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利用全基因组基因关联分析鉴定与 1 型糖尿病相关的新风险基因。

Identification of novel risk genes associated with type 1 diabetes mellitus using a genome-wide gene-based association analysis.

机构信息

Center for Genetic Epidemiology and Genomics, School of Public Health, Soochow University Suzhou, Jiangsu, China ; Department of Epidemiology, School of Public Health, Soochow University Suzhou, Jiangsu, China.

出版信息

J Diabetes Investig. 2014 Nov;5(6):649-56. doi: 10.1111/jdi.12228. Epub 2014 Apr 2.

Abstract

AIMS/INTRODUCTION: Type 1 diabetes mellitus is a serious disorder characterized by destruction of pancreatic β-cells, culminating in absolute insulin deficiency. Genetic factors contribute to the susceptibility of type 1 diabetes mellitus. The aim of the present study was to identify more susceptibility genes of type 1 diabetes mellitus.

MATERIALS AND METHODS

We carried out an initial gene-based genome-wide association study in a total of 4,075 type 1 diabetes mellitus cases and 2,604 controls by using the Gene-based Association Test using Extended Simes procedure. Furthermore, we carried out replication studies, differential expression analysis and functional annotation clustering analysis to support the significance of the identified susceptibility genes.

RESULTS

We identified 452 genes associated with type 1 diabetes mellitus, even after adapting the genome-wide threshold for significance (P < 9.05E-04). Among these genes, 171 were newly identified for type 1 diabetes mellitus, which were ignored in single-nucleotide polymorphism-based association analysis and were not previously reported. We found that 53 genes have supportive evidence from replication studies and/or differential expression studies. In particular, seven genes including four non-human leukocyte antigen (HLA) genes (RASIP1, STRN4, BCAR1 and MYL2) are replicated in at least one independent population and also differentially expressed in peripheral blood mononuclear cells or monocytes. Furthermore, the associated genes tend to enrich in immune-related pathways or Gene Ontology project terms.

CONCLUSIONS

The present results suggest the high power of gene-based association analysis in detecting disease-susceptibility genes. Our findings provide more insights into the genetic basis of type 1 diabetes mellitus.

摘要

目的/引言:1 型糖尿病是一种严重的疾病,其特征是胰岛 β 细胞破坏,导致绝对胰岛素缺乏。遗传因素导致 1 型糖尿病的易感性。本研究的目的是确定更多的 1 型糖尿病易感基因。

材料和方法

我们通过使用基于基因的关联测试扩展 Simes 程序,对总共 4075 例 1 型糖尿病病例和 2604 例对照进行了初步的基于基因的全基因组关联研究。此外,我们进行了复制研究、差异表达分析和功能注释聚类分析,以支持鉴定的易感基因的意义。

结果

我们确定了 452 个与 1 型糖尿病相关的基因,即使在适应全基因组显著性阈值(P<9.05E-04)后也是如此。在这些基因中,有 171 个是新发现的与 1 型糖尿病相关的基因,它们在基于单核苷酸多态性的关联分析中被忽略,并且以前没有报道过。我们发现,有 53 个基因有来自复制研究和/或差异表达研究的支持证据。特别是,包括四个非人类白细胞抗原(HLA)基因(RASIP1、STRN4、BCAR1 和 MYL2)在内的七个基因在至少一个独立人群中得到了复制,并且在外周血单核细胞或单核细胞中差异表达。此外,相关基因倾向于富集在免疫相关途径或基因本体论项目术语中。

结论

本研究结果表明,基于基因的关联分析在检测疾病易感基因方面具有很高的效能。我们的发现为 1 型糖尿病的遗传基础提供了更深入的了解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccbc/4234227/95c5e792a297/jdi0005-0649-f1.jpg

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