Evidence map›Paper›PMID 34415308›Full record

SynthesisHuman molecular genetics2021

Epigenome-wide association study of mitochondrial genome copy number.

Penglong Wang, Christina A Castellani, Jie Yao, Tianxiao Huan, Lawrence F Bielak, Wei Zhao, Jeffrey Haessler, Roby Joehanes, Xianbang Sun, Xiuqing Guo and 22 more

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Human molecular genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

32 authors at 16 institutions in 2 countries.

Penglong WangPopulation Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Christina A CastellaniMcKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
Jie YaoDepartment 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.
Tianxiao HuanPopulation Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Lawrence F BielakDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
Wei ZhaoDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
Jeffrey HaesslerDivision of Public Health Science, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Roby JoehanesPopulation Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Xianbang SunDepartment of Biostatistics, Boston University, Boston, MA 02118, USA.
Xiuqing GuoDepartment 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.
Ryan J LongchampsMcKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
JoAnn E MansonDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Megan L GroveHuman 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.
Jan BresslerHuman 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.
Kent D TaylorDepartment of Pathology and Laboratory Medicine, Western University, London, Ontario N6A 5C1, Canada.
Tuuli LappalainenNew York Genome Center, New York, NY 10013, USA.
Silva KaselaNew York Genome Center, New York, NY 10013, USA.
David J Van Den BergDepartment 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.
Lifang HouFeinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.
Alexander ReinerDivision of Public Health Science, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Yongmei LiuDepartment of Medicine, Divisions of Cardiology and Neurology, Duke University Medical Center, Durham, NC 27704, USA.
Eric BoerwinkleHuman 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.
Jennifer A SmithDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
Patricia A PeyserDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
Myriam FornageHuman 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.
Stephen S RichCenter for Public Health Genomics, University of Virginia, Charlottesville, VA 22903, USA.
Jerome I RotterDepartment 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.
Charles KooperbergDivision of Public Health Science, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Dan E ArkingMcKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
Daniel LevyPopulation Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Chunyu LiuDepartment of Biostatistics, Boston University, Boston, MA 02118, USA.
NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium
The University of Texas Health Science Center at Houston · USUniversity of Michigan–Ann Arbor · USFred Hutch Cancer Center · USHarbor–UCLA Medical Center · USJohns Hopkins Medicine · USNational Institutes of Health · USColumbia University · USBoston University · USDuke Medical Center · USFramingham Heart Study · USHarvard University · USNational Heart Lung and Blood Institute · USNorthwestern University · USUniversity of Southern California · USUniversity of Virginia · USWestern University · CA

Funding

Framingham Project/LevyZIAHL006001 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI LEVY, DANIEL · 2009 to 2025
$51.1M
Utilizing the Phenomics of IBD to Enhance Gene DiscoveryU01DK062413 · NIDDK · CEDARS-SINAI MEDICAL CENTER · PI Dermot Patrick McGovern · 2002 to 2026
$12.2M
Studies of Rare Genetic Variation in the Isolated Population of SardiniaR01HL117626 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABECASIS, GONCALO · 2013 to 2016
$10.5M
CHARGE Consortium: Omics Discovery for CVD and Aging PhenotypesR01HL105756 · NHLBI · UNIVERSITY OF WASHINGTON · PI Bruce M Psaty, NICHOLAS L SMITH · 2011 to 2026
$9.5M
Rare variants and NHLBI traits in deeply phenotyped cohortsR01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2014 to 2016
$8.9M
Rare variants and NHLBI traits in deeply phenotyped cohortsU01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2017 to 2018
$5.6M
Mitochondrial DNA Copy Number and Genetic Variation in Coronary Heart DiseaseR01HL131573 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI ARKING, DAN E · 2016 to 2019
$3.2M
Mitochondrial DNA heteroplasmy and risk for atherosclerotic cardiovascular disease (ASCVD)R01HL144569 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI ARKING, DAN E · 2019 to 2022
$3.1M
Mitochondrial DNA, Nuclear DNA Methylation, and Cardiometabolic Disease TraitsR01HL155569 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI LIU, CHUNYU · 2021 to 2024
$2.4M
Epigenetics of Arteriosclerosis in African American Hypertensive SibshipsR01HL133221 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SMITH, JENNIFER ANN · 2016 to 2019
$2.2M
NHLBI NIH HHS HHSN268201800001CNHLBI NIH HHS R01 HL105756NHLBI NIH HHS R01 HL117626NHLBI NIH HHS R01 HL120393NHLBI NIH HHS R01 HL131573NHLBI NIH HHS R01 HL133221NHLBI NIH HHS R01 HL144569NHLBI NIH HHS R01 HL155569NHLBI NIH HHS U01 HL120393NIDDK NIH HHS U01 DK062413
6 · The paper itself

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.

Indexed as

EpigenomeGenome, MitochondrialAgedDNA Copy Number VariationsDNA MethylationDNA, MitochondrialFemaleHumansMaleMiddle AgedDNA, Mitochondrial

Identifiers

PMID34415308
PMCPMC8742999
OpenAlexW3194923225

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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 OpenQuestion graph.