| Literature DB >> 25664543 |
Omer Weissbrod1, Christoph Lippert2, Dan Geiger1, David Heckerman2.
Abstract
Linear mixed models (LMMs) have emerged as the method of choice for confounded genome-wide association studies. However, the performance of LMMs in nonrandomly ascertained case-control studies deteriorates with increasing sample size. We propose a framework called LEAP (liability estimator as a phenotype; https://github.com/omerwe/LEAP) that tests for association with estimated latent values corresponding to severity of phenotype, and we demonstrate that this can lead to a substantial power increase.Mesh:
Year: 2015 PMID: 25664543 DOI: 10.1038/nmeth.3285
Source DB: PubMed Journal: Nat Methods ISSN: 1548-7091 Impact factor: 28.547