Armitage's trend test for genome-wide association analysis: one-sided or two-sided?

ABSTRACT: The importance of considering confounding due to population stratification in genome-wide association analysis using case-control designs has been a source of debate. Armitage's trend test, together with some other methods developed from it, can correct for population stratification to some extent. However, there is a question whether the one-sided or the two-sided alternative hypothesis is appropriate, or to put it another way, whether examining both the one-sided and the two-sided alternative hypotheses can give more information. The dataset for Problem 1 of Genetic Analysis Workshop 16 provides us with a chance to address this question. Because it is a part of a combined sample from the North American Rheumatoid Arthritis Consortium (NARAC) and the Swedish Epidemiological Investigation

SUBMITTER: Fang Y 

PROVIDER: S-EPMC2795935 | biostudies-literature | 2009 Dec

REPOSITORIES: biostudies-literature