ArticleNature aging2026
OMICmAge quantifies biological age by integrating multi-omics with electronic medical records.
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In one paragraph
Article in Nature aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12citing papers in PubMed
–field-weighted citation impact
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- Semaglutide slows epigenetic aging in a randomized trial of HIV-associated lipohypertrophy.Nature communications · 2026Trial
- Responsiveness of epigenetic aging biomarkers to longevity interventions in humans.Nature medicine · 2026Article
- Development of a Model for Predicting Chronological Age Based on DNA Methylation Data from Buccal Swabs Using Ion Torrent S5 Technology.International journal of molecular sciences · 2026Article
- CpG Atlas: A centralized multi-layer database and AI interface for DNA methylation research.bioRxiv : the preprint server for biology · 2026Article
- Article
- The Evolving Landscape of Clinical Aging Clocks: From Epigenetic to Multi-Omics Integration.Aging cell · 2026Review
- Towards a context-aware framework for cellular senescence.Biogerontology · 2026Review
- Proteomic aging clocks in epidemiological studies: advances, applications and prospects.Nature aging · 2026Review
- Large-scale antibody reactome profiling identifies herpesvirus-autoantigen associations underlying chronic diseases.Research square · 2026Article
- DeepStrataAge: an interpretable deep-learning clock that reveals stage- and sex-divergent DNA methylation aging dynamics.npj aging · 2026Article
- Dietary pattern modifies associations between dietary factors and pace of epigenetic aging.Frontiers in nutrition · 2026Article
- Turning back time: a comprehensive list of interventions that decrease next-generation epigenetic aging clocks in humans.Frontiers in genetics · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
33 authors.
Qingwen Chen *Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-2946-4947
Varun B Dwaraka *TruDiagnostic, Lexington, KY, USA.
Natàlia Carreras-GalloTruDiagnostic, Lexington, KY, USA.
Jenel F ArmstrongProgram in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.
Raghav SehgalDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-9387-1758
M Austin ArgentieriAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0003-0242-853X
Anne RichmondInstitute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-9504-510X
Andrea AparicioChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Kevin MendezChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-8832-2607
Yulu ChenChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Sofina BegumChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Priyadarshini KachrooChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Nicole PrinceChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-8506-1122
Tao GuoChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0009-0005-8960-9203
Hannah WentTruDiagnostic, Lexington, KY, USA.
Tavis MendezTruDiagnostic, Lexington, KY, USA.
Aaron LinTruDiagnostic, Lexington, KY, USA.
Logan TurnerTruDiagnostic, Lexington, KY, USA.
Mahdi MoqriDivision of Genetics, Department of Medicine, Brigham and Women's HospitalHarvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0001-6675-0566
Su H ChuChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Rachel S KellyChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0003-3023-1822
Scott T WeissChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Nicholas J W RattrayStrathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, UK.ORCID http://orcid.org/0000-0002-3528-6905
Vadim N GladyshevDivision of Genetics, Department of Medicine, Brigham and Women's HospitalHarvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-0372-7016
Elizabeth KarlsonDepartment of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Craig E WheelockUnit of Integrative Metabolomics, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-8113-0653
Ewy A MathéDivision of Preclinical Innovation, National Center for Advancing Translational Science, National Institutes of Health, Rockville, MD, USA.
