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Efficient multivariate linear mixed model algorithms for genome-wide association studies

Nature Methods

Feb 18, 2014

Xiang Zhou, Matthew Stephens

Abstract

Multivariate linear mixed models (mvLMMs) are powerful tools for testing associations between single-nucleotide polymorphisms and multiple correlated phenotypes while controlling for population stratification in genome-wide association studies. We present efficient algorithms in the gen...read more

Mentioned in this Paper

Genome-Wide Association Study
Genome
Log-Linear Models
Likelihood Functions
Properdin Deficiency, X-LINKED
Computer Programs and Programming
Multivariate Analysis
Nucleotides
Bud - plant part
Gemma (invertebrate)
12
503
1
Paper Details
References
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  • Citations135
123
  • References26
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Efficient multivariate linear mixed model algorithms for genome-wide association studies

Nature Methods

Feb 18, 2014

Xiang Zhou, Matthew Stephens

PMID: 24531419

DOI: 10.1038/nmeth.2848

Abstract

Multivariate linear mixed models (mvLMMs) are powerful tools for testing associations between single-nucleotide polymorphisms and multiple correlated phenotypes while controlling for population stratification in genome-wide association studies. We present efficient algorithms in the gen...read more

Mentioned in this Paper

Genome-Wide Association Study
Genome
Log-Linear Models
Likelihood Functions
Properdin Deficiency, X-LINKED
Computer Programs and Programming
Multivariate Analysis
Nucleotides
Bud - plant part
Gemma (invertebrate)
12
503
1

Trending Feeds

Blastomycosis

Blastomycosis fungal infections spread through inhaling Blastomyces dermatitidis spores. Discover the latest research on blastomycosis fungal infections here.

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Paper Details
References
  • References26
  • Citations135
123
  • References26
  • Citations135
12345...
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