Novel age-associated DNA methylation changes and epigenetic age acceleration in middle-aged African Americans and whites

被引:66
作者
Tajuddin, Salman M. [1 ]
Hernandez, Dena G. [2 ]
Chen, Brian H. [3 ]
Noren Hooten, Nicole [1 ]
Mode, Nicolle A. [1 ]
Nalls, Mike A. [2 ,4 ]
Singleton, Andrew B. [2 ]
Ejiogu, Ngozi [1 ]
Chitrala, Kumaraswamy Naidu [1 ]
Zonderman, Alan B. [1 ]
Evans, Michele K. [1 ]
机构
[1] NIA, Lab Epidemiol & Populat Sci, NIH, Biomed Res Ctr, 251 Bayview Blvd Suite 100 Room 4C-222, Baltimore, MD 21224 USA
[2] NIA, Lab Neurogenet, Bethesda, MD 20892 USA
[3] NIA, Translat Gerontol Branch, Baltimore, MD 21224 USA
[4] Data Tecn Int LLC, Glen Echo, MD USA
基金
美国国家卫生研究院;
关键词
DNA methylation; Epigenetics; Epigenetic clock; Biological age; Aging; Health disparities; Race; European ancestry; African Americans; Epigenome-wide association study; SOCIOECONOMIC-STATUS; CHRONOLOGICAL AGE; BIOLOGICAL AGE; CPG SITES; WIDE; HEALTH; MICROARRAY; CLOCK; BLOOD; RACE;
D O I
10.1186/s13148-019-0722-1
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background African Americans (AAs) experience premature chronic health outcomes and longevity disparities consistent with an accelerated aging phenotype. DNA methylation (DNAm) levels at specific CpG positions are hallmarks of aging evidenced by the presence of age-associated differentially methylated CpG positions (aDMPs) that are the basis for the epigenetic clock for measuring biological age acceleration. Since DNAm has not been widely studied among non-European populations, we examined the association between DNAm and chronological age in AAs and whites, and the association between race, poverty, sex, and epigenetic age acceleration. Results We measured genome-wide DNA methylation (866,836 CpGs) using the Illumina MethylationEPIC BeadChip in blood DNA extracted from 487 middle-aged AA (N = 244) and white (N = 243), men (N = 248), and women (N = 239). The mean (sd) age was 48.4 (8.8) in AA and 49.0 (8.7) in whites (p = 0.48). We identified 4930 significantly associated aDMPs in AAs and 469 in whites. Of these, 75.6% and 53.1% were novel, largely driven by the increased number of measured CpGs in the EPIC array, in AA and whites, respectively. AAs had more age-associated DNAm changes than whites in genes implicated in age-related diseases and cellular pathways involved in growth and development. We assessed three epigenetic age acceleration measures (universal, intrinsic, and extrinsic). AAs had a significantly slower extrinsic aging compared to whites. Furthermore, compared to AA women, both AA and white men had faster aging in the universal age acceleration measure (+ 2.04 and + 1.24 years, respectively, p < 0.05). Conclusions AAs have more wide-spread methylation changes than whites. Race and sex interact to underlie biological age acceleration suggesting altered DNA methylation patterns may be important in age-associated health disparities.
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页数:16
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共 63 条
  • [1] Accounting for Population Stratification in DNA Methylation Studies
    Barfield, Richard T.
    Almli, Lynn M.
    Kilaru, Varun
    Smith, Alicia K.
    Mercer, Kristina B.
    Duncan, Richard
    Klengel, Torsten
    Mehta, Divya
    Binder, Elisabeth B.
    Epstein, Michael P.
    Ressler, Kerry J.
    Conneely, Karen N.
    [J]. GENETIC EPIDEMIOLOGY, 2014, 38 (03) : 231 - 241
  • [2] Novel regional age-associated DNA methylation changes within human common disease-associated loci
    Bell, Christopher G.
    Xia, Yudong
    Yuan, Wei
    Gao, Fei
    Ward, Kirsten
    Roos, Leonie
    Mangino, Massimo
    Hysi, Pirro G.
    Bell, Jordana
    Wang, Jun
    Spector, Timothy D.
    [J]. GENOME BIOLOGY, 2016, 17
  • [3] Epigenome-Wide Scans Identify Differentially Methylated Regions for Age and Age-Related Phenotypes in a Healthy Ageing Population
    Bell, Jordana T.
    Tsai, Pei-Chien
    Yang, Tsun-Po
    Pidsley, Ruth
    Nisbet, James
    Glass, Daniel
    Mangino, Massimo
    Zhai, Guangju
    Zhang, Feng
    Valdes, Ana
    Shin, So-Youn
    Dempster, Emma L.
    Murray, Robin M.
    Grundberg, Elin
    Hedman, Asa K.
    Nica, Alexandra
    Small, Kerrin S.
    Dermitzakis, Emmanouil T.
    McCarthy, Mark I.
    Mill, Jonathan
    Spector, Tim D.
    Deloukas, Panos
    [J]. PLOS GENETICS, 2012, 8 (04): : 189 - 200
  • [4] Troubling Trends in Health Disparities
    Bilal, Usama
    Diez-Roux, Ana V.
