Associations between VMAT1 Polymorphisms and Obesity.

IF 1.6 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Shahryar Azizi, Maryam Dadyar, Solat Eslami, Bashdar Mahmud Hussen, Arezou Sayad, Soudeh Ghafouri-Fard
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引用次数: 0

Abstract

Obesity is a multifactorial disorder with a significant genetic component. Variants within the VMAT1 gene have been proposed to influence susceptibility to obesity. This study aimed to assess the association of two single-nucleotide polymorphisms (SNPs), rs2270637 and rs1390938, within VMAT1 with obesity risk in an Iranian population undergoing sleeve gastrectomy. A number of obese patients selected for sleeve gastrectomy were genotyped for rs2270637 and rs1390938. Genotype and allele frequencies were compared using logistic regression under different genetic models (allelic, co-dominant, and recessive). Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to assess the strength of associations. The rs1390938 SNP showed a significant association with obesity in the allelic model, with the A allele conferring protection against obesity (OR = 0.70, 95% CI 0.55-0.88, P = 0.003). In the co-dominant model, individuals with the AA genotype had a significantly reduced risk of obesity compared to those with the GG genotype (OR = 0.20, 95% CI 0.092-0.43, P = 0.000058). Similarly, in the recessive model, the AA genotype remained protective (OR = 0.21, 95% CI 0.099-0.46, P = 0.000087). The rs2270637 SNP also showed significant associations with obesity in co-dominant and recessive models. The GG genotype was protective compared to the CC genotype (OR = 0.11, 95% CI 0.034-0.41, P = 0.001) and compared to the combined GC + CC genotypes (OR = 0.11, 95% CI 0.034-0.40, P = 0.001). Both rs1390938 and rs2270637 polymorphisms in the VMAT1 gene are significantly associated with obesity risk in the studied Iranian cohort. The findings support the role of VMAT1 as a potential genetic susceptibility locus for obesity.

VMAT1多态性与肥胖的关系
肥胖是一种多因素疾病,具有重要的遗传成分。VMAT1基因的变异被认为会影响肥胖的易感性。本研究旨在评估VMAT1中rs2270637和rs1390938两个单核苷酸多态性(snp)与接受袖式胃切除术的伊朗人群中肥胖风险的关系。许多选择进行袖胃切除术的肥胖患者被分型为rs2270637和rs1390938。采用logistic回归对不同遗传模型(等位基因、共显性和隐性)下的基因型和等位基因频率进行比较。计算比值比(ORs)和95%置信区间(CIs)来评估关联的强度。在等位基因模型中,rs1390938 SNP与肥胖显著相关,其中a等位基因对肥胖具有保护作用(OR = 0.70, 95% CI 0.55-0.88, P = 0.003)。在共显性模型中,AA基因型个体的肥胖风险显著低于GG基因型个体(OR = 0.20, 95% CI 0.092-0.43, P = 0.000058)。同样,在隐性模型中,AA基因型仍然具有保护作用(OR = 0.21, 95% CI 0.099 ~ 0.46, P = 0.000087)。rs2270637 SNP在共显性和隐性模型中也显示出与肥胖的显著关联。与CC基因型相比,GG基因型具有保护作用(OR = 0.11, 95% CI 0.034-0.41, P = 0.001),与GC + CC联合基因型相比,GG基因型具有保护作用(OR = 0.11, 95% CI 0.034-0.40, P = 0.001)。在研究的伊朗队列中,VMAT1基因的rs1390938和rs2270637多态性与肥胖风险显著相关。这些发现支持了VMAT1作为肥胖的潜在遗传易感性位点的作用。
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来源期刊
Biochemical Genetics
Biochemical Genetics 生物-生化与分子生物学
CiteScore
3.90
自引率
0.00%
发文量
133
审稿时长
4.8 months
期刊介绍: Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.
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