AUTHOR=Zeng Qiaoli , Zou Dehua , Zeng Qiaodi , Chen Xiaoming , Wei Yue , Guo Runmin 

TITLE=Association Between Insulin-like Growth Factor-1 rs35767 Polymorphism and Type 2 Diabetes Mellitus Susceptibility: A Meta-Analysis

JOURNAL=Frontiers in Genetics

VOLUME=12

YEAR=2021

URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2021.774489

DOI=10.3389/fgene.2021.774489

ISSN=1664-8021

ABSTRACT=<p><bold>Background:</bold> Insulin-like growth factor-1 (IGF-1) has been demonstrated to increase fatty acid <italic>β</italic> oxidation during fasting, and play an important role in regulating lipid metabolism and type 2 diabetes mellitus (T2DM). The rs35767 (T &gt; C) polymorphism, a functional SNP was found in <italic>IGF-1</italic> promoter, which may directly affect <italic>IGF-1</italic> expression. However, the inconsistent findings showed on the <italic>IGF-1</italic> rs35767 polymorphism and T2DM risk.</p><p><bold>Methods:</bold> We performed a comprehensive meta-analysis to estimate the association between the <italic>IGF-1</italic> rs35767 and T2DM risk among four genetic models (the allele, additive, recessive and dominant models).</p><p><bold>Results:</bold> 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 <italic>IGF-1</italic> 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, <italic>p</italic> = 0.002), additive model (homozygote comparisons: TT vs. CC: OR = 2.433, 95% CI: 1.095–5.405, <italic>p</italic> = 0.029; heterozygote comparisons: TC vs. CC: OR = 1.623, 95% CI: 1.055–2.495, <italic>p</italic> = 0.027) and dominant model (TT + CT vs. CC: OR = 1.934, 95% CI: 1.148–3.257, <italic>p</italic> = 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<sup>2</sup> = 38.7%, <italic>p</italic> = 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, <italic>p</italic> = 0.045). And increasing the risk of T2DM in Uyghur population of subgroup for the allele model.</p><p><bold>Conclusion:</bold> 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.</p>