American Statistical Association
There are several challenges in the transition from single-marker tests on common SNPs in genome-wide association studies to set-based inference on all variants in a functional element, with genotypes called from second-generation sequencing data. I will present a framework for the analysis of sequence data where we harness population genetics theory to provide prior information on effect sizes that allows a general and powerful test for association. I will also discuss some of the challenges in this transition, including: (i) the construction of sets; (ii) the implicit and explicit assumptions on underlying genetic models of risk for a given set; (iii) interactions with environment and ancestry; and (iv) the interpretation of results.
|Date:||Wednesday, February 8, 2012|
|Time:||11:00 A.M. - 12:00 P.M.|
Memorial Sloan-Kettering Cancer Center
Department of Epidemiology and Biostatistics
307 East 63rd Street
(between First and Second Avenues)
New York, New York
Note: To gain access to the building, please follow the directions by the telephone in the foyer.