{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Moqri M"],"funding":["U.S. Department of Health & Human Services | NIH | National Institute on Aging","U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging)"],"pagination":["725"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12820199"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["17(1)"],"pubmed_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 en"],"journal":["Nature communications"],"pubmed_title":["Integrative epigenetics and transcriptomics identify aging genes in human blood."],"pmcid":["PMC12820199"],"funding_grant_id":["AG047200"],"pubmed_authors":["Chen Q","Eames A","Lasky-Su JA","Moqri M","Matei-Dediu B","Gladyshev VN","Mur J","McCartney DL","Mitchell W","Ying K","Goeminne L","Emamifar M","Salas LA","Glubokov D","Poganik JR","Marioni RE","Tyshkovskiy A","Snyder MP","Herzog C"],"additional_accession":[]},"is_claimable":false,"name":"Integrative epigenetics and transcriptomics identify aging genes in human blood.","description":"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 en","dates":{"release":"2026-01-01T00:00:00Z","publication":"2026 Jan","modification":"2026-06-06T18:13:07.097Z","creation":"2026-06-04T03:12:10.399Z"},"accession":"S-EPMC12820199","cross_references":{"pubmed":["41554691"],"doi":["10.1038/s41467-025-67369-1"]}}