Haplotype association analysis of combining unrelated case-control and triads with consideration of population stratification.

ABSTRACT: Combining data when data are collected under different study designs, such as family trios and unrelated case-control samples, gains more power and is cost-effective than analyzing each data separately. However, a potential concern is population stratification (PS) among unrelated case-control samples and analyses integrating data should address this confounding effect. In this paper, we develop a simpler method, haplotype generalized linear model (HGLM), that tests and estimates haplotype effects on disease risk and allows for modification against PS for combining data. We proposed to combine information across aggregations of haplotype weighted-counts estimated from population case-control data and trio data separately, and to perform subsequent GLM analysis. Furthermore, we present a fr

SUBMITTER: Wen SH 

PROVIDER: S-EPMC4028876 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature