title: Efficient set tests for the genetic analysis of correlated traits.
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.
authors.affiliation: European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
authors.forename: Francesco Paolo
authors.initials: FP
authors.lastname: Casale
authors.affiliation: European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
authors.forename: Barbara
authors.initials: B
authors.lastname: Rakitsch
authors.affiliation: 1] Microsoft Research, Los Angeles, California, USA. [2] Human Longevity, Inc., Mountain View, California, USA.
authors.forename: Christoph
authors.identifier: 0000000163632556
authors.initials: C
authors.lastname: Lippert
authors.affiliation: European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
authors.forename: Oliver
authors.initials: O
authors.lastname: Stegle
mesh_terms: D000465:Algorithms; D000483:Alleles; D000818:Animals; D002138:Calibration; D019295:Computational Biology / Q000379:methods*; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D005787:Gene Frequency; D014644:Genetic Variation; D055106:Genome-Wide Association Study; D006801:Humans; D020407:Internet; D007962:Leukocytes / Q000166:cytology; D015233:Models, Statistical; D010641:Phenotype; D020641:Polymorphism, Single Nucleotide; D040641:Quantitative Trait Loci; D051381:Rats; D012044:Regression Analysis; D015203:Reproducibility of Results; D012984:Software