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Article

Network-based analysis of genome wide association data provides novel candidate genes for lipid and lipoprotein traits.

Molecular & cellular proteomics : MCP - 1 Nov 2013

Sharma Amitabh, Gulbahce Natali, Pevzner Samuel J, Menche Jörg, Ladenvall Claes, Folkersen Lasse, Eriksson Per, Orho-Melander Marju, Barabási Albert-László

Abstract excerpt

Genome wide association studies (GWAS) identify susceptibility loci for complex traits, but do not identify particular genes of interest. Integration of functional and network information may help in overcoming this limitation and identifying new susceptibility loci. Using GWAS and comorbidity data, we present a network-based approach to predict candidate genes for lipid and lipoprotein traits. We apply a...

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Identifiers

PMID: 23882023
DOI: 10.1074/mcp.M112.024851
PMCID: PMC3820950

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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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