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Article

Cascading epigenomic analysis for identifying disease genes from the regulatory landscape of GWAS variants.

PLoS genetics - 1 Nov 2021

Ng Bernard, Casazza William, Kim Nam Hee, Wang Chendi, Farhadi Farnush, Tasaki Shinya, Bennett David A, De Jager Philip L, Gaiteri Christopher, Mostafavi Sara

Abstract excerpt

The majority of genetic variants detected in genome wide association studies (GWAS) exert their effects on phenotypes through gene regulation. Motivated by this observation, we propose a multi-omic integration method that models the cascading effects of genetic variants from epigenome to transcriptome and eventually to the phenome in identifying target genes influenced by risk alleles. This cascading epigenomic...

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Identifiers

PMID: 34807913
DOI: 10.1371/journal.pgen.1009918
PMCID: PMC8648125

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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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