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Covariate selection for association screening in multiphenotype genetic studies
- Aschard, Hugues;
- Guillemot, Vincent;
- Vilhjalmsson, Bjarni;
- Patel, Chirag J;
- Skurnik, David;
- Ye, Chun J;
- Wolpin, Brian;
- Kraft, Peter;
- Zaitlen, Noah
Published Web Location
https://doi.org/10.1038/ng.3975Abstract
Covariates for multiphenotype studies (CMS), a new approach for testing for associations from large-scale datasets, leverages genetic and environmental factors shared between correlated variables measured on the same samples. Applying CMS to real and simulated data demonstrates a large increase in power equivalent to that gained by doubling the sample size.
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