Association Between Insulin-like Growth Factor-1 rs35767 Polymorphism and Type 2 Diabetes Mellitus Susceptibility: A Meta-Analysis
Background: Insulin-like growth factor-1 (IGF-1) has been demonstrated to increase fatty acid β 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 IGF-1 promot...
Guardado en:
| Autores principales: | , , , , , |
|---|---|
| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Frontiers Media S.A.
2021
|
| Materias: | |
| Acceso en línea: | https://doaj.org/article/e10fbcdb414547138f03ba580fe11dff |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| id |
oai:doaj.org-article:e10fbcdb414547138f03ba580fe11dff |
|---|---|
| record_format |
dspace |
| spelling |
oai:doaj.org-article:e10fbcdb414547138f03ba580fe11dff2021-11-22T07:20:39ZAssociation Between Insulin-like Growth Factor-1 rs35767 Polymorphism and Type 2 Diabetes Mellitus Susceptibility: A Meta-Analysis1664-802110.3389/fgene.2021.774489https://doaj.org/article/e10fbcdb414547138f03ba580fe11dff2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fgene.2021.774489/fullhttps://doaj.org/toc/1664-8021Background: Insulin-like growth factor-1 (IGF-1) has been demonstrated to increase fatty acid β 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 IGF-1 promoter, which may directly affect IGF-1 expression. However, the inconsistent findings showed on the IGF-1 rs35767 polymorphism and T2DM risk.Methods: We performed a comprehensive meta-analysis to estimate the association between the IGF-1 rs35767 and T2DM risk among four genetic models (the allele, additive, recessive and dominant models).Results: 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 IGF-1 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, p = 0.002), additive model (homozygote comparisons: TT vs. CC: OR = 2.433, 95% CI: 1.095–5.405, p = 0.029; heterozygote comparisons: TC vs. CC: OR = 1.623, 95% CI: 1.055–2.495, p = 0.027) and dominant model (TT + CT vs. CC: OR = 1.934, 95% CI: 1.148–3.257, p = 0.013) with random effects model. After omitting Gouda’s study could reduce the heterogeneity, especially in the recessive model (TT vs. CC + CT: I2 = 38.7%, p = 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, p = 0.045). And increasing the risk of T2DM in Uyghur population of subgroup for the allele model.Conclusion: 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.Qiaoli ZengQiaoli ZengQiaoli ZengDehua ZouDehua ZouDehua ZouQiaodi ZengXiaoming ChenYue WeiRunmin GuoRunmin GuoRunmin GuoRunmin GuoFrontiers Media S.A.articletype 2 diabete mellitusinsulin-like growth factor-1rs35767susceptibilitymeta-analysisGeneticsQH426-470ENFrontiers in Genetics, Vol 12 (2021) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
type 2 diabete mellitus insulin-like growth factor-1 rs35767 susceptibility meta-analysis Genetics QH426-470 |
| spellingShingle |
type 2 diabete mellitus insulin-like growth factor-1 rs35767 susceptibility meta-analysis Genetics QH426-470 Qiaoli Zeng Qiaoli Zeng Qiaoli Zeng Dehua Zou Dehua Zou Dehua Zou Qiaodi Zeng Xiaoming Chen Yue Wei Runmin Guo Runmin Guo Runmin Guo Runmin Guo Association Between Insulin-like Growth Factor-1 rs35767 Polymorphism and Type 2 Diabetes Mellitus Susceptibility: A Meta-Analysis |
| description |
