RT Journal Article
SR Electronic
T1 Review: Population Structure in Genetic Studies: Confounding Factors and Mixed Models
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 092106
DO 10.1101/092106
A1 Martin, Lana S.
A1 Eskin, Eleazar
YR 2016
UL http://biorxiv.org/content/early/2016/12/07/092106.abstract
AB A genome-wide association study (GWAS) seeks to identify genetic variants that contribute to the development and progression of a specific disease. Over the past 10 years, new approaches using mixed models have emerged to mitigate the deleterious effects of population structure and relatedness in association studies. However, developing GWAS techniques to effectively test for association while correcting for population structure is a computational and statistical challenge. Our review motivates the problem of population structure in association studies using laboratory mouse strains and how it can cause false positives associations. We then motivate mixed models in the context of unmodeled factors.