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      AHRR cg05575921 methylation in relation to smoking and PM 2.5 exposure among Taiwanese men and women

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          Abstract

          Background

          Polycyclic aromatic hydrocarbon (PAH)-rich substances like cigarette smoke and PM 2.5 induce aryl hydrocarbon receptor (AHR)-mediated aryl hydrocarbon receptor repressor (AHRR) methylation. AHRR cg05575921 and coagulation factor II (thrombin) receptor-like 3 (F2RL3) cg03636183 methylation patterns are well-established biomarkers for smoking. Even though AHRR cg05575921 methylation has recently been associated with PM 2.5, the interaction between smoking and PM 2.5 on AHRR methylation is yet to be fully explored. We evaluated AHRR and F2RL3 CpG sites to identify potential significant markers in relation to PM 2.5 and smoking in Taiwanese adults.

          Methods

          DNA methylation and smoking data of 948 participants aged 30–70 years were obtained from the Taiwan Biobank Database (2008–2015), while PM 2.5 data were obtained from the Air Quality Monitoring Database (2006–2011).

          Results

          Smoking and PM 2.5 were independently associated with hypomethylation (lower levels) of AHRR cg05575921, AHRR cg23576855, F2RL3 cg03636183, and F2LR3 cg21911711 after multiple-comparison correction (Bonferroni P < 0.00028409). Cg05575921 was the most hypomethylated AHRR CpG site, while cg03636183 was the most hypomethylated F2RL3 CpG site. Overall, cg05575921 was the most hypomethylated CpG site: β = − 0.03909, P < 0.0001; − 0.17536, P < 0.0001 for former and current smoking, respectively (P-trend smoking < 0.0001) and − 0.00141, P < 0.0001 for PM 2.5. After adjusting for F2RL3 cg03636183, smoking and PM 2.5 remained significantly associated with cg05575921 hypomethylation: β − 0.02221, P < 0.0001; − 0.11578, P < 0.0001 for former and current smoking, respectively (P-trend smoking < 0.0001) and − 0.0070, P = 0.0120 for PM 2.5. After stratification by sex, smoking and PM 2.5 remained associated ( P < 0.05) with cg05575921 hypomethylation in both men ( β = − 0.04274, − 0.17700, and − 0.00163 for former smoking, current smoking, and PM 2.5, respectively) and women ( β = − 0.01937, − 0.17255, and − 0.00105 for former smoking, current smoking, and PM 2.5, respectively). After stratification by residential area, former and current smoking remained associated ( P < 0.05) with cg05575921 hypomethylation: β = − 0.03918 and − 0.17536, respectively (P-trend smoking < 0.0001). Living in the central and southern areas was also associated ( P < 0.05) with cg05575921 hypomethylation: β = − 0.01356 and − 0.01970, respectively (P-trend area < 0.0001).

          Conclusion

          Smoking and PM 2.5 were independently associated with hypomethylation of cg05575921, cg23576855, cg03636183, and cg21911711. The most hypomethylated CpG site was cg05575921 and its association with smoking and PM 2.5 was dose-dependent.

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          Most cited references44

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          Global estimates of mortality associated with long-term exposure to outdoor fine particulate matter

          Significance Exposure to outdoor concentrations of fine particulate matter is considered a leading global health concern, largely based on estimates of excess deaths using information integrating exposure and risk from several particle sources (outdoor and indoor air pollution and passive/active smoking). Such integration requires strong assumptions about equal toxicity per total inhaled dose. We relax these assumptions to build risk models examining exposure and risk information restricted to cohort studies of outdoor air pollution, now covering much of the global concentration range. Our estimates are severalfold larger than previous calculations, suggesting that outdoor particulate air pollution is an even more important population health risk factor than previously thought.
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            Air pollution and lung cancer incidence in 17 European cohorts: prospective analyses from the European Study of Cohorts for Air Pollution Effects (ESCAPE).

