4.6 Article

Differences in smoking associated DNA methylation patterns in South Asians and Europeans

期刊

CLINICAL EPIGENETICS
卷 6, 期 -, 页码 -

出版社

BMC
DOI: 10.1186/1868-7083-6-4

关键词

DNA methylation; Smoking; Prediction; Ethnic differences; Epigenetic epidemiology

资金

  1. Medical Research Council
  2. Diabetes UK
  3. British Heart Foundation
  4. Wellcome Trust
  5. Wellcome Trust [082464/Z/07/C]
  6. Oak Foundation
  7. Biomedical Research Centre
  8. BBSRC [BB/I025751/1, BB/I025263/1] Funding Source: UKRI
  9. MRC [MC_UU_12013/2, MC_UU_12013/1] Funding Source: UKRI
  10. Biotechnology and Biological Sciences Research Council [BB/I025263/1, BB/I025751/1] Funding Source: researchfish
  11. Medical Research Council [MC_UU_12013/1, MC_UU_12013/2] Funding Source: researchfish
  12. Wellcome Trust [082464/Z/07/C] Funding Source: Wellcome Trust

向作者/读者索取更多资源

Background: DNA methylation is strongly associated with smoking status at multiple sites across the genome. Studies have largely been restricted to European origin individuals yet the greatest increase in smoking is occurring in low income countries, such as the Indian subcontinent. We determined whether there are differences between South Asians and Europeans in smoking related loci, and if a smoking score, combining all smoking related DNA methylation scores, could differentiate smokers from non-smokers. Results: Illumina HM450k BeadChip arrays were performed on 192 samples from the Southall And Brent REvisited (SABRE) cohort. Differential methylation in smokers was identified in 29 individual CpG sites at 18 unique loci. Interaction between smoking status and ethnic group was identified at the AHRR locus. Ethnic differences in DNA methylation were identified in non-smokers at two further loci, 6p21.33 and GNG12. With the exception of GFI1 and MYO1G these differences were largely unaffected by adjustment for cell composition. A smoking score based on methylation profile was constructed. Current smokers were identified with 100% sensitivity and 97% specificity in Europeans and with 80% sensitivity and 95% specificity in South Asians. Conclusions: Differences in ethnic groups were identified in both single CpG sites and combined smoking score. The smoking score is a valuable tool for identification of true current smoking behaviour. Explanations for ethnic differences in DNA methylation in association with smoking may provide valuable clues to disease pathways.

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