR-base. Estimation of polygenic risk scores will be performed using LDpred. PAINTOR and FOCUS will be used for fine mapping to aid in the detection of causal susceptibility variants. Heritability estimates will be performed using GCTA. For analysis of eQTLs, Matrix eQTL will be used. Analysis of imputed expression data will be performed by applying PrediXCan; To perform analytical and empirical power analysis for single and rare variant aggregate tests, the Armitage Power Tool and the SKAT R library will be used. Additionally, variant annotation will be performed with ANNOVAR as well as directly using a variety of functional prediction and conservation tools, e.g. CADD, GERP, MutationTaster, MutPred, Polyphen-2, and SIFT.

==Course Instructors==
The instructors for the course are: Heather Cordell (University of Newcastle), Nancy Cox (Vanderbilt University), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Bogdan Pasaniuc (UCLA), and [http://www.fas.harvard.edu/~biophys/Shamil_Sunyaev.htm Shamil Sunyaev] (Harvard University).

==More Information==
The maximum number of participants is 34.  The course will take place in the Great Hall in Welch at The Rockefeller University, which is equipped with PCs running under LINUX. The course is wheel chair accessible.  All disabilities will be accommodated. Handicapped individuals are encouraged to apply.

Travel stipends of up to $1,000 each are available.  Eligibility requirements are: (1) sufficient background and practical experience in statistical analysis of genetic data, and (2) demonstrated financial need. Preference for stipends will be given to pre-doctoral students and postdoctoral researchers. To apply for such a stipend, please attach a letter of request and enclose a letter of reference and proof of student or postdoctoral status.

Knowledge genetic association analysis, genetic epidemiology and/or statistical genetics are screening criteria for selection of participants.  Please describe your experience in detail in your application. It is helpful if you also enclose a copy of your CV. We may contact you personally to discuss your application. Although experience of using LINUX is not necessary it is highly beneficial to have basic knowledge of this operating system before the start of the course.

For additional information, please contact [mailto:montagk@rockefeller.edu?subject=Rockefeller Advanced Gene Mapping Course 2020 Katherine Montague]: <br />email: [mailto:montagk@rockefeller.edu montagk@rockefeller.edu] <br />Tel: +1 (212) 327-7979 <br /> 

For additional information on scientific program contact the course organizer [mailto:suzannemleal@gmail.com?subject=Rockefeller Advanced Gene Mapping Course 2020 Suzanne Leal]: <br />email: [mailto:suzannemleal@gmail.com suzannemleal@gmail.com] or [mailto:sml3@cumc.columbia.edu sml3@cumc.columbia.edu] <br />Tel: +1 (212) 304-7047


[//statgen.us/files/2020/01/Rockefeller_advanced_course_flyer_2020.pdf Click here for course flyer] – Please Post and Distribute

[//statgen.us/files/2020/01/adv_gene_mapping_schedule_2020.pdf Click here for course schedule]

==Handouts==
===Heather Cordell===
====Lectures====
* [//www.statgen.us/files/2020/01/docs/lectures/NY2020-lecture1-nopause_4.pdf Genome-wide association studies (GWAS) - Part 1]
* [//www.statgen.us/files/2020/01/docs/lectures/NY2020-lecture2-nopause_4.pdf Genome-wide association studies (GWAS) - Part 2]

===Nancy Cox===
====Lectures====
* [//www.statgen.us/files/2020/01/docs/lectures/LealCourse_Cox_Jan2020.pdf Integrative  Approaches  in  Biobanks: Getting  to  Biological Mechanisms  of  Disease]

===Andrew DeWan===
====Lectures====
* [//www.statgen.us/files/2020/01/docs/lectures/Rockefeller_Adv_Course_DeWan_pleiotropy_4.pdf From cross-phenotype associations to pleiotropy in human genetic studies]

====Exercises====
* [//www.statgen.us/files/2020/01/docs/exercises/pleio_exercise.docx Pleiotropy Exercise]
* [//www.statgen.us/files/2020/01/docs/exercises/pleio_exercise_answers.docx Pleiotropy Exercise Answers]

===Suzanne Leal===
====Lectures====
* [//www.statgen.us/files/2020/01/docs/lectures/data_quality_control_1.pdf Data Quality Control]
* [//www.statgen.us/files/2020/01/docs/lectures/NGS_data_qc.pdf NGS Data Quality Control]
* [//www.statgen.us/files/2020/01/docs/lectures/analysis_rare_variants_part_1.pdf Complex Trait Association Analysis of Rare Variants]
* [//www.statgen.us/files/2020/01/docs/lectures/power_sample_sizes.pdf Power Analysis for Single and Rare Variant Aggregate Association Analyses]
* [//www.statgen.us/files/2020/01/docs/lectures/Analysis_rare_variants_part_2.pdf]

===Bogdan Pasanuic===
====Lectures====
* [//www.statgen.us/files/2020/01/docs/lectures/finemapping_pasaniuc.pdf Statistical fine-mapping of GWAS signals]

This course is supported by a grant from the National Institute of Health (NIH) - National Human Genome Research Institute (NHGRI).