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Nat Methods. 2015 Aug;12(8):755-8. doi: 10.1038/nmeth.3439. Epub 2015 Jun 15.

Efficient set tests for the genetic analysis of correlated traits.

Author information

1
European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
2
1] Microsoft Research, Los Angeles, California, USA. [2] Human Longevity, Inc., Mountain View, California, USA.

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.

PMID:
26076425
DOI:
10.1038/nmeth.3439
[Indexed for MEDLINE]

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