Evidence map›Paper›PMID 32968204›Full record

ArticleJournal of human genetics2021

Association of ABCG1 gene methylation and its dynamic change status with incident type 2 diabetes mellitus: the Rural Chinese Cohort Study.

Ranran Qie, Qing Chen, Tieqiang Wang, Xiaoliang Chen, Jian Wang, Ruirong Cheng, Jinchun Lin, Yang Zhao, Dechen Liu, Pei Qin and 17 more

Abstract read
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In one paragraph

Article in Journal of human genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 27% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  13. Metabolic memory: mechanisms and diseases.Signal transduction and targeted therapy · 2024
    Review
  14. Article
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  16. Article
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  18. Review
  19. DNA Methylation and Type 2 Diabetes: Novel Biomarkers for Risk Assessment?International journal of molecular sciences · 2021
    Review
  20. Uncurtaining the pivotal role of ABC transporters in diabetes mellitus.Environmental science and pollution research international · 2021
    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

27 authors at 3 institutions in 1 country.

Ranran QieDepartment of Biostatistics and Epidemiology, School of Public Health, Shenzhen Univerity Health Science Center, Shenzhen, PR China.
Qing ChenDepartment of Mental Health, Bao'an Chronic Diseases Prevent and Cure Hospital, Shenzhen, PR China.
Tieqiang WangKey Lab of Epidemiology, Department of Infectious Disease Control and Prevention, Shenzhen Guangming District Center for Disease Control and Prevention, Shenzhen, PR China.
Xiaoliang ChenKey Lab of Epidemiology, Department of Chronic Disease Control and Prevention, Shenzhen Guangming District Center for Disease Control and Prevention, Shenzhen, PR China.
Jian WangStudy Team of Shenzhen's Sanming Project, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, PR China.
Ruirong ChengStudy Team of Shenzhen's Sanming Project, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, PR China.
Jinchun LinStudy Team of Shenzhen's Sanming Project, The Affiliated Luohu Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, PR China.
Yang ZhaoDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Dechen LiuDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Pei QinDepartment of Biostatistics and Epidemiology, School of Public Health, Shenzhen Univerity Health Science Center, Shenzhen, PR China.
Cheng ChengDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Leilei LiuDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Quanman LiDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Chunmei GuoDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Qionggui ZhouDepartment of Biostatistics and Epidemiology, School of Public Health, Shenzhen Univerity Health Science Center, Shenzhen, PR China.
Gang TianDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Minghui HanDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Shengbing HuangDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Yanyan ZhangDepartment of Biostatistics and Epidemiology, School of Public Health, Shenzhen Univerity Health Science Center, Shenzhen, PR China.
Xiaoyan WuDepartment of Biostatistics and Epidemiology, School of Public Health, Shenzhen Univerity Health Science Center, Shenzhen, PR China.
Yuying WuDepartment of Biostatistics and Epidemiology, School of Public Health, Shenzhen Univerity Health Science Center, Shenzhen, PR China.
Yang LiDepartment of Biostatistics and Epidemiology, School of Public Health, Shenzhen Univerity Health Science Center, Shenzhen, PR China.
Xingjin YangDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Yang ZhaoDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Yifei FengDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Dongsheng HuDepartment of Biostatistics and Epidemiology, School of Public Health, Shenzhen Univerity Health Science Center, Shenzhen, PR China.
Ming ZhangDepartment of Biostatistics and Epidemiology, School of Public Health, Shenzhen Univerity Health Science Center, Shenzhen, PR China. zhangming@szu.edu.cn.ORCID http://orcid.org/0000-0002-2923-5335
Zhengzhou University · CNShenzhen University Health Science Center · CNShenzhen Center for Disease Control and Prevention · CN

Funding

National Natural Science Foundation of China (National Science Foundation of China) 81373074, 81402752 and 81673260National Natural Science Foundation of China (National Science Foundation of China) 81402752 and 81673260
6 · The paper itself

Abstract

To explore whether DNA methylation of the ATP-binding cassette G1 (ABCG1) gene and its dynamic change are associated with incident type 2 diabetes mellitus (T2DM). We conducted a nested case-control study with 286 pairs of T2DM cases and matched controls nested in the Rural Chinese Cohort Study. Conditional logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for incident T2DM risk according to ABCG1 methylation level at baseline and its dynamic change at follow-up examination. Spearman's rank correlation coefficients were used to analyze the association between ABCG1 methylation and its possible risk factors in the control group. We found that T2DM risk increased by 16% (OR = 1.16, 95% CI = 1.02-1.31) with each 1% increase in DNA methylation levels of the ABCG1 loci CpG13 and CpG14. DNA methylation change of the ABCG1 locus CpG15 during the 6-year follow-up was associated with increased T2DM risk: T2DM risk increased by 78% in the upper tertile group (methylation gain ≥5%) versus lower tertile group (methylation gain <1%) (OR = 1.78, 95% CI = 1.01-3.15). Furthermore, body mass index was positively correlated with the DNA methylation level of the ABCG1 loci CpG13, CpG14 and CpG15. In conclusion, DNA methylation levels of the ABCG1 loci CpG13 and CpG14 and the methylation gain of locus CpG15 were positively associated with incident T2DM risk, which may suggest a possible etiologic pattern for T2DM and potentially improve T2DM prediction in rural Chinese people.

Indexed as

DNA MethylationAsian PeopleATP Binding Cassette Transporter, Subfamily G, Member 1Blood GlucoseBody Mass IndexCase-Control StudiesChinaCohort StudiesDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedRisk FactorsABCG1 protein, humanATP Binding Cassette Transporter, Subfamily G, Member 1Blood Glucose

Identifiers

PMID32968204
OpenAlexW3088550179

What OpenQuestion holds

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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.