{"title":"印度的基因变异与 2 型糖尿病：病例对照研究中相关多态性的系统回顾和荟萃分析。","authors":"Lokendra Rathod , Sameera Khan , Sweta Mishra , Deepanker Das , Kaustubh Bora , Swasti Shubham , Samradhi Singh , Manoj Kumar , Rajnarayan R. Tiwari , Archana Tiwari , Pradyumna Kumar Mishra , Devojit Kumar Sarma","doi":"10.1016/j.lansea.2024.100518","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>India, with the largest population and second-highest type 2 diabetes mellitus (T2DM) prevalence, presents a unique genetic landscape. This study explores the genetic profiling of T2DM, aiming to bridge gaps in existing research and provide insights for further explorations.</div></div><div><h3>Methods</h3><div>We conducted a systematic review and meta-analysis of literature published up to September 2024 using databases like PubMed, Web of Science, Scopus, and Google Scholar to identify SNPs associated with T2DM in case–control studies within the Indian population. Data extraction followed a rigorously designed checklist independently verified by two reviewers. The quality of the studies assessed by utilizing Newcastle Ottawa scale, and heterogeneity through Cochran's Q, τ<sup>2</sup>, H<sup>2</sup> and <em>I</em><sup><em>2</em></sup> statistics. Fixed effect and random effect model was employed for meta-analysis based on heterogeneity, and publication bias was assessed by funnel plot analysis, Egger's and Begg's statistical test. In SNPs with adequate studies meta-regression was used to assess source of heterogeneity. Statistical analyses were performed using Stata 18.0 software.</div></div><div><h3>Findings</h3><div>Our search identified 1309 articles, with 67 included in the systematic review and 35 in the meta-analysis. These 67 case–control studies, involving 33,407 cases and 30,762 controls, analyzed 167 SNPs across 61 genes. Of these, 89 SNPs mapped to 46 genes showed significant associations with T2DM risk (<em>P</em> < 0.05), including 67 linked to increased risk and 16 with protective effects. Geographical analysis highlighted inter- and intra-regional variations. Meta-analysis of 25 SNPs revealed 12 SNPs with high T2DM risk compatibility. <em>TCF7L2</em> gene exhibited a strong compatibility with an overall OR of 1.44 (95% CI 1.36–1.52) and <em>S-value</em> 112.41, while <em>TCF7L2</em> variants rs7903146 and rs12255372, with OR 1.56 (95% CI 1.43–1.66) and <em>S-value</em> 89.036, OR of 1.36 (95% CI 1.17–1.35) with an <em>S</em>-<em>value</em> of 15.45 respectively.</div></div><div><h3>Interpretation</h3><div>Our study highlights the importance of considering the diverse ethnic groups of India for development of targeted and effective T2DM management strategies.</div></div><div><h3>Funding</h3><div><span>Department of Biotechnology</span> (DBT) and <span>Indian Council of Medical Research</span> (ICMR), Government of India.</div></div>","PeriodicalId":75136,"journal":{"name":"The Lancet regional health. 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引用次数: 0
摘要
背景：印度人口最多，2型糖尿病（T2DM）患病率第二高，呈现出独特的遗传景观。本研究探讨了T2DM的遗传谱，旨在弥补现有研究的空白，并为进一步探索提供见解。方法：我们使用PubMed、Web of Science、Scopus和谷歌Scholar等数据库，对截至2024年9月发表的文献进行了系统回顾和荟萃分析，以确定印度人群中病例对照研究中与T2DM相关的snp。数据提取遵循严格设计的检查表，由两名审稿人独立验证。采用纽卡斯尔渥太华量表评估研究质量，并通过Cochran's Q、τ2、H2和i2统计量评估异质性。基于异质性，meta分析采用固定效应和随机效应模型，发表偏倚采用漏斗图分析、Egger’s和Begg’s统计检验。在有充分研究的snp中，采用meta回归来评估异质性的来源。采用Stata 18.0软件进行统计学分析。研究结果：我们检索了1309篇文章，其中67篇纳入了系统评价，35篇纳入了荟萃分析。这67项病例对照研究，涉及33,407例病例和30,762例对照，分析了61个基因中的167个snp。其中，89个snp映射到46个基因，与T2DM风险显著相关(P TCF7L2基因与总体OR为1.44 （95% CI 1.36-1.52）和s值112.41表现出很强的兼容性，而TCF7L2变异rs7903146和rs12255372的OR分别为1.56 （95% CI 1.43-1.66）和89.036，OR为1.36 (95% CI 1.17-1.35)， s值为15.45。解释：我们的研究强调了考虑印度不同族群对于制定有针对性和有效的T2DM管理策略的重要性。资助：印度政府生物技术部和印度医学研究委员会。
Genetic variants and type 2 diabetes in India: a systematic review and meta-analysis of associated polymorphisms in case-control studies
Background
India, with the largest population and second-highest type 2 diabetes mellitus (T2DM) prevalence, presents a unique genetic landscape. This study explores the genetic profiling of T2DM, aiming to bridge gaps in existing research and provide insights for further explorations.
Methods
We conducted a systematic review and meta-analysis of literature published up to September 2024 using databases like PubMed, Web of Science, Scopus, and Google Scholar to identify SNPs associated with T2DM in case–control studies within the Indian population. Data extraction followed a rigorously designed checklist independently verified by two reviewers. The quality of the studies assessed by utilizing Newcastle Ottawa scale, and heterogeneity through Cochran's Q, τ2, H2 and I2 statistics. Fixed effect and random effect model was employed for meta-analysis based on heterogeneity, and publication bias was assessed by funnel plot analysis, Egger's and Begg's statistical test. In SNPs with adequate studies meta-regression was used to assess source of heterogeneity. Statistical analyses were performed using Stata 18.0 software.
Findings
Our search identified 1309 articles, with 67 included in the systematic review and 35 in the meta-analysis. These 67 case–control studies, involving 33,407 cases and 30,762 controls, analyzed 167 SNPs across 61 genes. Of these, 89 SNPs mapped to 46 genes showed significant associations with T2DM risk (P < 0.05), including 67 linked to increased risk and 16 with protective effects. Geographical analysis highlighted inter- and intra-regional variations. Meta-analysis of 25 SNPs revealed 12 SNPs with high T2DM risk compatibility. TCF7L2 gene exhibited a strong compatibility with an overall OR of 1.44 (95% CI 1.36–1.52) and S-value 112.41, while TCF7L2 variants rs7903146 and rs12255372, with OR 1.56 (95% CI 1.43–1.66) and S-value 89.036, OR of 1.36 (95% CI 1.17–1.35) with an S-value of 15.45 respectively.
Interpretation
Our study highlights the importance of considering the diverse ethnic groups of India for development of targeted and effective T2DM management strategies.
Funding
Department of Biotechnology (DBT) and Indian Council of Medical Research (ICMR), Government of India.
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