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Article

Predicting cell types and genetic variations contributing to disease by combining GWAS and epigenetic data.

PloS one - 1 Jan 2013

Gerasimova Anna, Chavez Lukas, Li Bin, Seumois Gregory, Greenbaum Jason, Rao Anjana, Vijayanand Pandurangan, Peters Bjoern

Abstract excerpt

Genome-wide association studies (GWASs) identify single nucleotide polymorphisms (SNPs) that are enriched in individuals suffering from a given disease. Most disease-associated SNPs fall into non-coding regions, so that it is not straightforward to infer phenotype or function; moreover, many SNPs are in tight genetic linkage, so that a SNP identified as associated with a particular disease may not itself be...

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Share to Enhancer Elements, Genetic

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Share to Genome, Human

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Share to Promoter Regions, Genetic

Share to Regulatory Sequences, Nucleic Acid

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Identifiers

PMID: 23382893
DOI: 10.1371/journal.pone.0054359
PMCID: PMC3559682

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

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