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Article

Leveraging correlations between variants in polygenic risk scores to detect heterogeneity in GWAS cohorts.

PLoS genetics - 1 Sept 2020

Yuan Jie, Xing Henry, Lamy Alexandre Louis, Lencz Todd, Pe'er Itsik

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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Identifiers

PMID: 32956347
DOI: 10.1371/journal.pgen.1009015
PMCID: PMC7529195

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PGC

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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