Zeng Qiaoli, Zou Dehua, Zeng Qiaodi, Chen Xiaoming, Wei Yue, Guo Runmin
Department of Internal Medicine, Shunde Women and Children's Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China.
Key Laboratory of Research in Maternal and Child Medicine and Birth Defects, Guangdong Medical University, Foshan, China.
Front Genet. 2021 Nov 22;12:774489. doi: 10.3389/fgene.2021.774489. eCollection 2021.
Insulin-like growth factor-1 (IGF-1) has been demonstrated to increase fatty acid oxidation during fasting, and play an important role in regulating lipid metabolism and type 2 diabetes mellitus (T2DM). The rs35767 (T > C) polymorphism, a functional SNP was found in promoter, which may directly affect expression. However, the inconsistent findings showed on the rs35767 polymorphism and T2DM risk. We performed a comprehensive meta-analysis to estimate the association between the rs35767 and T2DM risk among four genetic models (the allele, additive, recessive and dominant models). A total 49,587 T2DM cases and 97,906 NDM controls were included in the allele model, a total 2256 T2DM cases and 2228 NDM controls were included in the other three genetic models (the additive; recessive and dominant models). In overall analysis, the rs35767 was shown to be significantly associated with increased T2DM risk for the allele model (T vs. C: OR = 1.251, 95% CI: 1.082-1.447, = 0.002), additive model (homozygote comparisons: TT vs. CC: OR = 2.433, 95% CI: 1.095-5.405, = 0.029; heterozygote comparisons: TC vs. CC: OR = 1.623, 95% CI: 1.055-2.495, = 0.027) and dominant model (TT + CT vs. CC: OR = 1.934, 95% CI: 1.148-3.257, = 0.013) with random effects model. After omitting Gouda's study could reduce the heterogeneity, especially in the recessive model (TT vs. CC + CT: I = 38.7%, = 0.163), the fixed effects model for recessive effect of the T allele (TT vs. CC + CT) produce results that were of borderline statistical significance (OR = 1.206, 95% CI: 1.004-1.448, = 0.045). And increasing the risk of T2DM in Uyghur population of subgroup for the allele model. The initial analyses that included all studies showed statistically significant associations between the rs35767 SNP and type 2 diabetes, but after removing the Gouda et al. study produced results that were mostly not statistically significant. Therefore, there is not enough evidence from the results of the meta-analysis to indicate that the rs35767 SNP has a statistically significant association with type 2 diabetes.
胰岛素样生长因子-1(IGF-1)已被证明在禁食期间可增加脂肪酸氧化,并在调节脂质代谢和2型糖尿病(T2DM)中发挥重要作用。rs35767(T>C)多态性是在启动子中发现的一个功能性单核苷酸多态性(SNP),它可能直接影响表达。然而,关于rs35767多态性与T2DM风险的研究结果并不一致。我们进行了一项全面的荟萃分析,以评估rs35767与四种遗传模型(等位基因、加性、隐性和显性模型)中T2DM风险之间的关联。在等位基因模型中,共纳入了49587例T2DM病例和97906例非糖尿病(NDM)对照;在其他三种遗传模型(加性、隐性和显性模型)中,共纳入了2256例T2DM病例和2228例NDM对照。在总体分析中,对于等位基因模型(T与C相比:OR = 1.251,95%CI:1.082 - 1.447,P = 0.002)、加性模型(纯合子比较:TT与CC相比:OR = 2.433,95%CI:1.095 - 5.405,P = 0.029;杂合子比较:TC与CC相比:OR = 1.623,95%CI:1.055 - 2.495,P = 0.027)和显性模型(TT + CT与CC相比:OR = 1.934,95%CI:1.148 - 3.257,P = 0.013),采用随机效应模型显示rs35767与T2DM风险增加显著相关。剔除Gouda的研究后可降低异质性,尤其是在隐性模型中(TT与CC + CT相比:I² = 38.7%,P = 0.163),T等位基因隐性效应的固定效应模型(TT与CC + CT相比)产生的结果具有边缘统计学意义(OR = 1.206,95%CI:1.004 - 1.448,P = 0.045)。并且在亚组维吾尔族人群的等位基因模型中增加了T2DM风险。最初纳入所有研究的分析显示rs35767 SNP与2型糖尿病之间存在统计学显著关联,但剔除Gouda等人的研究后产生的结果大多无统计学意义。因此,荟萃分析结果没有足够证据表明rs35767 SNP与2型糖尿病存在统计学显著关联。