Evidence map›Paper›PMID 42756691›Full record

ArticleMedComm2026

Genetic Regulation of DNA Methylation and Its Mediating Role in Blood Pressure: A Genome-Wide Twin Study.

Xuanming Hong, Ming Li, Weihua Cao, Jun Lv, Canqing Yu, Tao Huang, Dianjianyi Sun, Chunxiao Liao, Yuanjie Pang, Runhua Hu and 8 more

Abstract read
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In one paragraph

Article in MedComm, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Xuanming HongDepartment of Epidemiology and Biostatistics School of Public Health Peking University Beijing China.
Ming LiDepartment of Epidemiology and Biostatistics School of Public Health Peking University Beijing China.
Weihua CaoDepartment of Epidemiology and Biostatistics School of Public Health Peking University Beijing China.
Jun LvDepartment of Epidemiology and Biostatistics School of Public Health Peking University Beijing China.
Canqing YuDepartment of Epidemiology and Biostatistics School of Public Health Peking University Beijing China.
Tao HuangDepartment of Epidemiology and Biostatistics School of Public Health Peking University Beijing China.
Dianjianyi SunDepartment of Epidemiology and Biostatistics School of Public Health Peking University Beijing China.
Chunxiao LiaoDepartment of Epidemiology and Biostatistics School of Public Health Peking University Beijing China.
Yuanjie PangDepartment of Epidemiology and Biostatistics School of Public Health Peking University Beijing China.
Runhua HuDepartment of Epidemiology and Biostatistics School of Public Health Peking University Beijing China.
Ruqin GaoQingdao Center for Disease Control and Prevention Qingdao China.
Min YuZhejiang Center for Disease Control and Prevention Hangzhou China.
Jinyi ZhouJiangsu Center for Disease Control and Prevention Nanjing China.
Xianping WuSichuan Center for Disease Control and Prevention Chengdu China.
Yu LiuHeilongjiang Center for Disease Control and Prevention Harbin China.
Shengli YinDezhou Center for Disease Control and Prevention Dezhou China.
Wenjing GaoDepartment of Epidemiology and Biostatistics School of Public Health Peking University Beijing China.
Liming LiDepartment of Epidemiology and Biostatistics School of Public Health Peking University Beijing China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation regulates gene expression, yet its role in the genetic regulation of blood pressure (BP) remains unclear. Using 1056 Chinese National Twin Registry participants (528 twin pairs), we estimated genome-wide DNA methylation heritability and genetic correlations between DNA methylation and BP using structural equation models. Genetically correlated CpGs were then tested using linear mixed-effects models in the full sample and in monozygotic twin pairs. Mendelian randomization (MR) was applied using East Asian methylation quantitative trait locus (mQTL) and genome-wide association study (GWAS) data, followed by integration of

Indexed as

blood pressureDNA methylationheritabilityMendelian randomizationtwin study

Identifiers

PMID42756691
PMCPMC13583443

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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.