Article

Leveraging correlations between polygenic risk score predictors to detect heterogeneity in GWAS cohorts

2019-11-01

Abstract excerpt

Evidence from both GWAS and clinical observation has suggested that certain psychiatric, metabolic, and autoimmune diseases are heterogeneous, comprising multiple subtypes with distinct genomic etiologies and Polygenic Risk Scores (PRS). However, the presence of subtypes within many phenotypes is frequently unknown. We present CLiP (Correlated Liability Predictors), a method to detect heterogeneity in single GWAS...

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Literature Corpus work: 57ba312b-5f39-59ea-a076-0506258203b1
DOI: 10.1101/827162

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