Efficient set tests for the genetic analysis of correlated traits.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 26076425.
- Also identified by DOI 10.1038/nmeth.3439.
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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.
Medical subject headings
- Computational Biology