<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Matias-Garcia PR</submitter><funding>National Institute of Environmental Health Sciences</funding><funding>Bundesministerium für Bildung und Forschung</funding><funding>Jackson State University</funding><funding>NCATS NIH HHS</funding><funding>NIA NIH HHS</funding><funding>NIEHS NIH HHS</funding><funding>NHLBI NIH HHS</funding><funding>Ludwig-Maximilians-Universität München</funding><funding>National Institute on Minority Health and Health Disparities</funding><funding>Bundesministerium für Familie, Senioren, Frauen und Jugend</funding><funding>Cooperative Studies Program/Epidemiology Research and Information Center of the U.S. Department of Veterans Affairs</funding><funding>Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg</funding><funding>NIDDK NIH HHS</funding><funding>University of Mississippi Medical Center</funding><funding>Tougaloo College</funding><funding>Foundation for the National Institutes of Health</funding><funding>NIMHD NIH HHS</funding><funding>National Heart, Lung, and Blood Institute, National Institutes of Health, U.S. Department of Health and Human Services</funding><funding>Michigan Department of Mental Health</funding><funding>National Center for Advancing Translational Sciences, National Institutes of Health</funding><funding>Helmholtz Zentrum München</funding><pagination>121</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8170969</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>13(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>The difference between an individual's chronological and DNA methylation predicted age (DNAmAge), termed DNAmAge acceleration (DNAmAA), can capture life-long environmental exposures and age-related physiological changes reflected in methylation status. Several studies have linked DNAmAA to morbidity and mortality, yet its relationship with kidney function has not been assessed. We evaluated the associations between seven DNAm aging and lifespan predictors (as well as GrimAge components) and five kidney traits (estimated glomerular filtration rate [eGFR], urine albumin-to-creatinine ratio [uACR], serum urate, microalbuminuria and chronic kidney disease [CKD]) in up to 9688 European, African American and Hispanic/Latino individuals from seven population-based studies.&lt;h4>R</pubmed_abstract><journal>Clinical epigenetics</journal><pubmed_title>DNAm-based signatures of accelerated aging and mortality in blood are associated with low renal function.</pubmed_title><pmcid>PMC8170969</pmcid><funding_grant_id>R01 ES025225</funding_grant_id><funding_grant_id>R21-HL140385</funding_grant_id><funding_grant_id>60442456 BAA23</funding_grant_id><funding_grant_id>HHSN268201800014C</funding_grant_id><funding_grant_id>HHSN268201800012C</funding_grant_id><funding_grant_id>HHSN268201800012I</funding_grant_id><funding_grant_id>HHSN268201800014I</funding_grant_id><funding_grant_id>HHSN268201600003C</funding_grant_id><funding_grant_id>HHSN268201800010I</funding_grant_id><funding_grant_id>R01- MD012765</funding_grant_id><funding_grant_id>HHSN268201600001C</funding_grant_id><funding_grant_id>R01ES025225</funding_grant_id><funding_grant_id>P30ES009089</funding_grant_id><funding_grant_id>R01 DK117445</funding_grant_id><funding_grant_id>R01-ES020836</funding_grant_id><funding_grant_id>T32 HL129982</funding_grant_id><funding_grant_id>P30ES009089, R01ES027747</funding_grant_id><funding_grant_id>R01 MD012765</funding_grant_id><funding_grant_id>HHSN268201800015I</funding_grant_id><funding_grant_id>R01 ES020836</funding_grant_id><funding_grant_id>R01-DK117445</funding_grant_id><funding_grant_id>HHSN268201800011I</funding_grant_id><funding_grant_id>HHSN268201800013I</funding_grant_id><funding_grant_id>HHSN268201600002C</funding_grant_id><funding_grant_id>KL2TR002490</funding_grant_id><funding_grant_id>KL2 TR002490</funding_grant_id><funding_grant_id>R21 HL140385</funding_grant_id><funding_grant_id>HHSN268201600018C</funding_grant_id><funding_grant_id>P30 ES009089</funding_grant_id><funding_grant_id>HHSN268201600004C</funding_grant_id><funding_grant_id>R01 ES027747</funding_grant_id><funding_grant_id>U01 AG060908</funding_grant_id><funding_grant_id>R01ES021733</funding_grant_id><pubmed_authors>Wilson R</pubmed_authors><pubmed_authors>Young B</pubmed_authors><pubmed_authors>Peters A</pubmed_authors><pubmed_authors>Shen J</pubmed_authors><pubmed_authors>Winkelmann J</pubmed_authors><pubmed_authors>Waldenberger M</pubmed_authors><pubmed_authors>Coull B</pubmed_authors><pubmed_authors>Ward-Caviness CK</pubmed_authors><pubmed_authors>Correa A</pubmed_authors><pubmed_authors>Lin X</pubmed_authors><pubmed_authors>Baccarelli AA</pubmed_authors><pubmed_authors>Just AC</pubmed_authors><pubmed_authors>Liu S</pubmed_authors><pubmed_authors>Eaton C</pubmed_authors><pubmed_authors>Whitsel EA</pubmed_authors><pubmed_authors>Nano J</pubmed_authors><pubmed_authors>Lange L</pubmed_authors><pubmed_authors>Matias-Garcia PR</pubmed_authors><pubmed_authors>Lange E</pubmed_authors><pubmed_authors>Zheng Y</pubmed_authors><pubmed_authors>Gieger C</pubmed_authors><pubmed_authors>Kunze S</pubmed_authors><pubmed_authors>Raffield LM</pubmed_authors><pubmed_authors>Reiner A</pubmed_authors><pubmed_authors>Koenig W</pubmed_authors><pubmed_authors>Colicino E</pubmed_authors><pubmed_authors>Schwartz J</pubmed_authors><pubmed_authors>Franceschini N</pubmed_authors><pubmed_authors>Horvath S</pubmed_authors><pubmed_authors>Lu A</pubmed_authors><pubmed_authors>Hou L</pubmed_authors><pubmed_authors>Vokonas P</pubmed_authors><pubmed_authors>Adamski J</pubmed_authors><pubmed_authors>Zhang Y</pubmed_authors><pubmed_authors>Nwanaji-Enwerem JC</pubmed_authors><pubmed_authors>Schottker B</pubmed_authors><pubmed_authors>Bostom A</pubmed_authors><pubmed_authors>Brenner H</pubmed_authors><pubmed_authors>Gao X</pubmed_authors></additional><is_claimable>false</is_claimable><name>DNAm-based signatures of accelerated aging and mortality in blood are associated with low renal function.</name><description>&lt;h4>Background&lt;/h4>The difference between an individual's chronological and DNA methylation predicted age (DNAmAge), termed DNAmAge acceleration (DNAmAA), can capture life-long environmental exposures and age-related physiological changes reflected in methylation status. Several studies have linked DNAmAA to morbidity and mortality, yet its relationship with kidney function has not been assessed. We evaluated the associations between seven DNAm aging and lifespan predictors (as well as GrimAge components) and five kidney traits (estimated glomerular filtration rate [eGFR], urine albumin-to-creatinine ratio [uACR], serum urate, microalbuminuria and chronic kidney disease [CKD]) in up to 9688 European, African American and Hispanic/Latino individuals from seven population-based studies.&lt;h4>R</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Jun</publication><modification>2026-05-07T22:55:36.516Z</modification><creation>2022-02-10T13:31:43.12Z</creation></dates><accession>S-EPMC8170969</accession><cross_references><pubmed>34078457</pubmed><doi>10.1186/s13148-021-01082-w</doi></cross_references></HashMap>