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Article

Biological knowledge-driven analysis of epistasis in human GWAS with application to lipid traits.

Methods in molecular biology (Clifton, N.J.) - 1 Jan 2015

Ma Li, Keinan Alon, Clark Andrew G

Abstract excerpt

While the importance of epistasis is well established, specific gene-gene interactions have rarely been identified in human genome-wide association studies (GWAS), mainly due to low power associated with such interaction tests. In this chapter, we integrate biological knowledge and human GWAS data to reveal epistatic interactions underlying quantitative lipid traits, which are major risk factors for coronary...

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Share to Cholesterol, HDL
Share to Cohort Studies
Share to Epistasis, Genetic

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Loci

Share to Genome-Wide Association Study

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Share to Quantitative Trait, Heritable

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Source

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Identifiers

PMID: 25403526
DOI: 10.1007/978-1-4939-2155-3_3
PMCID: PMC4930274

Genes

LIPC
HMGCR

Provenance

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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