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一种基于阿联酋国家糖尿病研究中表型特征的综合表型-基因型方法,将 鉴定为肥胖和 2 型糖尿病的候选基因。

An Integrative Phenotype-Genotype Approach Using Phenotypic Characteristics from the UAE National Diabetes Study Identifies as a Candidate Gene for Obesity and Type 2 Diabetes.

机构信息

Sharjah Institute for Medical Research, University of Sharjah, Sharjah 27273, UAE.

Department of Clinical Sciences, College of Medicine, University of Sharjah, Sharjah 27272, UAE.

出版信息

Genes (Basel). 2020 Apr 23;11(4):461. doi: 10.3390/genes11040461.

DOI:10.3390/genes11040461
PMID:32340285
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7230604/
Abstract

The United Arab Emirates National Diabetes and Lifestyle Study (UAEDIAB) has identified obesity, hypertension, obstructive sleep apnea, and dyslipidemia as common phenotypic characteristics correlated with diabetes mellitus status. As these phenotypes are usually linked with genetic variants, we hypothesized that these phenotypes share single nucleotide polymorphism (SNP)-clusters that can be used to identify causal genes for diabetes. Materials and We explored the National Human Genome Research Institute-European Bioinformatics Institute Catalog of Published Genome-Wide Association Studies (NHGRI-EBI GWAS) to list SNPs with documented association with the UAEDIAB-phenotypes as well as diabetes. The shared chromosomal regions affected by SNPs were identified, intersected, and searched for Enriched Ontology Clustering. The potential SNP-clusters were validated using targeted DNA next-generation sequencing (NGS) in two Emirati diabetic patients. RNA sequencing from human pancreatic islets was used to study the expression of identified genes in diabetic and non-diabetic donors. Eight chromosomal regions containing 46 SNPs were identified in at least four out of the five UAEDIAB-phenotypes. A list of 34 genes was shown to be affected by those SNPs. Targeted NGS from two Emirati patients confirmed that the identified genes have similar SNP-clusters. , and genes showed the highest SNPs rate among the identified genes. RNA-seq analysis revealed high expression levels of in human islets and to be upregulated in type 2 diabetes (T2D) donors. Our integrative phenotype-genotype approach is a novel, simple, and powerful tool to identify clinically relevant potential biomarkers in diabetes. is a novel candidate gene for pancreatic β-cell function.

摘要

阿拉伯联合酋长国国家糖尿病和生活方式研究 (UAEDIAB) 已经确定肥胖症、高血压、阻塞性睡眠呼吸暂停和血脂异常是与糖尿病状态相关的常见表型特征。由于这些表型通常与遗传变异有关,我们假设这些表型共享单核苷酸多态性 (SNP) 簇,可以用于鉴定糖尿病的因果基因。

我们探索了国立人类基因组研究所-欧洲生物信息学研究所公布的全基因组关联研究目录 (NHGRI-EBI GWAS),以列出与 UAEDIAB 表型以及糖尿病相关的有文献记载的 SNP。确定受 SNP 影响的共享染色体区域,进行交叉,并搜索富集的本体聚类。使用两名阿联酋糖尿病患者的靶向 DNA 下一代测序 (NGS) 验证潜在的 SNP 簇。使用来自人类胰腺胰岛的 RNA 测序来研究鉴定基因在糖尿病和非糖尿病供体中的表达。在至少四个五个 UAEDIAB 表型中确定了包含 46 个 SNP 的八个染色体区域。显示 34 个基因受到这些 SNP 的影响。来自两名阿联酋患者的靶向 NGS 证实,鉴定的基因具有相似的 SNP 簇。 在鉴定的基因中, 、 和 基因的 SNP 率最高。RNA-seq 分析显示, 在人胰岛中表达水平较高,并在 2 型糖尿病 (T2D) 供体中上调。我们的综合表型 - 基因型方法是一种新颖、简单、强大的工具,可用于鉴定糖尿病中具有临床相关性的潜在生物标志物。 是胰腺 β 细胞功能的新候选基因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfe1/7230604/3f18d9ec4c9f/genes-11-00461-g004.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfe1/7230604/95e5097df44d/genes-11-00461-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfe1/7230604/8583276ee94d/genes-11-00461-g002.jpg
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