Department of Treatment of Obesity, Metabolic Disorders and Clinical Dietetics, Poznan University of Medical Sciences, 61-701 Poznan, Poland.
Department of Bioinformatics and Computational Biology, Poznan University of Medical Sciences, 61-701 Poznan, Poland.
Genes (Basel). 2022 Aug 26;13(9):1534. doi: 10.3390/genes13091534.
Single nucleotide variants (SNVs) of the gene have been associated with BMI and type 2 diabetes (T2D), suggesting the role of the variation in this gene in metabolic health. To increase our understanding of this relationship, we investigated the association of three SNVs, rs11672660, rs2334255 and rs10423928, with anthropometric measurements, selected metabolic parameters, and the risk of excessive body mass and metabolic syndrome (MS) in the Polish population. Normal-weight subjects ( = 340, control group) and subjects with excessive body mass ( = 600, study group) participated in this study. For all participants, anthropometric measurements and metabolic parameters were collected, and genotyping was performed using the high-resolution melting curve analysis. We did not find a significant association between rs11672660, rs2334255 and rs10423928 variants with the risk of being overweight. Differences in metabolic and anthropometric parameters were found for investigated subgroups. An association between rs11672660 and rs10423928 with MS was identified. Heterozygous CT genotype of rs11672660 and AT genotype of rs10423928 were significantly more frequent in the group with MS (OR = 1.38, 95%CI: 1.03-1.85; = 0.0304 and OR = 1.4, 95%CI: 1.05-1.87; = 0.0222, respectively). Moreover, TT genotype of rs10423928 was less frequent in the MS group (OR = 0.72, 95%CI: 0.54-0.95; = 0.0221).
基因的单核苷酸变异（SNVs）与体重指数和 2 型糖尿病（T2D）有关，这表明该基因变异在代谢健康中的作用。为了增加我们对这种关系的理解，我们研究了三个 SNVs（rs11672660、rs2334255 和 rs10423928）与人体测量学测量、选定的代谢参数以及波兰人群中超重和代谢综合征（MS）风险的关联。正常体重受试者（=340，对照组）和超重受试者（=600，研究组）参加了这项研究。对所有参与者进行了人体测量学测量和代谢参数的收集，并使用高分辨率熔解曲线分析进行了基因分型。我们没有发现 rs11672660、rs2334255 和 rs10423928 变体与超重风险之间存在显著关联。对于研究的亚组，发现了代谢和人体测量参数的差异。确定了 rs11672660 与 rs10423928 与 MS 之间的关联。rs11672660 的杂合 CT 基因型和 rs10423928 的 AT 基因型在 MS 组中明显更为频繁（OR=1.38，95%CI：1.03-1.85；=0.0304 和 OR=1.4，95%CI：1.05-1.87；=0.0222，分别）。此外，MS 组中 rs10423928 的 TT 基因型较少（OR=0.72，95%CI：0.54-0.95；=0.0221）。
