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Article

EWAS: epigenome-wide association study software 2.0.

Bioinformatics (Oxford, England) - 1 Aug 2018

Xu Jing, Zhao Linna, Liu Di, Hu Simeng, Song Xiuling, Li Jin, Lv Hongchao, Duan Lian, Zhang Mingming, Jiang Qinghua, Liu Guiyou, Jin Shuilin, Liao Mingzhi, Zhang Meng, Feng Rennan, Kong Fanwu, Xu Liangde, Jiang Yongshuai

Abstract excerpt

Motivation: With the development of biotechnology, DNA methylation data showed exponential growth. Epigenome-wide association study (EWAS) provide a systematic approach to uncovering epigenetic variants underlying common diseases/phenotypes. But the EWAS software has lagged behind compared with genome-wide association study (GWAS). To meet the requirements of users, we developed a convenient and useful software,...

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Identifiers

PMID: 29566144
DOI: 10.1093/bioinformatics/bty163
PMCID: PMC6061808

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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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