首页> 外文期刊>Seminars in Nephrology >Insights to the genetics of diabetic nephropathy through a genome-wide association study of the GoKinD collection.
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Insights to the genetics of diabetic nephropathy through a genome-wide association study of the GoKinD collection.

机译:通过GoKinD集合的全基因组关联研究,了解糖尿病性肾病的遗传学。

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摘要

The Genetics of Kidneys in Diabetes (GoKinD) study was initiated to facilitate research aimed at identifying genes involved in diabetic nephropathy (DN) in type 1 diabetes. In this review, we present an overview of this study and the various reports that have used its collection. At the forefront of these efforts is the recent genome-wide association scan implemented on the GoKinD collection. We highlight the results from our analysis of these data and describe compelling evidence from animal models that further support the potential role of associated loci in the susceptibility of DN. To enhance our analysis of genetic associations in GoKinD, using genome-wide imputation, we expanded our analysis of this collection to include genotype data from more than 2.4 million common single nucleotide polymorphisms. We illustrate the added utility of this enhanced dataset through the comprehensive fine-mapping of candidate genomic regions previously linked with DN and the targeted investigation of genes involved in candidate pathways implicated in its pathogenesis. Collectively, genome-wide association and genome-wide imputation data from the GoKinD collection will serve as a springboard for future investigations into the genetic basis of DN in type 1 diabetes.
机译:启动了糖尿病肾脏遗传学(GoKinD)研究,以促进旨在鉴定与1型糖尿病糖尿病肾病(DN)相关的基因的研究。在这篇评论中,我们提供了这项研究的概述以及使用该研究的各种报告。这些努力的最前沿是最近在GoKinD集合上实施的全基因组关联扫描。我们强调了我们对这些数据的分析结果,并描述了来自动物模型的令人信服的证据,这些证据进一步支持了相关基因座在DN易感性中的潜在作用。为了增强我们对GoKinD中遗传关联的分析,使用全基因组插补,我们扩展了对该集合的分析,以包括来自超过240万个常见单核苷酸多态性的基因型数据。我们通过全面精细映射以前与DN相关的候选基因组区域以及针对涉及其发病机理的候选途径基因的靶向研究,来说明此增强数据集的附加效用。总的来说,来自GoKinD收集的全基因组关联和全基因组估算数据将为将来调查1型糖尿病DN的遗传基础提供跳板。

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