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Article

GWAS quality score for evaluating associated regions in GWAS analyses.

Bioinformatics (Oxford, England) - 1 Jan 2023

Awasthi Swapnil, Chen Chia-Yen, Lam Max, Huang Hailiang, Ripke Stephan, Altar C Anthony

Abstract excerpt

MOTIVATION: The number of significantly associated regions reported in genome-wide association studies (GWAS) for polygenic traits typically increases with sample size. A traditional tool for quality control and identification of significant regions has been a visual inspection of how significant and correlated genetic variants cluster within a region. However, while inspecting hundreds of regions, this...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 36651666
DOI: 10.1093/bioinformatics/btad004
PMCID: PMC9891241

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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