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肥胖相关特征的全基因组关联研究。

An Epigenome-Wide Association Study of Obesity-Related Traits.

机构信息

Department of Epidemiology, Erasmus University Medical Center.

Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.

出版信息

Am J Epidemiol. 2018 Aug 1;187(8):1662-1669. doi: 10.1093/aje/kwy025.

Abstract

We conducted an epigenome-wide association study on obesity-related traits. We used data from 2 prospective, population-based cohort studies: the Rotterdam Study (RS) (2006-2013) and the Atherosclerosis Risk in Communities (ARIC) Study (1990-1992). We used the RS (n = 1,450) as the discovery panel and the ARIC Study (n = 2,097) as the replication panel. Linear mixed-effect models were used to assess the cross-sectional associations between genome-wide DNA methylation in leukocytes and body mass index (BMI) and waist circumference (WC), adjusting for sex, age, smoking, leukocyte proportions, array number, and position on array. The latter 2 variables were modeled as random effects. Fourteen 5'-C-phosphate-G-3' (CpG) sites were associated with BMI and 26 CpG sites with WC in the RS after Bonferroni correction (P < 1.07 × 10-7), of which 12 and 13 CpGs were replicated in the ARIC Study, respectively. The most significant novel CpGs were located on the Musashi RNA binding protein 2 gene (MSI2; cg21139312) and the leucyl-tRNA synthetase 2, mitochondrial gene (LARS2; cg18030453) and were associated with both BMI and WC. CpGs at BRDT, PSMD1, IFI44L, MAP1A, and MAP3K5 were associated with BMI. CpGs at LGALS3BP, MAP2K3, DHCR24, CPSF4L, and TMEM49 were associated with WC. We report novel associations between methylation at MSI2 and LARS2 and obesity-related traits. These results provide further insight into mechanisms underlying obesity-related traits, which can enable identification of new biomarkers in obesity-related chronic diseases.

摘要

我们进行了一项与肥胖相关特征的表观基因组关联研究。我们使用了来自两个前瞻性、基于人群的队列研究的数据:鹿特丹研究(RS)(2006-2013 年)和动脉粥样硬化风险社区研究(ARIC)(1990-1992 年)。我们使用 RS(n=1450)作为发现面板,ARIC 研究(n=2097)作为复制面板。线性混合效应模型用于评估白细胞全基因组 DNA 甲基化与体重指数(BMI)和腰围(WC)之间的横断面关联,调整性别、年龄、吸烟、白细胞比例、数组数量和数组位置。后两个变量作为随机效应进行建模。在 RS 中,经过 Bonferroni 校正(P<1.07×10-7),有 14 个 5'-C-磷酸-G-3'(CpG)位点与 BMI 相关,26 个 CpG 位点与 WC 相关,其中 12 个和 13 个 CpG 分别在 ARIC 研究中得到复制。最显著的新 CpG 位于 Musashi RNA 结合蛋白 2 基因(MSI2;cg21139312)和亮氨酰-tRNA 合成酶 2,线粒体基因(LARS2;cg18030453)上,与 BMI 和 WC 均相关。BRDT、PSMD1、IFI44L、MAP1A 和 MAP3K5 上的 CpG 与 BMI 相关。LGALS3BP、MAP2K3、DHCR24、CPSF4L 和 TMEM49 上的 CpG 与 WC 相关。我们报告了 MSI2 和 LARS2 甲基化与肥胖相关特征之间的新关联。这些结果为肥胖相关特征的潜在机制提供了进一步的见解,这可以使肥胖相关慢性疾病的新生物标志物的识别成为可能。

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