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包括外显子芯片标记物和 2 型糖尿病代谢物特征的遗传变异。

Genetic variants including markers from the exome chip and metabolite traits of type 2 diabetes.

机构信息

Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.

German Center for Diabetes Research (DZD), Neuherberg, Germany.

出版信息

Sci Rep. 2017 Jul 20;7(1):6037. doi: 10.1038/s41598-017-06158-3.

DOI:10.1038/s41598-017-06158-3
PMID:28729637
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5519666/
Abstract

Diabetes-associated metabolites may aid the identification of new risk variants for type 2 diabetes. Using targeted metabolomics within a subsample of the German EPIC-Potsdam study (n = 2500), we tested previously published SNPs for their association with diabetes-associated metabolites and conducted an additional exploratory analysis using data from the exome chip including replication within 2,692 individuals from the German KORA F4 study. We identified a total of 16 loci associated with diabetes-related metabolite traits, including one novel association between rs499974 (MOGAT2) and a diacyl-phosphatidylcholine ratio (PC aa C40:5/PC aa C38:5). Gene-based tests on all exome chip variants revealed associations between GFRAL and PC aa C42:1/PC aa C42:0, BIN1 and SM (OH) C22:2/SM C18:0 and TFRC and SM (OH) C22:2/SM C16:1). Selecting variants for gene-based tests based on functional annotation identified one additional association between OR51Q1 and hexoses. Among single genetic variants consistently associated with diabetes-related metabolites, two (rs174550 (FADS1), rs3204953 (REV3L)) were significantly associated with type 2 diabetes in large-scale meta-analysis for type 2 diabetes. In conclusion, we identified a novel metabolite locus in single variant analyses and four genes within gene-based tests and confirmed two previously known mGWAS loci which might be relevant for the risk of type 2 diabetes.

摘要

与糖尿病相关的代谢物可能有助于鉴定 2 型糖尿病的新风险变异。在德国 EPIC-Potsdam 研究的一个亚组样本(n=2500)中使用靶向代谢组学,我们测试了之前发表的 SNP 与糖尿病相关代谢物的关联,并使用包括德国 KORA F4 研究 2692 名个体在内的外显子芯片数据进行了额外的探索性分析,结果在该研究中得到了复制。我们总共鉴定出了 16 个与糖尿病相关代谢物特征相关的基因座,包括 rs499974(MOGAT2)与二酰基磷脂酰胆碱比(PC aa C40:5/PC aa C38:5)之间的一个新关联。在外显子芯片所有变体的基因座测试中,发现 GFRAL 与 PC aa C42:1/PC aa C42:0、BIN1 和 SM(OH)C22:2/SM C18:0 以及 TFRC 和 SM(OH)C22:2/SM C16:1 之间存在关联。基于功能注释选择基因座测试变体时,鉴定出了 OR51Q1 与己糖之间的另一个关联。在与糖尿病相关代谢物一致相关的单遗传变体中,两个变体(rs174550(FADS1)、rs3204953(REV3L))在 2 型糖尿病的大规模荟萃分析中与 2 型糖尿病显著相关。总之,我们在单变体分析中鉴定出了一个新的代谢物基因座和基因座测试中的四个基因,并证实了两个先前已知的 mGWAS 基因座可能与 2 型糖尿病的风险相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c88d/5519666/060669de7412/41598_2017_6158_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c88d/5519666/e70330923274/41598_2017_6158_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c88d/5519666/060669de7412/41598_2017_6158_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c88d/5519666/e70330923274/41598_2017_6158_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c88d/5519666/060669de7412/41598_2017_6158_Fig2_HTML.jpg

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