A permutation procedure to correct for confounders in case-control studies, including tests of rare variation.

ABSTRACT: Many case-control tests of rare variation are implemented in statistical frameworks that make correction for confounders like population stratification difficult. Simple permutation of disease status is unacceptable for resolving this issue because the replicate data sets do not have the same confounding as the original data set. These limitations make it difficult to apply rare-variant tests to samples in which confounding most likely exists, e.g., samples collected from admixed populations. To enable the use of such rare-variant methods in structured samples, as well as to facilitate permutation tests for any situation in which case-control tests require adjustment for confounding covariates, we propose to establish the significance of a rare-variant test via a modified permutation proce

SUBMITTER: Epstein MP 

PROVIDER: S-EPMC3415546 | biostudies-literature | 2012 Aug

REPOSITORIES: biostudies-literature