Evidence map›Paper›PMID 26756918›Full record

ArticleEnvironmental health perspectives2016

Genome-Wide Analysis of DNA Methylation and Cigarette Smoking in a Chinese Population.

Xiaoyan Zhu, Jun Li, Siyun Deng, Kuai Yu, Xuezhen Liu, Qifei Deng, Huizhen Sun, Xiaomin Zhang, Meian He, Huan Guo and 25 more

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 2 pooled it
6.3field-weighted citation impact, top 3% 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

57 citing papers in PubMed, 2 syntheses or guidelines pooled it, 95 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  6. Review
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  12. [Peripheral bloodNan fang yi ke da xue xue bao = Journal of Southern Medical University · 2023
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  13. Review
  14. Article
  15. Article
  16. Article
  17. Creating and Validating a DNA Methylation-Based Proxy for Interleukin-6.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021
    Article
  18. Article
  19. Article
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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

35 authors at 7 institutions in 3 countries.

Xiaoyan ZhuDepartment of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jun Li
Siyun Deng
Kuai Yu
Xuezhen Liu
Qifei Deng
Huizhen Sun
Xiaomin Zhang
Meian He
Huan Guo
Weihong Chen
Jing Yuan
Bing Zhang
Dan Kuang
Xiaosheng He
Yansen Bai
Xu Han
Bing Liu
Xiaoliang Li
Liangle Yang
Haijing Jiang
Yizhi Zhang
Jie Hu
Longxian Cheng
Xiaoting Luo
Wenhua Mei
Zhiming Zhou
Shunchang Sun
Liyun Zhang
Chuanyao Liu
Yanjun Guo
Zhihong Zhang
Frank B Hu
Liming Liang
Tangchun Wu
Environmental Health · GBHarvard University · USShenzhen Bao'an District People's Hospital · CNZhuhai People's Hospital · CNBrigham and Women's Hospital · USCentral Hospital of Wuhan · CNUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmoking is a risk factor for many human diseases. DNA methylation has been related to smoking, but genome-wide methylation data for smoking in Chinese populations is limited.

objectivesWe aimed to investigate epigenome-wide methylation in relation to smoking in a Chinese population.

methodsWe measured the methylation levels at > 485,000 CpG sites (CpGs) in DNA from leukocytes using a methylation array and conducted a genome-wide meta-analysis of DNA methylation and smoking in a total of 596 Chinese participants. We further evaluated the associations of smoking-related CpGs with internal polycyclic aromatic hydrocarbon (PAH) biomarkers and their correlations with the expression of corresponding genes.

resultsWe identified 318 CpGs whose methylation levels were associated with smoking at a genome-wide significance level (false discovery rate < 0.05), among which 161 CpGs annotated to 123 genes were not associated with smoking in recent studies of Europeans and African Americans. Of these smoking-related CpGs, methylation levels at 80 CpGs showed significant correlations with the expression of corresponding genes (including RUNX3, IL6R, PTAFR, ANKRD11, CEP135 and CDH23), and methylation at 15 CpGs was significantly associated with urinary 2-hydroxynaphthalene, the most representative internal monohydroxy-PAH biomarker for smoking.

conclusionWe identified DNA methylation markers associated with smoking in a Chinese population, including some markers that were also correlated with gene expression. Exposure to naphthalene, a byproduct of tobacco smoke, may contribute to smoking-related methylation. CITATION: Zhu X, Li J, Deng S, Yu K, Liu X, Deng Q, Sun H, Zhang X, He M, Guo H, Chen W, Yuan J, Zhang B, Kuang D, He X, Bai Y, Han X, Liu B, Li X, Yang L, Jiang H, Zhang Y, Hu J, Cheng L, Luo X, Mei W, Zhou Z, Sun S, Zhang L, Liu C, Guo Y, Zhang Z, Hu FB, Liang L, Wu T. 2016. Genome-wide analysis of DNA methylation and cigarette smoking in Chinese. Environ Health Perspect 124:966-973; http://dx.doi.org/10.1289/ehp.1509834.

Indexed as

DNA MethylationAsian PeopleChinaDinucleoside PhosphatesFemaleGene ExpressionGenome-Wide Association StudyHumansMaleNaphtholsRisk FactorsSmoking2-naphtholCpG dinucleotideDinucleoside PhosphatesNaphthols

Identifiers

PMID26756918
PMCPMC4937856
OpenAlexW2423194785

What OpenQuestion holds

Textmetadata
LicenceCC0
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 OpenQuestion graph.