Integrative multi-omic analysis identifies genetically influenced DNA methylation biomarkers for breast and prostate cancers

Anita Sathyanarayanan; Hamzeh M. Tanha; Divya Mehta; Dale R. Nyholt

doi:10.1038/s42003-022-03540-4

Communications Biology (Jun 2022)

Integrative multi-omic analysis identifies genetically influenced DNA methylation biomarkers for breast and prostate cancers

Anita Sathyanarayanan,
Hamzeh M. Tanha,
Divya Mehta,
Dale R. Nyholt

Affiliations

Anita Sathyanarayanan: Queensland University of Technology, Centre for Genomics and Personalised Health, Faculty of Health
Hamzeh M. Tanha: Queensland University of Technology, Centre for Genomics and Personalised Health, Faculty of Health
Divya Mehta: Queensland University of Technology, Centre for Genomics and Personalised Health, Faculty of Health
Dale R. Nyholt: Queensland University of Technology, Centre for Genomics and Personalised Health, Faculty of Health

DOI: https://doi.org/10.1038/s42003-022-03540-4
Journal volume & issue: Vol. 5, no. 1
pp. 1 – 15

Abstract

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Methylome-wide association studies identify genetically-influenced CpGs associated with breast and prostate cancer risk and (epi)genome-transcriptome mechanistic relationships, with lipid metabolism genes implicated as potential therapeutic targets.

Published in Communications Biology

ISSN: 2399-3642 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science: Biology (General)
Website: https://www.nature.com/commsbio/

About the journal