Evidence map›Paper›PMID 31537805›Full record

ArticleNature communications2019

Genome-wide identification of DNA methylation QTLs in whole blood highlights pathways for cardiovascular disease.

Tianxiao Huan, Roby Joehanes, Ci Song, Fen Peng, Yichen Guo, Michael Mendelson, Chen Yao, Chunyu Liu, Jiantao Ma, Melissa Richard and 10 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 157 papers, 18 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
157citing papers in PubMed, 18 pooled it
9.3field-weighted citation impact, top 1% 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

157 citing papers in PubMed, 18 syntheses or guidelines pooled it, 245 citations in OpenAlex.

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  2. Accelerated epigenetic age in hypertension: a systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
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97 more citing papers are in PubMed but not listed here.

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

20 authors at 10 institutions in 2 countries.

Tianxiao HuanThe Framingham Heart Study, Framingham, MA, USA. tianxiao.huan@nih.gov.
Roby JoehanesThe Framingham Heart Study, Framingham, MA, USA.
Ci SongThe Framingham Heart Study, Framingham, MA, USA.
Fen PengBrown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.
Yichen GuoDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.ORCID http://orcid.org/0000-0003-1298-9410
Michael MendelsonThe Framingham Heart Study, Framingham, MA, USA.
Chen YaoThe Framingham Heart Study, Framingham, MA, USA.ORCID http://orcid.org/0000-0002-3944-7788
Chunyu LiuDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Jiantao MaThe Framingham Heart Study, Framingham, MA, USA.
Melissa RichardBrown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.ORCID http://orcid.org/0000-0003-0129-9860
Golareh AghaMailman School of Public Health, Columbia University, New York City, NY, USA.
Weihua GuanDivision of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Lynn M AlmliDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA.ORCID http://orcid.org/0000-0003-4399-807X
Karen N ConneelyDepartment of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA.
Joshua KeefeThe Framingham Heart Study, Framingham, MA, USA.
Shih-Jen HwangThe Framingham Heart Study, Framingham, MA, USA.
Andrew D JohnsonThe Framingham Heart Study, Framingham, MA, USA.
Myriam FornageBrown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.
Liming LiangDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA. lliang@hsph.harvard.edu.ORCID http://orcid.org/0000-0001-8261-3174
Daniel LevyThe Framingham Heart Study, Framingham, MA, USA. Levyd@nih.gov.
National Institutes of Health · USBrown Foundation · USEmory University · USHarvard University · USBoston Children's Hospital · USBoston University · USColumbia University · USNational Heart Lung and Blood Institute · USUniversity of Minnesota · USUppsala University · SE

Funding

Building on GWAS for NHLBI-disease: the CHARGE consortiumRC2HL102419 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A. · 2009 to 2010
$27.6M
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
An Integrated Genetic and Epigenetic Approach to Cerebral Small Vessel DiseaseR01NS087541 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A., FORNAGE, MYRIAM · 2014 to 2017
$2.5M
Dietary factors, biomarkers, metabolic pathways related to non-alcoholic fatty liver diseaseK22HL135075 · NHLBI · TUFTS UNIVERSITY BOSTON · PI MA, JIANTAO · 2019 to 2021
$747k
Circulating Epigenetic Biomarkers for Personalized Cardiovascular Disease PreventionK99HL136875 · NHLBI · BOSTON CHILDREN'S HOSPITAL · PI MENDELSON, MICHAEL MAXWELL · 2017 to 2018
$330k
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
–
NHLBI NIH HHS HHSN268201500001CNHLBI NIH HHS HHSN268201500001INHLBI NIH HHS HHSN268201700001CNHLBI NIH HHS HHSN268201700001INHLBI NIH HHS HHSN268201700002CNHLBI NIH HHS HHSN268201700002INHLBI NIH HHS HHSN268201700003CNHLBI NIH HHS HHSN268201700003INHLBI NIH HHS HHSN268201700004CNHLBI NIH HHS HHSN268201700004INHLBI NIH HHS HHSN268201700005CNHLBI NIH HHS HHSN268201700005INHLBI NIH HHS K22 HL135075NHLBI NIH HHS K99 HL136875NHLBI NIH HHS N01 HC025195NHLBI NIH HHS R01 HL105756NHLBI NIH HHS RC2 HL102419NINDS NIH HHS R01 NS087541
6 · The paper itself

Abstract

Identifying methylation quantitative trait loci (meQTLs) and integrating them with disease-associated variants from genome-wide association studies (GWAS) may illuminate functional mechanisms underlying genetic variant-disease associations. Here, we perform GWAS of >415 thousand CpG methylation sites in whole blood from 4170 individuals and map 4.7 million cis- and 630 thousand trans-meQTL variants targeting >120 thousand CpGs. Independent replication is performed in 1347 participants from two studies. By linking cis-meQTL variants with GWAS results for cardiovascular disease (CVD) traits, we identify 92 putatively causal CpGs for CVD traits by Mendelian randomization analysis. Further integrating gene expression data reveals evidence of cis CpG-transcript pairs causally linked to CVD. In addition, we identify 22 trans-meQTL hotspots each targeting more than 30 CpGs and find that trans-meQTL hotspots appear to act in cis on expression of nearby transcriptional regulatory genes. Our findings provide a powerful meQTL resource and shed light on DNA methylation involvement in human diseases.

Indexed as

AgedCardiovascular DiseasesCpG IslandsDNA MethylationFemaleGenetic Predisposition to DiseaseGenome, HumanGenome-Wide Association StudyHumansMaleMiddle AgedPolymorphism, Single NucleotideQuantitative Trait Loci

Identifiers

PMID31537805
PMCPMC6753136
OpenAlexW2973820537

What OpenQuestion holds

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Registered trials

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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.