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Article

GPA: a statistical approach to prioritizing GWAS results by integrating pleiotropy and annotation.

PLoS genetics - 1 Nov 2014

Chung Dongjun, Yang Can, Li Cong, Gelernter Joel, Zhao Hongyu

Abstract excerpt

Results from Genome-Wide Association Studies (GWAS) have shown that complex diseases are often affected by many genetic variants with small or moderate effects. Identifications of these risk variants remain a very challenging problem. There is a need to develop more powerful statistical methods to leverage available information to improve upon traditional approaches that focus on a single GWAS dataset without...

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Share to Databases, Genetic
Share to Genetic Diseases, Inborn
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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 25393678
DOI: 10.1371/journal.pgen.1004787
PMCID: PMC4230845

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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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