4.6 Article

Genome-wide DNA methylation and long-term ambient air pollution exposure in Korean adults

期刊

CLINICAL EPIGENETICS
卷 11, 期 -, 页码 -

出版社

BMC
DOI: 10.1186/s13148-019-0635-z

关键词

Air pollution; Particulate matter; Nitrogen dioxide; Epigenesis; genetic; Epigenomics

资金

  1. Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Science, ICT & Future Planning [2013R1A1A1057961, 2017R1A2B4003790, 2018R1A2B6004608]
  2. Ministry of Education [2013R1A6A3A04059017]
  3. National Cancer Center [NCC-1810220-01]
  4. Environmental Health Center - Ministry of Environment, Republic of Korea
  5. Intramural Research Program of the NIH, National Institute of Environmental Health Sciences [ZO1 ES04012]
  6. National Research Foundation of Korea [2017R1A2B4003790, 2013R1A1A1057961] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
  7. NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES [ZIAES043012] Funding Source: NIH RePORTER

向作者/读者索取更多资源

BackgroundAmbient air pollution is associated with numerous adverse health outcomes, but the underlying mechanisms are not well understood; epigenetic effects including altered DNA methylation could play a role. To evaluate associations of long-term air pollution exposure with DNA methylation in blood, we conducted an epigenome-wide association study in a Korean chronic obstructive pulmonary disease cohort (N=100 including 60 cases) using Illumina's Infinium HumanMethylation450K Beadchip. Annual average concentrations of particulate matter 10m in diameter (PM10) and nitrogen dioxide (NO2) were estimated at participants' residential addresses using exposure prediction models. We used robust linear regression to identify differentially methylated probes (DMPs) and two different approaches, DMRcate and comb-p, to identify differentially methylated regions (DMRs).ResultsAfter multiple testing correction (false discovery rate <0.05), there were 12 DMPs and 27 DMRs associated with PM10 and 45 DMPs and 57 DMRs related to NO2. DMP cg06992688 (OTUB2) and several DMRs were associated with both exposures. Eleven DMPs in relation to NO2 confirmed previous findings in Europeans; the remainder were novel. Methylation levels of 39 DMPs were associated with expression levels of nearby genes in a separate dataset of 3075 individuals. Enriched networks were related to outcomes associated with air pollution including cardiovascular and respiratory diseases as well as inflammatory and immune responses.ConclusionsThis study provides evidence that long-term ambient air pollution exposure impacts DNA methylation. The differential methylation signals can serve as potential air pollution biomarkers. These results may help better understand the influences of ambient air pollution on human health.

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