Background: Insulin-like growth factor-1 (IGF-1) has been demonstrated to increase fatty acid β 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 IGF-1 promoter, which may directly affect IGF-1 expression. However, the inconsistent findings showed on the IGF-1 rs35767 polymorphism and T2DM risk.Methods: We performed a comprehensive meta-analysis to estimate the association between the IGF-1 rs35767 and T2DM risk among four genetic models (the allele, additive, recessive and dominant models).Results: 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 IGF-1 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, p = 0.002), additive model (homozygote comparisons: TT vs. CC: OR = 2.433, 95% CI: 1.095–5.405, p = 0.029; heterozygote comparisons: TC vs. CC: OR = 1.623, 95% CI: 1.055–2.495, p = 0.027) and dominant model (TT + CT vs. CC: OR = 1.934, 95% CI: 1.148–3.257, p = 0.013) with random effects model. After omitting Gouda’s study could reduce the heterogeneity, especially in the recessive model (TT vs. CC + CT: I2 = 38.7%, p = 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, p = 0.045). And increasing the risk of T2DM in Uyghur population of subgroup for the allele model.Conclusion: 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. |
| format |
article |
| author |
Qiaoli Zeng Qiaoli Zeng Qiaoli Zeng Dehua Zou Dehua Zou Dehua Zou Qiaodi Zeng Xiaoming Chen Yue Wei Runmin Guo Runmin Guo Runmin Guo Runmin Guo |
| author_facet |
Qiaoli Zeng Qiaoli Zeng Qiaoli Zeng Dehua Zou Dehua Zou Dehua Zou Qiaodi Zeng Xiaoming Chen Yue Wei Runmin Guo Runmin Guo Runmin Guo Runmin Guo |
| author_sort |
Qiaoli Zeng |
| title |
Association Between Insulin-like Growth Factor-1 rs35767 Polymorphism and Type 2 Diabetes Mellitus Susceptibility: A Meta-Analysis |
| title_short |
Association Between Insulin-like Growth Factor-1 rs35767 Polymorphism and Type 2 Diabetes Mellitus Susceptibility: A Meta-Analysis |
| title_full |
Association Between Insulin-like Growth Factor-1 rs35767 Polymorphism and Type 2 Diabetes Mellitus Susceptibility: A Meta-Analysis |
| title_fullStr |
Association Between Insulin-like Growth Factor-1 rs35767 Polymorphism and Type 2 Diabetes Mellitus Susceptibility: A Meta-Analysis |
| title_full_unstemmed |
Association Between Insulin-like Growth Factor-1 rs35767 Polymorphism and Type 2 Diabetes Mellitus Susceptibility: A Meta-Analysis |
| title_sort |
association between insulin-like growth factor-1 rs35767 polymorphism and type 2 diabetes mellitus susceptibility: a meta-analysis |
| publisher |
Frontiers Media S.A. |
| publishDate |
2021 |
| url |
https://doaj.org/article/e10fbcdb414547138f03ba580fe11dff |
| work_keys_str_mv |
AT qiaolizeng associationbetweeninsulinlikegrowthfactor1rs35767polymorphismandtype2diabetesmellitussusceptibilityametaanalysis AT qiaolizeng associationbetweeninsulinlikegrowthfactor1rs35767polymorphismandtype2diabetesmellitussusceptibilityametaanalysis AT qiaolizeng associationbetweeninsulinlikegrowthfactor1rs35767polymorphismandtype2diabetesmellitussusceptibilityametaanalysis AT dehuazou associationbetweeninsulinlikegrowthfactor1rs35767polymorphismandtype2diabetesmellitussusceptibilityametaanalysis AT dehuazou associationbetweeninsulinlikegrowthfactor1rs35767polymorphismandtype2diabetesmellitussusceptibilityametaanalysis AT dehuazou associationbetweeninsulinlikegrowthfactor1rs35767polymorphismandtype2diabetesmellitussusceptibilityametaanalysis AT qiaodizeng associationbetweeninsulinlikegrowthfactor1rs35767polymorphismandtype2diabetesmellitussusceptibilityametaanalysis AT xiaomingchen associationbetweeninsulinlikegrowthfactor1rs35767polymorphismandtype2diabetesmellitussusceptibilityametaanalysis AT yuewei associationbetweeninsulinlikegrowthfactor1rs35767polymorphismandtype2diabetesmellitussusceptibilityametaanalysis AT runminguo associationbetweeninsulinlikegrowthfactor1rs35767polymorphismandtype2diabetesmellitussusceptibilityametaanalysis AT runminguo associationbetweeninsulinlikegrowthfactor1rs35767polymorphismandtype2diabetesmellitussusceptibilityametaanalysis AT runminguo associationbetweeninsulinlikegrowthfactor1rs35767polymorphismandtype2diabetesmellitussusceptibilityametaanalysis AT runminguo associationbetweeninsulinlikegrowthfactor1rs35767polymorphismandtype2diabetesmellitussusceptibilityametaanalysis |
| _version_ |
1718417887322963968 |