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鉴定 2 型糖尿病、儿童肥胖及其多效性位点的新型遗传变异。

Identification of novel genetic variants for type 2 diabetes, childhood obesity, and their pleiotropic loci.

机构信息

Department of Endocrinology and Metabolism, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.

Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.

出版信息

J Hum Genet. 2019 May;64(5):369-377. doi: 10.1038/s10038-019-0577-5. Epub 2019 Feb 28.

Abstract

Obesity has result in increased prevalence of type 2 diabetes (T2D) in children. The genetic mechanisms underlying their relationship, however, are not fully understood. Here, we aim to identify novel SNPs associated with T2D and childhood obesity (CO), especially their pleiotropic loci. We integrated the summary statistics for two independent GWASs of T2D (n = 149,821) and childhood body mass index (CBMI) (n = 35,668) using the pleiotropy-informed conditional false discovery rate (cFDR) method. By leveraging the information of different levels of association for CBMI, we observed a strong enrichment of genetic variants associated with T2D. We identified 139 T2D-associated SNPs with 125 novel ones (cFDR < 0.05). Conditioned on T2D, we identified 37 significant SNPs for CBMI (cFDR < 0.05), including 25 novel ones. The conjunctional cFDR (ccFDR) analysis showed ten novel pleiotropic loci for T2D and CBMI (ccFDR < 0.05). Interestingly, the novel SNP rs1996023 is located at protein coding gene GNPDA2 (ccFDR = 1.28E-02), which has been reported to influence the risk of T2D and CO through central nervous system. Our findings may help to explain a greater proportion of the heritability for human traits and advance the understanding of the common pathophysiology between T2D and CO.

摘要

肥胖导致 2 型糖尿病(T2D)在儿童中的发病率增加。然而,其相关的遗传机制尚不完全清楚。在这里,我们旨在确定与 T2D 和儿童肥胖(CO)相关的新 SNP,特别是它们的多效性位点。我们使用基于多效性信息的条件虚假发现率(cFDR)方法,整合了两项独立的 T2D 全基因组关联研究(GWAS)(n=149821)和儿童体重指数(CBMI)(n=35668)的汇总统计数据。通过利用 CBMI 关联的不同水平的信息,我们观察到与 T2D 相关的遗传变异的强烈富集。我们确定了 139 个与 T2D 相关的 SNP,其中 125 个是新的(cFDR<0.05)。在 T2D 的条件下,我们确定了 37 个与 CBMI 相关的显著 SNP(cFDR<0.05),其中包括 25 个新的 SNP。联合 cFDR(ccFDR)分析显示,有 10 个新的 T2D 和 CBMI 的多效性位点(ccFDR<0.05)。有趣的是,新的 SNP rs1996023 位于编码蛋白的基因 GNPDA2 中(ccFDR=1.28E-02),该基因已被报道通过中枢神经系统影响 T2D 和 CO 的风险。我们的发现可能有助于解释人类特征遗传率的更大比例,并深入了解 T2D 和 CO 之间的共同病理生理学。

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