ANRIL长链非编码RNA基因rs564398多态性与2型糖尿病风险的遗传关联:一项荟萃分析

IF 0.8 Q4 GENETICS & HEREDITY Meta Gene Pub Date : 2022-02-01 DOI:10.1016/j.mgene.2021.100997
M.N. Ammar , L. Lipovich , T.P. Shkurat , R.M. Ali
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引用次数: 0

摘要

INK4位点上的反义非编码RNA (ANRIL)是位于9p21染色体上细胞周期蛋白依赖性激酶抑制剂- 2a /B (CDKN2A/B)编码基因内的长非编码转录物,并且是反义的。最近的证据表明,CDKN2A/B基因座是2型糖尿病(T2D)发生的一个致病候选者。然而,迄今为止,关于T2D与CDKN2A/B位点ANRIL区域遗传变异之间统计关联的具体信息仍然是模棱两可的。为了澄清这一差异,我们基于rs564398多态性的基因型患病率和等位基因频率(T >C)多民族人群中ANRIL基因的差异。本研究的主要目的是对2007年至2018年发表的数据进行系统回顾和荟萃分析,以确定ANRIL基因的rs564398多态性是否在T2D易感性中发挥潜在作用,并评估这种关联的强度、准确性和特征。我们系统地回顾了1990年至2021年间发表的数据库中的研究。共收集202篇文献,其中9篇文献中仅有13篇研究(包括13510例病例和18231例对照)符合纳入标准,入选统计荟萃分析。在当前的荟萃分析中,我们通过对已经分析的研究进行重复分析来研究所选SNP rs564398与T2D易感性之间的潜在关联,并通过添加2012年以后发表的新文章来扩展我们的结果,并在之前的荟萃分析中未被审查,以形成我们自己关于这种关联性质的结论。与其他基因座的研究相比,我们强调了不同种族之间风险等位基因和基因型影响的差异。Ourmeta-analysis表明rs564398[(或1.01,95% CI [0.92, 1.12], P = 0.79)的主要模型/((或1.03,95%可信区间[0.91,1.17],P = 0.64)的隐性模型/((或1.00,95%可信区间[0.91,1.09],P = 0.93)的添加剂(TC和TT)模型]/[(或1.00,95%可信区间[0.92,1.08],P = 0.96)的添加剂(TC和CC)模型]/[(或1.02,95%可信区间[0.94,1.11],P = 0.61)的等位基因(C和T)模型)并不是与T2D整体的发展。然而,结果也显示在纳入研究的一些人群中有轻微的关联。虽然我们的结果表明缺乏相关性,但需要更广泛的、更大样本量和混合种族的研究来提供更可靠的估计,以证实rs564398与T2D之间的相关性。确定rs564398对T2D病理生理影响的推定分子机制似乎是有必要的。
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Genetic association of rs564398 polymorphism of the ANRIL long non-coding RNA gene and risk of type 2 diabetes: A meta-analysis

Antisense non-coding RNA at the INK4 locus (ANRIL) is a long non-coding transcript localized within, and antisense to, the genes encoding the cyclin-dependent kinase inhibitor-2A/B (CDKN2A/B) on chromosome 9p21. Recent evidence implicates the CDKN2A/B locus as a causal candidate for developing type 2 diabetes mellitus (T2D). However, aggregate published information to date regarding the specifics of the statistical association between T2D and the genetic variants in the ANRIL region of the CDKN2A/B locus remains equivocal and ambiguous. To clarify this discrepancy, we performed a meta-analysis based on the genotype prevalence and allele frequency of the rs564398 polymorphism (T > C) in ANRIL gene in multiple ethnic populations. The main goal of this work was to conduct a systematic review with a meta-analysis of published data between 2007 and 2018 to determine whether the rs564398 polymorphism of ANRIL gene plays a potential role in predisposition to T2D, also to evaluate the strength, accuracy, and features of this association. We have systematically reviewed studies from databases published between 1990 and 2021. A total of 202 articles were collected, of which only 13 studies from 9 articles (including 13,510 cases and 18,231 controls) met the inclusion criteria and were selected for the statistical meta-analysis. In the present meta-analysis, we have investigated the potential associations between the selected SNP rs564398 and the predisposition to develop T2D, by conducting replicated analysis of already analyzed studies looked for this association, and expand our results by adding new articles published after 2012 and have not been reviewed in a previous meta-analysis, to form our own conclusion about the nature of this association. In contrast to other studies of the locus, we emphasized the differences of risk alleles and genotype influence among different ethnic groups. Ourmeta-analysis indicated that rs564398 [(OR 1.01, 95% CI [0.92, 1.12], P = 0.79) in the dominant model/ [(OR 1.03, 95% CI [0.91, 1.17], P = 0.64) in the recessive model/[(OR 1.00, 95% CI [0.91, 1.09], P = 0.93) in the additive (TC Vs. TT) model]/[(OR 1.00, 95% CI [0.92, 1.08], P = 0.96) in the additive (TC Vs. CC) model]/[(OR 1.02, 95% CI [0.94, 1.11], P = 0.61) in the allelic (C Vs. T) model] is not associated with the development of T2D overall. However, results also revealed slight association in some populations of the included studies. Although our results indicated a lack of association, more extensive studies with larger sample sizes and mixed ethnic groups are necessary to provide a more reliable estimation to confirm the association between rs564398 and T2D. Defining a putative molecular mechanism of rs564398 influence in the pathophysiology of T2D appears warranted.

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来源期刊
Meta Gene
Meta Gene Biochemistry, 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.
期刊最新文献
Severity of coronavirus disease 19: Profile of inflammatory markers and ACE (rs4646994) and ACE2 (rs2285666) gene polymorphisms in Iraqi patients MicroRNAs based regulation of cytokine regulating immune expressed genes and their transcription factors in COVID-19 Interleukin-37 gene polymorphism and susceptibility to coronavirus disease 19 among Iraqi patients Is there any relationship between serum zinc levels and angiotensin-converting enzyme 2 gene expression in patients with coronavirus disease 2019? Genetic analysis of IL4 (rs2070874), IL17A (rs2275913), and IL33 (rs7044343) polymorphisms in Iraqi multiple sclerosis patients by using T-plex real-time PCR method
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