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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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Dades bibliogràfiques
Publicat a:Nat Commun
Autors principals: 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.
Format: Artigo
Idioma:Inglês
Publicat: Nature Publishing Group 2016
Matèries:
Accés en línia: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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