Efficient Algorithms for Multivariate Linear Mixed Models in Genome-wide Association Studies

Multivariate linear mixed models (mvLMMs) are powerful tools for testing SNP associations with multiple correlated phenotypes while controlling for population stratification in genome-wide association studies. We present computationally-efficient algorithms for fitting mvLMMs and computing likelihoo...

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Detalles Bibliográficos
Autores principales: Zhou, Xiang, Stephens, Matthew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4211878/
https://www.ncbi.nlm.nih.gov/pubmed/24531419
http://dx.doi.org/10.1038/nmeth.2848

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4211878/
https://www.ncbi.nlm.nih.gov/pubmed/24531419
http://dx.doi.org/10.1038/nmeth.2848

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