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Article

LD Score regression distinguishes confounding from polygenicity in genome-wide association studies.

Nature genetics - 1 Mar 2015

Bulik-Sullivan Brendan K, Loh Po-Ru, Finucane Hilary K, Ripke Stephan, Yang Jian, Patterson Nick, Daly Mark J, Price Alkes L, Neale Benjamin M

Abstract excerpt

Both polygenicity (many small genetic effects) and confounding biases, such as cryptic relatedness and population stratification, can yield an inflated distribution of test statistics in genome-wide association studies (GWAS). However, current methods cannot distinguish between inflation from a true polygenic signal and bias. We have developed an approach, LD Score regression, that quantifies the contribution of...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 25642630
DOI: 10.1038/ng.3211
PMCID: PMC4495769

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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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