Arvin Shahmoradi , Kimya Ghaderi , Abbas Aghaei , Asaad Azarnezhad
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The Newcastle–Ottawa Scale was used to the assessment of the methodological quality of each study. Meta-regression and subgroup analysis were performed to find the potential sources of heterogeneity.</p></div><div><h3>Results</h3><p>Nine studies consisting of 1618 subjects were included in this study. A protective association for rs1544410 polymorphism under allelic model [OR = 0.597, 95% CI (0.360–0.989), <em>P</em> = 0.045], codominant model [OR = 0.432, 95% CI (0.220–0.851), <em>P</em> = 0.015], and dominant model [OR = 0.460, 95% CI (0.257–0.824), <em>P</em> = 0.009], and a predisposing association under recessive model [OR = 1.607, 95% CI (1.017–2.539), <em>P</em> = 0.042] with T1DM risk was found in selected population. However, no significant associations between rs7975232, rs2228570 and rs731236 and T1DM risk were observed (<em>P</em> > 0.05).</p></div><div><h3>Conclusion</h3><p>The present meta-analysis suggested that rs1544410 polymorphism might be associated with risk of T1DM in the EMRO population.</p></div>","PeriodicalId":38190,"journal":{"name":"Meta Gene","volume":"30 ","pages":"Article 100973"},"PeriodicalIF":0.8000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.mgene.2021.100973","citationCount":"1","resultStr":"{\"title\":\"Associations of vitamin D receptor rs1544410 polymorphism with type 1 diabetes mellitus risk: Systematic review and meta-analysis\",\"authors\":\"Arvin Shahmoradi , Kimya Ghaderi , Abbas Aghaei , Asaad Azarnezhad\",\"doi\":\"10.1016/j.mgene.2021.100973\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>Inconclusive findings on the association of polymorphisms in vitamin D receptors (VDR) with the risk of type 1 diabetes mellitus (T1DM) have been obtained in several studies.</p></div><div><h3>Aim</h3><p>The present meta-analysis was conducted to comprehensively examine the effects of rs7975232, rs1544410, rs2228570, and rs731236 polymorphisms in the VDR gene on the risk of T1DM in the Eastern Mediterranean Region (EMRO) population.</p></div><div><h3>Methods</h3><p>The PubMed, Scopus, Web of Science, and Google Scholar databases were searched for related literature published up to May 2021. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to measure the strength of the associations. The Newcastle–Ottawa Scale was used to the assessment of the methodological quality of each study. Meta-regression and subgroup analysis were performed to find the potential sources of heterogeneity.</p></div><div><h3>Results</h3><p>Nine studies consisting of 1618 subjects were included in this study. A protective association for rs1544410 polymorphism under allelic model [OR = 0.597, 95% CI (0.360–0.989), <em>P</em> = 0.045], codominant model [OR = 0.432, 95% CI (0.220–0.851), <em>P</em> = 0.015], and dominant model [OR = 0.460, 95% CI (0.257–0.824), <em>P</em> = 0.009], and a predisposing association under recessive model [OR = 1.607, 95% CI (1.017–2.539), <em>P</em> = 0.042] with T1DM risk was found in selected population. 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引用次数: 1
摘要
背景维生素D受体(VDR)多态性与1型糖尿病(T1DM)风险之间的相关性已经在一些研究中得到了结论性的发现。目的本荟萃分析旨在全面研究VDR基因rs7975232、rs1544410、rs2228570和rs731236多态性对东地中海地区(EMRO)人群T1DM发病风险的影响。方法检索PubMed、Scopus、Web of Science和b谷歌Scholar数据库,检索截止到2021年5月已发表的相关文献。计算合并优势比(ORs)和95%置信区间(CIs)来衡量这些关联的强度。纽卡斯尔-渥太华量表用于评估每项研究的方法学质量。采用meta回归和亚组分析来寻找潜在的异质性来源。结果共纳入9项研究,共1618名受试者。等位基因模式下rs1544410多态性[OR = 0.597, 95% CI (0.360-0.989), P = 0.045]、共显性模式下[OR = 0.432, 95% CI (0.220-0.851), P = 0.015]、显性模式下[OR = 0.460, 95% CI (0.257-0.824), P = 0.009]和隐性模式下[OR = 1.607, 95% CI (1.017-2.539), P = 0.042]与T1DM风险存在保护性关联。然而,rs7975232、rs2228570和rs731236与T1DM风险之间没有显著关联(P >0.05)。结论本荟萃分析提示rs1544410多态性可能与EMRO人群T1DM风险相关。
Associations of vitamin D receptor rs1544410 polymorphism with type 1 diabetes mellitus risk: Systematic review and meta-analysis
Background
Inconclusive findings on the association of polymorphisms in vitamin D receptors (VDR) with the risk of type 1 diabetes mellitus (T1DM) have been obtained in several studies.
Aim
The present meta-analysis was conducted to comprehensively examine the effects of rs7975232, rs1544410, rs2228570, and rs731236 polymorphisms in the VDR gene on the risk of T1DM in the Eastern Mediterranean Region (EMRO) population.
Methods
The PubMed, Scopus, Web of Science, and Google Scholar databases were searched for related literature published up to May 2021. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to measure the strength of the associations. The Newcastle–Ottawa Scale was used to the assessment of the methodological quality of each study. Meta-regression and subgroup analysis were performed to find the potential sources of heterogeneity.
Results
Nine studies consisting of 1618 subjects were included in this study. A protective association for rs1544410 polymorphism under allelic model [OR = 0.597, 95% CI (0.360–0.989), P = 0.045], codominant model [OR = 0.432, 95% CI (0.220–0.851), P = 0.015], and dominant model [OR = 0.460, 95% CI (0.257–0.824), P = 0.009], and a predisposing association under recessive model [OR = 1.607, 95% CI (1.017–2.539), P = 0.042] with T1DM risk was found in selected population. However, no significant associations between rs7975232, rs2228570 and rs731236 and T1DM risk were observed (P > 0.05).
Conclusion
The present meta-analysis suggested that rs1544410 polymorphism might be associated with risk of T1DM in the EMRO population.
Meta GeneBiochemistry, Genetics and Molecular Biology-Genetics
CiteScore
1.10
自引率
0.00%
发文量
20
期刊介绍:
Meta Gene publishes meta-analysis, polymorphism and population study papers that are relevant to both human and non-human species. Examples include but are not limited to: (Relevant to human specimens): 1Meta-Analysis Papers - statistical reviews of the published literature of human genetic variation (typically linked to medical conditionals and/or congenital diseases) 2Genome Wide Association Studies (GWAS) - examination of large patient cohorts to identify common genetic factors that influence health and disease 3Human Genetics Papers - original studies describing new data on genetic variation in smaller patient populations 4Genetic Case Reports - short communications describing novel and in formative genetic mutations or chromosomal aberrations (e.g., probands) in very small demographic groups (e.g., family or unique ethnic group). (Relevant to non-human specimens): 1Small Genome Papers - Analysis of genetic variation in organelle genomes (e.g., mitochondrial DNA) 2Microbiota Papers - Analysis of microbiological variation through analysis of DNA sequencing in different biological environments 3Ecological Diversity Papers - Geographical distribution of genetic diversity of zoological or botanical species.