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Efficient Bayesian mixed-model analysis increases association power in large cohorts
- Loh, Po-Ru;
- Tucker, George;
- Bulik-Sullivan, Brendan K;
- Vilhjálmsson, Bjarni J;
- Finucane, Hilary K;
- Salem, Rany M;
- Chasman, Daniel I;
- Ridker, Paul M;
- Neale, Benjamin M;
- Berger, Bonnie;
- Patterson, Nick;
- Price, Alkes L
Published Web Location
https://doi.org/10.1038/ng.3190Abstract
Alkes Price, Po-Ru Loh and colleagues report the BOLT-LMM method for mixed-model association. They apply their method to 9 quantitative traits in 23,294 samples and demonstrate that it provides improvements in computational efficiency as well as gains in power that increase with the size of the cohort, making it useful for the analysis of large cohorts.
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