The aim of this proposal is to hold an annual, full-week course in advanced gene mapping at The Rockefeller University in New York. The course is directed towards advanced researchers who are familiar with the fundamental aspects of statistical genetics but who need to become more proficient in the analysis of complex traits. Thirty-four students will be accepted to each course, and stipends, to cover travel costs, will be provided to ten participants who are either pre-doctoral students or post-doctoral fellows. The course consists of two components: lectures on important current topics in gene mapping, as well as hands-on exercises to be performed with the latest freeware software programs using cloud computing. The current emphasis of the course is analyses of sequence and other omics data. The next Advanced Gene Mapping course will be held January 27-31, 2020. The PI and five additional instructors who are experts in their respective fields will teach on a variety of topics that include: data quality control; qualitative and quantitative trait (population and family-based data) association analysis of whole-genome data (genotype, sequence, and imputed); controlling for population admixture and substructure; meta-analysis; sample size estimation and power calculations; detecting gene x gene interactions; analysis of epigenomic and RNAseq data; elucidating pleiotropy; functional prediction and variant annotation; estimation of polygenic risk scores; Mendelian randomization and mediation analysis; and fine mapping. A variety of freely available software including ANNOVAR, GCTA-MLMA, PAINTOR, LDpred, PrediXCan, R, SEQSpark, and VAT will be implemented to perform practical exercises. Since gene mapping is a quickly changing field, the topics and analytic programs will be updated annually to reflect the latest developments in the field of statistical genetics. Given the vast amounts of generated genetic data, it is essential to train researchers and give them the necessary information and tools for data analysis to elucidate the etiology of complex traits.

Public Health Relevance

The aim of this proposal is to hold an annual, full-week advanced gene mapping course at The Rockefeller University in New York City. The course is directed towards advanced researchers with knowledge in statistics and genetics and will provide participants with information on the latest methods to identify pathogenic suscptibility variants for complex traits and disease. Thirty- four participants will be admitted to the course and travel stipends will be provided to ten trainees who are either pre-doctoral students or post-doctoral fellows to cover the cost of airfare and hotel.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Education Projects (R25)
Project #
5R25HG007511-08
Application #
10147133
Study Section
National Human Genome Research Institute Initial Review Group (GNOM)
Program Officer
Colley, Heather
Project Start
2014-04-01
Project End
2025-02-28
Budget Start
2021-03-01
Budget End
2022-02-28
Support Year
8
Fiscal Year
2021
Total Cost
Indirect Cost
Name
Rockefeller University
Department
Biostatistics & Other Math Sci
Type
Graduate Schools
DUNS #
071037113
City
New York
State
NY
Country
United States
Zip Code
10065