Insights to the genetics of diabetic nephropathy through a genome-wide association study of the GoKinD collection.
Insights to the genetics of diabetic nephropathy through a genome-wide association study of the GoKinD collection.
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DOI：
10.1016/j.semnephrol.2010.01.004
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发表时间：
2010-03
影响因子：
3.3
通讯作者：
Krolewski, Andrzej S.
中科院分区：
文献类型：
--
作者：
Pezzolesi, Marcus G.;Skupien, Jan;Mychaleckyj, Josyf C.;Warram, James H.;Krolewski, Andrzej S.
糖尿病肾脏遗传学（GoKinD）研究的启动是为了促进旨在确定1型糖尿病（T1D）糖尿病肾病（DN）相关基因的研究。在这篇综述中，我们介绍了这项研究的概述和利用其收集的各种报告。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（GWA）扫描。我们强调了这些数据分析的结果，并描述了来自动物模型的令人信服的证据，进一步支持相关基因座在DN易感性中的潜在作用。为了加强我们对GoKinD遗传关联的分析，使用全基因组插补（GWI），我们扩展了对该集合的分析，以包括来自240多万个常见SNP的基因型数据。我们通过先前与DN相关的候选基因组区域的全面精细映射和参与其发病机制的候选途径中涉及的基因的靶向调查来说明这种增强的数据集的附加效用。总的来说，来自GoKinD收集的GWA和GWI数据将作为未来研究T1D中DN遗传基础的跳板。
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 (T1D). In this review, we present on overview of this study and the various reports that have utilized its collection. At the forefront of these efforts is the recent genome-wide association (GWA) 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 (GWI), we expanded our analysis of this collection to include genotype data from more than 2.4 million common SNPs. 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 pathway implicated in its pathogenesis. Collectively, GWA and GWI data from the GoKinD collection will serve as a springboard for future investigations into the genetic basis of DN in T1D.
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影响因子：
7.7
作者：
Rogus, John J.;Poznik, G. David;Pezzolesi, Marcus G.;Smiles, Adam M.;Dunn, Jonathon;Walker, William;Wanic, Krzysztof;Moczulski, Dariusz;Canani, Luis;Araki, Shinichi;Makita, Yuichiro;Warram, James H.;Krolewski, Andrzej S.
通讯作者：
Krolewski, Andrzej S.
影响因子：
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作者：
Bowden, DW;Colicigno, CJ;Freedman, BI
通讯作者：
Freedman, BI
影响因子：
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作者：
Leak TS;Perlegas PS;Smith SG;Keene KL;Hicks PJ;Langefeld CD;Mychaleckyj JC;Rich SS;Kirk JK;Freedman BI;Bowden DW;Sale MM
通讯作者：
Sale MM
影响因子：
19.6
作者：
Bondeva, Tzvetanka;Ruester, Christiane;Wolf, Gunter
通讯作者：
Wolf, Gunter
影响因子：
12.8
作者：
Nolan, Vikki G.;Ma, Qianli;Steinberg, Martin H.
通讯作者：
Steinberg, Martin H.