Research Paper Volume 11, Issue 16 pp 5876—5894

Epigenome-wide association study of leukocyte telomere length

Yunsung Lee 1, #, , Dianjianyi Sun 2, 3, #, , Anil P.S. Ori 4, , Ake T. Lu 5, , Anne Seeboth 6, , Sarah E. Harris 7, 8, , Ian J. Deary 7, 8, , Riccardo E. Marioni 6, 7, , Mette Soerensen 9, 10, 11, , Jonas Mengel-From 9, 10, , Jacob Hjelmborg 9, , Kaare Christensen 9, 10, , James G. Wilson 12, 13, , Daniel Levy 14, 15, , Alex P. Reiner 16, , Wei Chen 3, , Shengxu Li 17, , Jennifer R. Harris 1, 18, , Per Magnus 18, , Abraham Aviv 19, *, , Astanand Jugessur 1, 18, 20, *, , Steve Horvath 5, 20, *, ,

  • 1 Department of Genetics and Bioinformatics, Norwegian Institute of Public Health, Oslo, Norway
  • 2 Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
  • 3 Department of Epidemiology, Tulane University, New Orleans, LA 70118, USA
  • 4 Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA 90095, USA
  • 5 Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
  • 6 Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
  • 7 Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
  • 8 Department of Psychology, University of Edinburgh, Edinburgh, UK
  • 9 Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense C, Denmark
  • 10 Department of Clinical Genetics, Odense University Hospital, Odense C, Denmark
  • 11 Center for Individualized Medicine in Arterial Diseases, Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense C, Denmark
  • 12 Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS 39216, USA
  • 13 Department of Cardiology, Beth Israel Deaconess Medical Center, Boston, MA 20892, USA
  • 14 The Framingham Heart Study, Framingham, MA 01702, USA
  • 15 Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Seattle, MD 20892, USA
  • 16 Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
  • 17 Children’s Minnesota Research Institute, Children’s Hospitals and Clinics of Minnesota, Minneapolis, MN 55404, USA
  • 18 Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
  • 19 Center of Development and Aging, New Jersey Medical School, Rutgers State University of New Jersey, Newark, NJ 07103, USA
  • 20 Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
  • 21 Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA 90095, USA
# Co-first authors
* Co-last authors

received: June 3, 2019 ; accepted: August 18, 2019 ; published: August 26, 2019 ;

https://doi.org/10.18632/aging.102230
How to Cite

Copyright © 2019 Lee et al. This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 3.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Telomere length is associated with age-related diseases and is highly heritable. It is unclear, however, to what extent epigenetic modifications are associated with leukocyte telomere length (LTL). In this study, we conducted a large-scale epigenome-wide association study (EWAS) of LTL using seven large cohorts (n=5,713) – the Framingham Heart Study, the Jackson Heart Study, the Women’s Health Initiative, the Bogalusa Heart Study, the Lothian Birth Cohorts of 1921 and 1936, and the Longitudinal Study of Aging Danish Twins. Our stratified analysis suggests that EWAS findings for women of African ancestry may be distinct from those of three other groups: males of African ancestry, and males and females of European ancestry. Using a meta-analysis framework, we identified DNA methylation (DNAm) levels at 823 CpG sites to be significantly associated (P<1E-7) with LTL after adjusting for age, sex, ethnicity, and imputed white blood cell counts. Functional enrichment analyses revealed that these CpG sites are near genes that play a role in circadian rhythm, blood coagulation, and wound healing. Weighted correlation network analysis identified four co-methylation modules associated with LTL, age, and blood cell counts. Overall, this study reveals highly significant relationships between two hallmarks of aging: telomere biology and epigenetic changes.

Abbreviations

LTL: leukocyte telomere length; TL: telomere length; DNAm: DNA methylation; TRF: terminal restriction fragment; qPCR: quantitative real-time polymerase chain reaction; GWAS: Genome-wide association study; EWAS: epigenome-wide association study; FHS: the Framingham Heart Study; JHS: the Jackson Heart Study; WHI: the Women’s Health Initiative; BHS: the Bogalusa Heart Study; LBC: the Lothian Birth Cohorts; LSADT: the Longitudinal Study of Aging Danish Twins; DMP: differentially methylated probe; SNP: single-nucleotide polymorphism; SMR: summary-data-based Mendelian randomization; HEIDI: heterogeneity in independence instruments; mQTL: methylation quantitative trait locus; WGCNA: Weighted correlation network analysis; DC: dyskeratosis congenita; qPCR: quantitative real-time polymerase chain reaction; GREAT: Genomic Regions Enrichment of Annotations Tools.