{"title":"与 II 型糖尿病、糖尿病视网膜病变和糖尿病肾病有关的基因和遗传变异的元分析","authors":"A.N. Rizza , Nethra Lenin , Yazhini Ramaswamy , Deepak Kumar Sundaramoorthy , Rajiv Raman , Sinnakaruppan Mathavan","doi":"10.1016/j.humgen.2024.201362","DOIUrl":null,"url":null,"abstract":"<div><div>Meta-analysis is a popular technique for aggregating evidence from a variety of similar studies for collective comparison. This paper presents data on genes and genetic variants (SNPs) associated with Type 2 Diabetes Mellitus, Diabetic Retinopathy, and Diabetic Nephropathy. Retinopathy and nephropathy are microvascular diseases that occur as a consequence of long-term diabetes. An overlap of the genes and SNPs revealed only one gene and one SNP to be common among the three diseases. The pathways associated with these diseases showed overlap to a certain extent. In this study, we have pooled all the genes and genetic variants associated with these three diseases and analyzed the overlaps/interactions. Such analyses lead to a better understanding of the disease mechanisms. We have analyzed the data using various tools such as KEGG, GO, and Network Analyst. Several genes were identified that have a significant role in the pathways of all three diseases. <em>EPO</em> is the only gene which was identified to be associated commonly among the three diseases. Among the genetic variants, rs1617640 of the gene <em>EPO</em> is the only common variant among the three diseases. The data cataloged in this paper serves as a genomic resource for diabetes and its associated microvascular diseases and it will also benefit as a resource for scientists working in this area of research.</div></div>","PeriodicalId":29686,"journal":{"name":"Human Gene","volume":"43 ","pages":"Article 201362"},"PeriodicalIF":0.5000,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Meta-analysis of genes and genetic variants implicated in Type II diabetes mellitus, diabetic retinopathy, and diabetic nephropathy\",\"authors\":\"A.N. Rizza , Nethra Lenin , Yazhini Ramaswamy , Deepak Kumar Sundaramoorthy , Rajiv Raman , Sinnakaruppan Mathavan\",\"doi\":\"10.1016/j.humgen.2024.201362\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Meta-analysis is a popular technique for aggregating evidence from a variety of similar studies for collective comparison. This paper presents data on genes and genetic variants (SNPs) associated with Type 2 Diabetes Mellitus, Diabetic Retinopathy, and Diabetic Nephropathy. Retinopathy and nephropathy are microvascular diseases that occur as a consequence of long-term diabetes. An overlap of the genes and SNPs revealed only one gene and one SNP to be common among the three diseases. The pathways associated with these diseases showed overlap to a certain extent. In this study, we have pooled all the genes and genetic variants associated with these three diseases and analyzed the overlaps/interactions. Such analyses lead to a better understanding of the disease mechanisms. We have analyzed the data using various tools such as KEGG, GO, and Network Analyst. Several genes were identified that have a significant role in the pathways of all three diseases. <em>EPO</em> is the only gene which was identified to be associated commonly among the three diseases. Among the genetic variants, rs1617640 of the gene <em>EPO</em> is the only common variant among the three diseases. The data cataloged in this paper serves as a genomic resource for diabetes and its associated microvascular diseases and it will also benefit as a resource for scientists working in this area of research.</div></div>\",\"PeriodicalId\":29686,\"journal\":{\"name\":\"Human Gene\",\"volume\":\"43 \",\"pages\":\"Article 201362\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2024-11-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Human Gene\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2773044124001062\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Gene","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2773044124001062","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
摘要
元分析(Meta-analysis)是一种流行的技术,用于汇总来自各种类似研究的证据,以便进行集体比较。本文介绍了与 2 型糖尿病、糖尿病视网膜病变和糖尿病肾病相关的基因和遗传变异(SNPs)数据。视网膜病变和肾病是长期糖尿病导致的微血管疾病。基因和 SNP 的重叠显示,三种疾病中只有一个基因和一个 SNP 是共同的。与这些疾病相关的通路也有一定程度的重叠。在本研究中,我们汇集了与这三种疾病相关的所有基因和遗传变异,并对其重叠/相互作用进行了分析。这种分析有助于更好地了解疾病的机制。我们使用 KEGG、GO 和 Network Analyst 等多种工具对数据进行了分析。结果发现,有几个基因在这三种疾病的发病途径中都发挥了重要作用。EPO 是唯一一个被确定与三种疾病普遍相关的基因。在基因变异中,EPO 基因的 rs1617640 是三种疾病中唯一常见的变异。本文所收录的数据可作为糖尿病及其相关微血管疾病的基因组资源,也可作为从事该领域研究的科学家的资源。
Meta-analysis of genes and genetic variants implicated in Type II diabetes mellitus, diabetic retinopathy, and diabetic nephropathy
Meta-analysis is a popular technique for aggregating evidence from a variety of similar studies for collective comparison. This paper presents data on genes and genetic variants (SNPs) associated with Type 2 Diabetes Mellitus, Diabetic Retinopathy, and Diabetic Nephropathy. Retinopathy and nephropathy are microvascular diseases that occur as a consequence of long-term diabetes. An overlap of the genes and SNPs revealed only one gene and one SNP to be common among the three diseases. The pathways associated with these diseases showed overlap to a certain extent. In this study, we have pooled all the genes and genetic variants associated with these three diseases and analyzed the overlaps/interactions. Such analyses lead to a better understanding of the disease mechanisms. We have analyzed the data using various tools such as KEGG, GO, and Network Analyst. Several genes were identified that have a significant role in the pathways of all three diseases. EPO is the only gene which was identified to be associated commonly among the three diseases. Among the genetic variants, rs1617640 of the gene EPO is the only common variant among the three diseases. The data cataloged in this paper serves as a genomic resource for diabetes and its associated microvascular diseases and it will also benefit as a resource for scientists working in this area of research.