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Article

Identifying genetically driven clinical phenotypes using linear mixed models.

Nature communications - 25 Apr 2016

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

Abstract excerpt

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 ancestry with single-nucleotide polymorphism (SNP) genotyping on the Illumina Exome Beadchip. We show that genetic...

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PMID: 27109359
DOI: 10.1038/ncomms11433
PMCID: PMC4848547

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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