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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2014
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| Materias: | |
| 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 |