Epigenome-wide association study of mitochondrial genome copy number

Author:

Wang Penglong1,Castellani Christina A23,Yao Jie4,Huan Tianxiao1,Bielak Lawrence F5,Zhao Wei5,Haessler Jeffrey6,Joehanes Roby1,Sun Xianbang7,Guo Xiuqing4,Longchamps Ryan J2,Manson JoAnn E8,Grove Megan L9,Bressler Jan9,Taylor Kent D3,Lappalainen Tuuli1011,Kasela Silva1011,Van Den Berg David J12,Hou Lifang13,Reiner Alexander6,Liu Yongmei14,Boerwinkle Eric915,Smith Jennifer A5,Peyser Patricia A5,Fornage Myriam916,Rich Stephen S17,Rotter Jerome I4,Kooperberg Charles6,Arking Dan E2,Levy Daniel118,Liu Chunyu718,

Affiliation:

1. Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA

2. McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA

3. Department of Pathology and Laboratory Medicine, Western University, London, Ontario N6A 5C1, Canada

4. Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA

5. Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA

6. Division of Public Health Science, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA

7. Department of Biostatistics, Boston University, Boston, MA 02118, USA

8. Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA

9. Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA

10. New York Genome Center, New York, NY 10013, USA

11. Department of Systems Biology, Columbia University, New York, NY 10034, USA

12. Department of Population and Public Health Sciences, Center for Genetic Epidemiology, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA 90033, USA

13. Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA

14. Department of Medicine, Divisions of Cardiology and Neurology, Duke University Medical Center, Durham, NC 27704, USA

15. Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA

16. Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA

17. Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22903, USA

18. Framingham Heart Study, National Heart, Lung, and Blood Institute (NHLBI), Framingham, MA 01702, USA

Abstract

Abstract We conducted cohort- and race-specific epigenome-wide association analyses of mitochondrial deoxyribonucleic acid (mtDNA) copy number (mtDNA CN) measured in whole blood from participants of African and European origins in five cohorts (n = 6182, mean age = 57–67 years, 65% women). In the meta-analysis of all the participants, we discovered 21 mtDNA CN-associated DNA methylation sites (CpG) (P < 1 × 10−7), with a 0.7–3.0 standard deviation increase (3 CpGs) or decrease (18 CpGs) in mtDNA CN corresponding to a 1% increase in DNA methylation. Several significant CpGs have been reported to be associated with at least two risk factors (e.g. chronological age or smoking) for cardiovascular disease (CVD). Five genes [PR/SET domain 16, nuclear receptor subfamily 1 group H member 3 (NR1H3), DNA repair protein, DNA polymerase kappa and decaprenyl-diphosphate synthase subunit 2], which harbor nine significant CpGs, are known to be involved in mitochondrial biosynthesis and functions. For example, NR1H3 encodes a transcription factor that is differentially expressed during an adipose tissue transition. The methylation level of cg09548275 in NR1H3 was negatively associated with mtDNA CN (effect size = −1.71, P = 4 × 10−8) and was positively associated with the NR1H3 expression level (effect size = 0.43, P = 0.0003), which indicates that the methylation level in NR1H3 may underlie the relationship between mtDNA CN, the NR1H3 transcription factor and energy expenditure. In summary, the study results suggest that mtDNA CN variation in whole blood is associated with DNA methylation levels in genes that are involved in a wide range of mitochondrial activities. These findings will help reveal molecular mechanisms between mtDNA CN and CVD.

Funder

IRC

TOPMed Data Coordinating Center

National Heart, Lung, and Blood Institute

Publisher

Oxford University Press (OUP)

Subject

Genetics (clinical),Genetics,Molecular Biology,General Medicine

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