Unified Analysis of Secondary Traits in Case-Control Association Studies.

ABSTRACT: It has been repeatedly shown that in case-control association studies, analysis of a secondary trait which ignores the original sampling scheme can produce highly biased risk estimates. Although a number of approaches have been proposed to properly analyze secondary traits, most approaches fail to reproduce the marginal logistic model assumed for the original case-control trait and/or do not allow for interaction between secondary trait and genotype marker on primary disease risk. In addition, the flexible handling of covariates remains challenging. We present a general retrospective likelihood framework to perform association testing for both binary and continuous secondary traits which respects marginal models and incorporates the interaction term. We provide a computational algorithm, b

SUBMITTER: Ghosh A 

PROVIDER: S-EPMC3881430 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature