Advanced Gene Mapping Course

The Rockefeller University, New York
Welch Building - The Great Hall

Monday through Friday, January 11-15, 2027

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 environmentalinteractions; 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.

A variety of freely available software will be used to perform the practical exercises, including: FaST-LMM, GCTA-GREML, LDscore regression, TwoSampleMR, MR-PRESSO, Mediation, MultiPhen, mvSuSie, PLINK, R, REGENIE, and SuSiE.

The course instructors are Heather Cordell (Newcastle University), Andrew DeWan (Yale University), Suzanne Leal (The Rockefeller University & Columbia University), Shamil Sunyaev (Harvard University), and Gao Wang (Columbia University).

The course fee 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 (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.  

For additional information, a copy of the course schedule, and the application form, please visit the course website: https://statgen.us/Advgenemap2027

The application deadline is November 16, 2026

For additional information, contact the course organizers at [email protected]

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