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Efficient set tests for the genetic analysis of correlated traits

Authors

  • F.P. Casale
  • B. Rakitsch
  • C. Lippert
  • O. Stegle

Journal

  • Nature Methods

Citation

  • Nat Methods 12 (8): 755-758

Abstract

  • Set tests are a powerful approach for genome-wide association testing between groups of genetic variants and quantitative traits. We describe mtSet (http://github.com/PMBio/limix), a mixed-model approach that enables joint analysis across multiple correlated traits while accounting for population structure and relatedness. mtSet effectively combines the benefits of set tests with multi-trait modeling and is computationally efficient, enabling genetic analysis of large cohorts (up to 500,000 individuals) and multiple traits.


DOI

doi:10.1038/nmeth.3439