Evidence map›Paper›PMID 34809630›Full record

ArticleRespiratory research2021

Genome-wide DNA methylation analysis of pulmonary function in middle and old-aged Chinese monozygotic twins.

Tong Wang, Weijing Wang, Weilong Li, Haiping Duan, Chunsheng Xu, Xiaocao Tian, Dongfeng Zhang

Open access · goldAbstract readMulticenter StudyTwin Study
In one paragraph

Article in Respiratory research, 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
2.8field-weighted citation impact, top 8% 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, 32 citations in OpenAlex.

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  5. The Genetic Architecture of Biological Age in Nine Human Organ Systems.medRxiv : the preprint server for health sciences · 2024
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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

7 authors at 3 institutions in 2 countries.

Tong WangDepartment of Epidemiology and Health Statistics, the College of Public Health of Qingdao University, NO. 308 Ning Xia Street, Qingdao, 266071, Shandong Province, People's Republic of China.
Weijing WangDepartment of Epidemiology and Health Statistics, the College of Public Health of Qingdao University, NO. 308 Ning Xia Street, Qingdao, 266071, Shandong Province, People's Republic of China.
Weilong LiPopulation Research Unit, Faculty of Social Sciences, University of Helsinki, Helsinki, Finland.
Haiping DuanQingdao Municipal Center for Disease Control and Prevention, Qingdao, Shandong Province, People's Republic of China.
Chunsheng XuQingdao Municipal Center for Disease Control and Prevention, Qingdao, Shandong Province, People's Republic of China.
Xiaocao TianQingdao Municipal Center for Disease Control and Prevention, Qingdao, Shandong Province, People's Republic of China.
Dongfeng ZhangDepartment of Epidemiology and Health Statistics, the College of Public Health of Qingdao University, NO. 308 Ning Xia Street, Qingdao, 266071, Shandong Province, People's Republic of China. zhangdf1961@126.com.ORCID http://orcid.org/0000-0001-9308-9371
Qingdao Municipal Center for Disease Control and Prevention · CNQingdao University · CNUniversity of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies have determined the epigenetic association between DNA methylation and pulmonary function among various ethnics, whereas this association is largely unknown in Chinese adults. Thus, we aimed to explore epigenetic relationships between genome-wide DNA methylation levels and pulmonary function among middle-aged Chinese monozygotic twins.

methodsThe monozygotic twin sample was drawn from the Qingdao Twin Registry. Pulmonary function was measured by three parameters including forced expiratory volume the first second (FEV1), forced vital capacity (FVC), and FEV1/FVC ratio. Linear mixed effect model was used to regress the methylation level of CpG sites on pulmonary function. After that, we applied Genomic Regions Enrichment of Annotations Tool (GREAT) to predict the genomic regions enrichment, and used comb-p python library to detect differentially methylated regions (DMRs). Gene expression analysis was conducted to validate the results of differentially methylated analyses.

resultsWe identified 112 CpG sites with the level of P < 1 × 10

conclusionOur DNA methylation sequencing analysis on identical twins provides new references for the epigenetic regulation on pulmonary function. Several CpG sites, genes, biological pathways and DMRs are considered as possible crucial to pulmonary function.

Indexed as

Gene Expression RegulationAgedCardiovascular DiseasesChinaDiseases in TwinsDNA MethylationFemaleForced Expiratory VolumeGenome-Wide Association StudyHumansIncidenceLungMaleMiddle AgedPositive Regulatory Domain I-Binding Factor 1Promoter Regions, GeneticPositive Regulatory Domain I-Binding Factor 1PRDM1 protein, humanDNA methylationEpigeneticsMonozygotic twinsPulmonary function

Identifiers

PMID34809630
PMCPMC8609861
OpenAlexW3216356557

What Socratic holds

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LicenceCC BY
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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 Socratic graph.