페이지 정보작성일10-06-03 09:45 조회1,122회
Testing for Genetic Associations in the Presence of Arbitrarily Complex Population Structure
일 시: 2010년 6월 11일(월) 오후 5시
장 소: 베어드홀 517호
강 사: 송민선 박사 / Princeton University
In this talk, we present a new statistical test of association between a trait (quantitative, binary, or count) and genetic markers, which we prove to be robust to arbitrarily complex population structure. The statistical test involves a set of parameters which can be directly estimated from large-scale genotyping data, such as that measured in genome-wide associations studies. The framework we present provides insights into why existing methods for association testing in structured populations work in specialized circumstances, but do not work in more general scenarios. In turn, we derive a new set of methodologies shown to provide accurate testing of association in populations with extremely complex structures, manifested at both the genetic and environmental levels.