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2018, 378 (16) : 1557 - 1558
  • [5] Breton CV, 2017, ENVIRON HEALTH PERSP, V125, P511, DOI [10.1289/EHP595, 10.1289/ehp595]
  • [6] DNA methylation-based measures of biological age: meta-analysis predicting time to death
    Chen, Brian H.
    Marioni, Riccardo E.
    Colicino, Elena
    Peters, Marjolein J.
    Ward-Caviness, Cavin K.
    Tsai, Pei-Chien
    Roetker, Nicholas S.
    Just, Allan C.
    Demerath, Ellen W.
    Guan, Weihua
    Bressler, Jan
    Fornage, Myriam
    Studenski, Stephanie
    Vandiver, Amy R.
    Moore, Ann Zenobia
    Tanaka, Toshiko
    Kiel, Douglas P.
    Liang, Liming
    Vokonas, Pantel
    Schwartz, Joel
    Lunetta, Kathryn L.
    Murabito, Joanne M.
    Bandinelli, Stefania
    Hernandez, Dena G.
    Melzer, David
    Nalls, Michael
    Pilling, Luke C.
    Price, Timothy R.
    Singleton, Andrew B.
    Gieger, Christian
    Holle, Rolf
    Kretschmer, Anja
    Kronenberg, Florian
    Kunze, Sonja
    Linseisen, Jakob
    Meisinger, Christine
    Rathmann, Wolfgang
    Waldenberger, Melanie
    Visscher, Peter M.
    Shah, Sonia
    Wray, Naomi R.
    McRae, Allan F.
    Franco, Oscar H.
    Hofman, Albert
    Uitterlinden, Andre G.
    Absher, Devin
    Assimes, Themistocles
    Levine, Morgan E.
    Lu, Ake T.
    Tsao, Philip S.
    [J]. AGING-US, 2016, 8 (09): : 1844 - 1865
  • [7] Differential DNA methylation with age displays both common and dynamic features across human tissues that are influenced by CpG landscape
    Day, Kenneth
    Waite, Lindsay L.
    Thalacker-Mercer, Anna
    West, Andrew
    Bamman, Marcas M.
    Brooks, James D.
    Myers, Richard M.
    Absher, Devin
    [J]. GENOME BIOLOGY, 2013, 14 (09):
  • [8] Genome-wide association study identifies novel genetic variants contributing to variation in blood metabolite levels
    Draisma, Harmen H. M.
    Pool, Rene
    Kobl, Michael
    Jansen, Rick
    Petersen, Ann-Kristin
    Vaarhorst, Anika A. M.
    Yet, Idil
    Haller, Toomas
    Demirkan, Ayse
    Esko, Tonu
    Zhu, Gu
    Boehringer, Stefan
    Beekman, Marian
    van Klinken, Jan Bert
    Roemisch-Margl, Werner
    Prehn, Cornelia
    Adamski, Jerzy
    de Craen, Anton J. M.
    van Leeuwen, Elisabeth M.
    Amin, Najaf
    Dharuri, Harish
    Westra, Harm-Jan
    Franke, Lude
    de Geus, Eco J. C.
    Hottenga, Jouke Jan
    Willemsen, Gonneke
    Henders, Anjali K.
    Montgomery, Grant W.
    Nyholt, Dale R.
    Whitfield, John B.
    Penninx, Brenda W.
    Spector, Tim D.
    Metspalu, Andres
    Slagboom, P. Eline
    van Dijk, Ko Willems
    't Hoen, Peter A. C.
    Strauch, Konstantin
    Martin, Nicholas G.
    van Ommen, Gert-Jan B.
    Illig, Thomas
    Bell, Jordana T.
    Mangino, Massimo
    Suhre, Karsten
    McCarthy, Mark I.
    Gieger, Christian
    Isaacs, Aaron
    van Duijn, Cornelia M.
    Boomsma, Dorret I.
    [J]. NATURE COMMUNICATIONS, 2015, 6
  • [9] Comparison of Beta-value and M-value methods for quantifying methylation levels by microarray analysis
    Du, Pan
    Zhang, Xiao
    Huang, Chiang-Ching
    Jafari, Nadereh
    Kibbe, Warren A.
    Hou, Lifang
    Lin, Simon M.
    [J]. BMC BIOINFORMATICS, 2010, 11
  • [10] DNA methylation-based biological aging and cancer risk and survival: Pooled analysis of seven prospective studies
    Dugue, Pierre-Antoine
    Bassett, Julie K.
    Joo, JiHoon E.
    Jung, Chol-Hee
    Wong, Ee Ming
    Moreno-Betancur, Margarita
    Schmidt, Daniel
    Makalic, Enes
    Li, Shuai
    Severi, Gianluca
    Hodge, Allison M.
    Buchanan, Daniel D.
    English, Dallas R.
    Hopper, John L.
    Southey, Melissa C.
    Giles, Graham G.
    Milne, Roger L.
    [J]. INTERNATIONAL JOURNAL OF CANCER, 2018, 142 (08) : 1611 - 1619