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Identifying genetically driven clinical phenotypes using linear mixed models

We hypothesized that generalized linear mixed models (GLMMs), which estimate the additive genetic variance underlying phenotype variability, would facilitate rapid characterization of clinical phenotypes from an electronic health record. We evaluated 1,288 phenotypes in 29,349 subjects of European a...

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Detalhes bibliográficos
Publicado no:Nat Commun
Main Authors: Mosley, Jonathan D., Witte, John S., Larkin, Emma K., Bastarache, Lisa, Shaffer, Christian M., Karnes, Jason H., Stein, C. Michael, Phillips, Elizabeth, Hebbring, Scott J., Brilliant, Murray H., Mayer, John, Ye, Zhan, Roden, Dan M., Denny, Joshua C.
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group 2016
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4848547/
https://ncbi.nlm.nih.gov/pubmed/27109359
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/ncomms11433
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