Integrative epigenetics and transcriptomics identify aging genes in human blood

Recent epigenome-wide studies have identified a large number of genomic regions that consistently exhibit changes in their methylation status with aging across diverse populations, but the functional consequences of these changes are largely unknown. On the other hand, transcriptomic changes are more easily interpreted than epigenetic alterations, but previously identified age-related gene expression changes have shown limited replicability across populations. Here, we develop an approach that leverages high-resolution multi-omic data for an integrative analysis of epigenetic and transcriptomic age-related changes and identify genomic regions associated with both epigenetic and transcriptomic age-dependent changes in blood. Our results show that these multi-omic aging genes in blood are enriched for adaptive immune functions, replicate more robustly across diverse populations and are more strongly associated with aging-related outcomes compared to the genes identified using epigenetic or transcriptomic data alone. These multi-omic aging genes may serve as targets for epigenetic editing to facilitate cellular rejuvenation.

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Publication Details

Journal
Nature Communications
Published
2026-01-19
DOI
https://doi.org/10.1038/s41467-025-67369-1
Primary Topic
Epigenetics and DNA Methylation
Type
article
Field-Weighted Citation Impact
0.00

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article

Integrative epigenetics and transcriptomics identify aging genes in human blood

Alexander Tyshkovskiy, Chiara Herzog, Jesse R. Poganik, Wayne Mitchell et al.
Nature Communications
Epigenetics and DNA Methylation
article

Integrative epigenetics and transcriptomics identify aging genes in human blood

Alexander Tyshkovskiy, Chiara Herzog, Jesse R. Poganik, Wayne Mitchell, Ludger J.E. Goeminne, Alec Eames, Lucas A. Salas, Jure Mur, Mehrnoosh Emamifar, Kejun Ying, Benyamin Matei-Dediu, Qingwen Chen, Dmitrii Glubokov, Michael P. Snyder, Daniel L. McCartney, Mahdi Moqri, Vadim N. Gladyshev, Riccardo E. Marioni, Jessica A. Lasky-Su
article en

Abstract

Recent epigenome-wide studies have identified a large number of genomic regions that consistently exhibit changes in their methylation status with aging across diverse populations, but the functional consequences of these changes are largely unknown. On the other hand, transcriptomic changes are more easily interpreted than epigenetic alterations, but previously identified age-related gene expression changes have shown limited replicability across populations. Here, we develop an approach that leverages high-resolution multi-omic data for an integrative analysis of epigenetic and transcriptomic age-related changes and identify genomic regions associated with both epigenetic and transcriptomic age-dependent changes in blood. Our results show that these multi-omic aging genes in blood are enriched for adaptive immune functions, replicate more robustly across diverse populations and are more strongly associated with aging-related outcomes compared to the genes identified using epigenetic or transcriptomic data alone. These multi-omic aging genes may serve as targets for epigenetic editing to facilitate cellular rejuvenation.

Nature CommunicationsVol. 17(1)
Dartmouth College (US), Brigham and Women's Hospital (US), Northeastern University (US), Harvard University (US), Universität Innsbruck (AT), Edinburgh Cancer Research (GB), Hôpitaux Universitaires Henri-Mondor (FR), Stanford University (US)
Massachusetts General Hospital, Wellcome Trust, Medical Research Council, National Institute on Aging
Openalex Percentile: Top 85%
Epigenetics and DNA Methylation
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