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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4848547/
https://www.ncbi.nlm.nih.gov/pubmed/27109359
http://dx.doi.org/10.1038/ncomms11433

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4848547/
https://www.ncbi.nlm.nih.gov/pubmed/27109359
http://dx.doi.org/10.1038/ncomms11433

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