Analysis of case-control association studies with known risk variants.

ABSTRACT:

Motivation

The question of how to best use information from known associated variants when conducting disease association studies has yet to be answered. Some studies compute a marginal P-value for each Several Nucleotide Polymorphisms independently, ignoring previously discovered variants. Other studies include known variants as covariates in logistic regression, but a weakness of this standard conditioning strategy is that it does not account for disease prevalence and non-random ascertainment, which can induce a correlation structure between candidate variants and known associated variants even if the variants lie on different chromosomes. Here, we propose a new conditioning approach, which is based in part on the classical technique of liability threshold modeling. Roughly, thi

SUBMITTER: Zaitlen N 

PROVIDER: S-EPMC3381970 | biostudies-literature | 2012 Jul

REPOSITORIES: biostudies-literature