• Lancet · Oct 2016

    Methylation loci associated with body mass index, waist circumference, and waist-to-hip ratio in Chinese adults: an epigenome-wide analysis.

    • Biqi Wang, Wenjing Gao, Jun Li, Canqing Yu, Weihua Cao, Jun Lv, Zengchang Pang, Liming Cong, Hua Wang, Xianping Wu, Liming Liang, Tangchun Wu, and Liming Li.
    • Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
    • Lancet. 2016 Oct 1; 388 Suppl 1: S21.

    BackgroundDNA methylation has been implicated in the pathology of obesity, but little is known about such epigenetic variants in Chinese people. We conducted an epigenome-wide analysis of methylation at CpG sites in relation to body mass index (BMI), waist circumference (WC) and waist-to-hip ratio (WHR) among Chinese adult populations.Methods469 twins from the Chinese National Twin Registry were the discovery cohort. After quality control, methylation levels in whole blood leukocyte DNA were tested for association with BMI, WC, and WHR using mixed linear regressions, adjusting for demographics, lifestyle, and family structure. Methylation sites at a false discovery rate (FDR) q value of 0·05 or less were selected for replication in four independent panels of general populations: Dongfeng-tongji cohort (n=688), Coke Oven Workers (n=137), Wuhan-Zhuhai cohort (n=241), and Shiyan participants (n=144). Association of obesity traits with the selected CpG sites in each replication panel was examined using linear regressions with adjustment of covariates similar to that in the discovery cohort, and results were combined using fixed effect meta-analysis with significance level penalised by Bonferroni correction. All participants gave written informed consent, and the Peking University Biomedical Ethics Committee approved the study protocol.FindingsMethylation levels at 6, 3, and 1 CpG sites were significantly associated with BMI, WC, and WHR, respectively in discovery cohort (FDR q value range 0·0010-0·0443); these findings were replicated by meta-analysis in the four panels. We found associations between obesity traits and methylation at genes CPT1A (meta-analysis p=0·0013 for BMI, p=0·0047 for WC, and p=0·0178 for WHR), ABCG1 (p<0·0001 for BMI and WC) and SREBF1 (p<0·0001 for BMI). Additionally, CpG sites at gene ARID1B (meta-analysis effect size β -0·0221, 95% CI -0·0363 to -0·0079, p=0·0022 for BMI), gene TOP1 (-0·0237, -0·0404 to -0·0071, p=0·0053 for BMI), and methylation site cg17061862 (-0·0379, -0·0575 to -0·018, p=0·0002 for BMI; -0·0356, -0·0608 to -0·0103, p=0·0057 for WC) showed inverse associations with BMI or WC.InterpretationOur findings support the association of DNA methylation at CPT1A, ABCG1, and SREBF1 with obesity traits in Chinese populations. We identified additional associated methylation sites at genes ARID1B and TOP1 and at cg17061862.FundingThis study was supported by the Specific Research Project of Health Public Service, Ministry of Health, China (201002007, 201502006) and Key Grant Project of Chinese Ministry of Education (310006).Copyright © 2016 Elsevier Ltd. All rights reserved.

      Pubmed     Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…

Want more great medical articles?

Keep up to date with a free trial of metajournal, personalized for your practice.
1,694,794 articles already indexed!

We guarantee your privacy. Your email address will not be shared.