Evidence map›Paper›PMID 34515027›Full record

ArticleeLife2021

Epigenome-wide analysis of DNA methylation and coronary heart disease: a nested case-control study.

Jiahui Si, Songchun Yang, Dianjianyi Sun, Canqing Yu, Yu Guo, Yifei Lin, Iona Y Millwood, Robin G Walters, Ling Yang, Yiping Chen and 10 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Accelerated epigenetic age in hypertension: a systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Pooled it
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  18. Epigenetics in Precision Nutrition.Journal of personalized medicine · 2022
    Review
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 8 institutions in 4 countries.

Jiahui SiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.ORCID 0000-0003-0827-4973
Songchun YangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Dianjianyi SunDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Canqing YuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.ORCID 0000-0002-0019-0014
Yu GuoChinese Academy of Medical Sciences, Beijing, China.
Yifei LinDepartment of Urology, West China Hospital, Sichuan University, Chengdu, China.
Iona Y MillwoodMedical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom.
Robin G WaltersMedical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom.
Ling YangMedical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom.
Yiping ChenMedical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom.
Huaidong DuMedical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom.
Yujie HuaNCDs Prevention and Control Department, Suzhou CDC, Jiangsu, China.
Jingchao LiuNCDs Prevention and Control Department, Wuzhong CDC, Jiangsu, China.
Junshi ChenChina National Center for Food Safety Risk Assessment, Beijing, China.
Zhengming ChenClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Wei ChenDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, United States.
Jun LvDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.ORCID 0000-0001-7916-3870
Liming LiangDepartments of Epidemiology and Biostatistics, Harvard T.H. Chan School of Public Health, Boston, United States.
Liming LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
China Kadoorie Biobank Collaborative Group
University of Oxford · GBPeking University · CNHarvard University · USAcademy of Medical Sciences · GBCenters for Disease Control and Prevention · KEChina National Center for Food Safety Risk Assessment · CNSichuan University · CNTulane University · US

Funding

Cancer Research UK 16896Medical Research Council MC_PC_13049Medical Research Council MC_PC_14135Medical Research Council MC_U137686851Medical Research Council MC_UU_00017/1Medical Research Council MC_UU_12026/2Wellcome Trust 088158/Z/09/ZWellcome Trust 104085/Z/14/ZWellcome Trust 202922/Z/16/ZWellcome Trust 212946/Z/18/Z
6 · The paper itself

Abstract

Background: Identifying environmentally responsive genetic loci where DNA methylation is associated with coronary heart disease (CHD) may reveal novel pathways or therapeutic targets for CHD. We conducted the first prospective epigenome-wide analysis of DNA methylation in relation to incident CHD in the Asian population. Methods: We did a nested case-control study comprising incident CHD cases and 1:1 matched controls who were identified from the 10 year follow-up of the China Kadoorie Biobank. Methylation level of baseline blood leukocyte DNA was measured by Infinium Methylation EPIC BeadChip. We performed the single cytosine-phosphate-guanine (CpG) site association analysis and network approach to identify CHD-associated CpG sites and co-methylation gene module. Results: After quality control, 982 participants (mean age 50.1 years) were retained. Methylation level at 25 CpG sites across the genome was associated with incident CHD (genome-wide false discovery rate [FDR] < 0.05 or module-specific FDR < 0.01). One SD increase in methylation level of identified CpGs was associated with differences in CHD risk, ranging from a 47 % decrease to a 118 % increase. Mediation analyses revealed 28.5 % of the excessed CHD risk associated with smoking was mediated by methylation level at the promoter region of Conclusions: We identified novel blood methylation alterations associated with incident CHD in the Asian population and provided evidence of the possible role of epigenetic regulations in the smoking- and blood pressure-related pathways to CHD risk. Funding: This work was supported by National Natural Science Foundation of China (81390544 and 91846303). The CKB baseline survey and the first re-survey were supported by a grant from the Kadoorie Charitable Foundation in Hong Kong. The long-term follow-up is supported by grants from the UK Wellcome Trust (202922/Z/16/Z, 088158/Z/09/Z, 104085/Z/14/Z), grant (2016YFC0900500, 2016YFC0900501, 2016YFC0900504, 2016YFC1303904) from the National Key R&D Program of China, and Chinese Ministry of Science and Technology (2011BAI09B01).

Indexed as

DNA MethylationEpigenomeAdultCase-Control StudiesChinaCoronary DiseaseFemaleHumansMaleMiddle AgedPrevalenceProspective Studiescoronary heart diseaseDNA methylationepidemiologyepigeneticsgeneticsgenomicsglobal healthhuman

Identifiers

PMID34515027
PMCPMC8585480
OpenAlexW3200831816

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.