Amber DahlinChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Michael J McGeachieChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0001-5566-2712
Riccardo E MarioniInstitute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0003-4430-4260
Albert T Higgins-ChenProgram in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.ORCID http://orcid.org/0000-0003-2904-2741
Ryan SmithTruDiagnostic, Lexington, KY, USA.ORCID http://orcid.org/0000-0001-7362-8753
Jessica Lasky-SuChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA. rejas@channing.harvard.edu.ORCID http://orcid.org/0000-0001-6236-4705
Funding
Finding Genomic Profiles of COVID-19 Phenotypes from the EHRU01HG008685 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIZABETH W KARLSON, Matthew S Lebo · 2015 to 2026
$13.6MIntegrative Metabolomics of Asthma SeverityR01HL123915 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LASKY-SU, JESSICA A · 2014 to 2023
$7.0MAsthma Exacerbations and MicroRNA prediction: Treatment Response in an Underserved Ethnicity (AEM-TRUE)R01HL139634 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI MCGEACHIE, MICHAEL JOHN · 2018 to 2022
$4.3MQUANTITATIVE ASSESSMENT OF BIOLOGICAL AGE AND ITS APPLICATIONSR01AG065403 · NIA · YALE UNIVERSITY · PI Vadim N. Gladyshev, Albert Tzongyang Higgins-Chen · 2020 to 2026
$4.2MOmic Determinants of Longitudinal Lung Function in AsthmaR01HL155742 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LASKY-SU, JESSICA A, MCGEACHIE, MICHAEL JOHN · 2021 to 2025
$3.9MBetter utilization of omics data to inform precision medicine for asthma throughout the life courseR01HL169300 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI JESSICA A LASKY-SU · 2024 to 2026
$2.3MMulti-Omic Endotyping of AsthmaK01HL146980 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI KELLY, RACHEL SABINE · 2019 to 2023
$891kIntegrative metabolomic characterization of ADHD and asthma comorbidityK01HL153941 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI CHU, SU HEE · 2020 to 2024
$891kMethylomic and metabolomic determinants of Lung Function in AsthmaticsR00HL159234 · NHLBI · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI Priyadarshini Kachroo · 2024 to 2026
$840kRole of microRNA molecules in therapeutic response to leukotriene modifying agents in asthmaK01HL130629 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI DAHLIN, AMBER · 2016 to 2020
$818kMethylomic and metabolomic determinants of Lung Function in AsthmaticsK99HL159234 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI KACHROO, PRIYADARSHINI · 2022 to 2023
$346kCharacterizing Biological Aging for Heart and Lung Diseases Using Multi-omics AgeotypesK01HL179256 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI CHEN, YULU · 2025 to 2025
$177kForskningsrådet om Hälsa, Arbetsliv och Välfärd (Swedish Research Council for Health, Working Life and Welfare) 2016-02798Hjärt-Lungfonden (Swedish Heart-Lung Foundation) HLF 20200693NHLBI NIH HHS K01 HL153941NHLBI NIH HHS K01 HL179256NHLBI NIH HHS K99 HL159234NHLBI NIH HHS R00 HL159234Scottish Funding Council (SFC) HR03006U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) 1K01HL175261U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) 1R01HL152244U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) K01HL130629U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) K01HL146980U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) K01HL153941U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) K99HL159234U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01HL123915U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01HL139634U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01HL155742U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01HL169300U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) U01HG008685U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) AG064223U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) AG065403U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R01AG065403Wellcome Trust (Wellcome) 104036/Z/14/ZWellcome Trust (Wellcome) 220857/Z/20/Z
Abstract
Biological aging reflects complex cellular and biochemical processes that can be measured across multiple omic layers. Using routine clinical laboratory data from ~31,000 participants in the Mass General Brigham Biobank, we developed EMRAge, a biomarker of mortality risk that can be broadly recapitulated across electronic medical records. Here we show that EMRAge can be modeled using elastic net regression with DNA methylation and multi-omics to generate DNAmEMRAge and OMICmAge, respectively. Both biomarkers are strongly associated with incident and prevalent chronic diseases and mortality, performing comparably or better than current biomarkers across discovery (Massachusetts General Brigham Aging Biobank Cohort, n = 3,451) and validation cohorts (TruDiagnostic, n = 14,213; Generation Scotland, n = 18,672). Importantly, OMICmAge leverages epigenetic biomarker proxies to integrate proteomic, metabolomic and clinical domains while remaining quantifiable from DNA methylation alone. This framework establishes an accessible, scalable measure of biological aging with potential to reveal molecular interconnections that shape healthspan and disease risk.
Indexed as
AgingElectronic Health RecordsMultiomicsAgedBiomarkersDNA MethylationFemaleHumansMetabolomicsProteomicsBiomarkers
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.