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Article

A method to predict the impact of regulatory variants from DNA sequence.

Nature genetics - 1 Aug 2015

Lee Dongwon, Gorkin David U, Baker Maggie, Strober Benjamin J, Asoni Alessandro L, McCallion Andrew S, Beer Michael A

Abstract excerpt

Most variants implicated in common human disease by genome-wide association studies (GWAS) lie in noncoding sequence intervals. Despite the suggestion that regulatory element disruption represents a common theme, identifying causal risk variants within implicated genomic regions remains a major challenge. Here we present a new sequence-based computational method to predict the effect of regulatory variation,...

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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: 26075791
DOI: 10.1038/ng.3331
PMCID: PMC4520745

Provenance

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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