MDC Lab Coats

Accurate liability estimation improves power in ascertained case-control studies

Authors

  • O. Weissbrod
  • C. Lippert
  • D. Geiger
  • D. Heckerman

Journal

  • Nature Methods

Citation

  • Nat Methods 12 (4): 332-334

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.


DOI

doi:10.1038/nmeth.3285