            Ambient air pollution is suspected to cause lung cancer. We aimed to assess the association between long-term exposure to ambient air pollution and lung cancer incidence in European populations. This prospective analysis of data obtained by the European Study of Cohorts for Air Pollution Effects used data from 17 cohort studies based in nine European countries. Baseline addresses were geocoded and we assessed air pollution by land-use regression models for particulate matter (PM) with diameter of less than 10 μm (PM10), less than 2·5 μm (PM2·5), and between 2·5 and 10 μm (PMcoarse), soot (PM2·5absorbance), nitrogen oxides, and two traffic indicators. We used Cox regression models with adjustment for potential confounders for cohort-specific analyses and random effects models for meta-analyses. The 312 944 cohort members contributed 4 013 131 person-years at risk. During follow-up (mean 12·8 years), 2095 incident lung cancer cases were diagnosed. The meta-analyses showed a statistically significant association between risk for lung cancer and PM10 (hazard ratio [HR] 1·22 [95% CI 1·03-1·45] per 10 μg/m(3)). For PM2·5 the HR was 1·18 (0·96-1·46) per 5 μg/m(3). The same increments of PM10 and PM2·5 were associated with HRs for adenocarcinomas of the lung of 1·51 (1·10-2·08) and 1·55 (1·05-2·29), respectively. An increase in road traffic of 4000 vehicle-km per day within 100 m of the residence was associated with an HR for lung cancer of 1·09 (0·99-1·21). The results showed no association between lung cancer and nitrogen oxides concentration (HR 1·01 [0·95-1·07] per 20 μg/m(3)) or traffic intensity on the nearest street (HR 1·00 [0·97-1·04] per 5000 vehicles per day). Particulate matter air pollution contributes to lung cancer incidence in Europe. European Community's Seventh Framework Programme. Copyright © 2013 Elsevier Ltd. All rights reserved.
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              Tobacco-smoking-related differential DNA methylation: 27K discovery and replication.

              Tobacco smoking is responsible for substantial morbidity and mortality worldwide, in particular through cardiovascular, pulmonary, and malignant pathology. CpG methylation might plausibly play a role in a variety of smoking-related phenomena, as suggested by candidate gene promoter or global methylation studies. Arrays allowing hypothesis-free searches on a scale resembling genome-wide studies of SNPs have become available only very recently. Methylation extents in peripheral-blood DNA were assessed at 27,578 sites in more than 14,000 gene promoter regions in 177 current smokers, former smokers, and those who had never smoked, with the use of the Illumina HumanMethylation 27K BeadChip. This revealed a single locus, cg03636183, located in F2RL3, with genome-wide significance for lower methylation in smokers (p = 2.68 × 10(-31)). This was similarly significant in 316 independent replication samples analyzed by mass spectrometry and Sequenom EpiTyper (p = 6.33 × 10(-34)). Our results, which were based on a rigorous replication approach, show that the gene coding for a potential drug target of cardiovascular importance features altered methylation patterns in smokers. To date, this gene had not attracted attention in the literature on smoking. Copyright © 2011 The American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                Liawyp@csmu.edu.tw
                Journal
                Clin Epigenetics
                Clin Epigenetics
                Clinical Epigenetics
                BioMed Central (London )
                1868-7075
                1868-7083
                31 July 2020
                31 July 2020
                2020
                : 12
                : 117
                Affiliations
                [1 ]GRID grid.411645.3, ISNI 0000 0004 0638 9256, Department of Medical Imaging, , Chung Shan Medical University Hospital, ; Taichung City, Taiwan
                [2 ]GRID grid.411641.7, ISNI 0000 0004 0532 2041, Department of Public Health and Institute of Public Health, , Chung Shan Medical University, ; No. 110, Sec. 1 Jianguo N. Rd, Taichung City, 40201 Taiwan
                [3 ]GRID grid.411641.7, ISNI 0000 0004 0532 2041, School of Medicine, , Chung Shan Medical University, ; Taichung City, Taiwan
                [4 ]GRID grid.411641.7, ISNI 0000 0004 0532 2041, School of Medical Imaging and Radiological Sciences, , Chung Shan Medical University, ; Taichung City, Taiwan
                [5 ]GRID grid.411641.7, ISNI 0000 0004 0532 2041, School of Medical Informatics, , Chung Shan Medical University, ; Taichung City, 40201 Taiwan
                [6 ]GRID grid.411645.3, ISNI 0000 0004 0638 9256, Medical Imaging and Big Data Center, , Chung Shan Medical University Hospital, ; Taichung City, Taiwan
                Author information
                http://orcid.org/0000-0003-2046-4964
                Article
                908
                10.1186/s13148-020-00908-3
                7394684
                32736658
                8e6a8608-dbd7-4522-8bb6-056c5381fd06
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 5 December 2019
                : 20 July 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100004663, Ministry of Science and Technology, Taiwan;
                Award ID: MOST 105-2627-M-040-002; 106-2627-M-040-002; 107-2627-M-040-002, 108-2621-M-040-00, 106-EPA-F-016-001, and 107-EPA-F-017-002
                Categories
                Research
                Custom metadata
                © The Author(s) 2020

                Genetics
                smoking,pm2.5,cg05575921,taiwan biobank,taiwan air quality network
                Genetics
                smoking, pm2.5, cg05575921, taiwan biobank, taiwan air quality network

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