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Article

A novel hypothesis-generating approach for detecting phenotypic associations using epigenetic data.

Epigenomics - 1 Jan 2024

Martin Florence Z, Easey Kayleigh E, Howe Laura D, Fraser Abigail, Lawlor Deborah A, Relton Caroline L, Sharp Gemma C

Abstract excerpt

Aim: Hypotheses about what phenotypes to include in causal analyses, that in turn can have clinical and policy implications, can be guided by hypothesis-free approaches leveraging the epigenome, for example.Materials & methods: Minimally adjusted epigenome-wide association studies (EWAS) using ALSPAC data were performed for example conditions, dysmenorrhea and heavy menstrual bleeding (HMB). Differentially...

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Identifiers

PMID: 39016098
DOI: 10.1080/17501911.2024.2366157
PMCID: PMC11370959

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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