Association Analysis of LEP Signaling Pathway with Type 2 Diabetes Mellitus in Chinese Han Population from South China
Objective. This study is aimed at analyzing the relationship between leptin (LEP) signaling pathway and type 2 diabetes mellitus (T2DM) and at providing support for molecular genetic research on the pathogenesis of T2DM in Chinese Han population. Methods. A case-control study was designed, including...
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doaj-168db9218e44469d9b3d7f4b1b0b9ec82021-10-04T01:58:19ZengHindawi LimitedBioMed Research International2314-61412021-01-01202110.1155/2021/5517364Association Analysis of LEP Signaling Pathway with Type 2 Diabetes Mellitus in Chinese Han Population from South ChinaHaibing Yu0Lin Xu1Hao Liu2Jialu Huang3Ling Luo4Rong Chen5Jian Xu6Chunwen Lin7Weiying Chen8Yuxun Xie9Huihuang Yang10Danli Kong11Yuanlin Ding12School of Public HealthSchool of Public HealthSchool of Public HealthSchool of Public HealthSchool of Public HealthSchool of Public HealthSchool of Public HealthSchool of Public HealthSchool of Public HealthSchool of Public HealthSchool of Public HealthSchool of Public HealthSchool of Public HealthObjective. This study is aimed at analyzing the relationship between leptin (LEP) signaling pathway and type 2 diabetes mellitus (T2DM) and at providing support for molecular genetic research on the pathogenesis of T2DM in Chinese Han population. Methods. A case-control study was designed, including 1092 cases with T2DM and 1092 healthy controls of Chinese Han origin recruited from ten hospitals in Guangdong Province, Southern China. Twenty-three single nucleotide polymorphisms (SNPs) of 15 genes in LEP signaling pathway were genotyped by SNPscan™ kit. The Pearson chi-square test, Cochran-Armitage trend test, MAX3, and logistic regression were applied to analyze the association between single nucleotide polymorphism (SNP) and T2DM; unconditional logistic regression was used to analyze haplotype in LD block; and SNP set analysis based on logistic kernel machine regression was used to analyze pathway. All statistical analysis was performed by SPSS25.0, R2.14, Haploview4.2, SNPStats, and other statistical software packages. Results. In association analysis based on SNP, rs2167270 had statistical significance both in the adjusted and unadjusted covariate dominant model and in the unadjusted covariate overdominant model while it had no significant difference in the adjusted covariate overdominant model. Compared to GG genotype, rs2167270 of AG genotype had statistical significance in both the adjusted and unadjusted covariate codominant models. And rs16147 had statistical significance in robust test, stealth model and overdominant model, and adjusting and unadjusting covariate. This study found linkage disequilibrium existed between rs2167270 and rs4731426 of LEP, rs10889502 and rs17127107 of JAK1, rs2970847 and rs6821591 of PPARGC1A, rs249429 and rs3805486 of PRKAA1, rs1342382 and rs6588640 of PRKAA2, rs3766522 and rs6937 of PRKAB2, rs2970847 and rs6821591 of PRKAG2, and rs6436094 and rs645163 of PRKAG3. There was no positive finding with statistical significance from the unconditional logistic regression of the mentioned genes’ haplotype of LD block. Conclusions. LEP signaling pathway association with T2DM remained to be confirmed in Chinese Han population, although rs2167270 and rs16147 were significantly associated with T2DM.http://dx.doi.org/10.1155/2021/5517364 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Haibing Yu Lin Xu Hao Liu Jialu Huang Ling Luo Rong Chen Jian Xu Chunwen Lin Weiying Chen Yuxun Xie Huihuang Yang Danli Kong Yuanlin Ding |
spellingShingle |
Haibing Yu Lin Xu Hao Liu Jialu Huang Ling Luo Rong Chen Jian Xu Chunwen Lin Weiying Chen Yuxun Xie Huihuang Yang Danli Kong Yuanlin Ding Association Analysis of LEP Signaling Pathway with Type 2 Diabetes Mellitus in Chinese Han Population from South China BioMed Research International |
author_facet |
Haibing Yu Lin Xu Hao Liu Jialu Huang Ling Luo Rong Chen Jian Xu Chunwen Lin Weiying Chen Yuxun Xie Huihuang Yang Danli Kong Yuanlin Ding |
author_sort |
Haibing Yu |
title |
Association Analysis of LEP Signaling Pathway with Type 2 Diabetes Mellitus in Chinese Han Population from South China |
title_short |
Association Analysis of LEP Signaling Pathway with Type 2 Diabetes Mellitus in Chinese Han Population from South China |
title_full |
Association Analysis of LEP Signaling Pathway with Type 2 Diabetes Mellitus in Chinese Han Population from South China |
title_fullStr |
Association Analysis of LEP Signaling Pathway with Type 2 Diabetes Mellitus in Chinese Han Population from South China |
title_full_unstemmed |
Association Analysis of LEP Signaling Pathway with Type 2 Diabetes Mellitus in Chinese Han Population from South China |
title_sort |
association analysis of lep signaling pathway with type 2 diabetes mellitus in chinese han population from south china |
publisher |
Hindawi Limited |
series |
BioMed Research International |
issn |
2314-6141 |
publishDate |
2021-01-01 |
description |
Objective. This study is aimed at analyzing the relationship between leptin (LEP) signaling pathway and type 2 diabetes mellitus (T2DM) and at providing support for molecular genetic research on the pathogenesis of T2DM in Chinese Han population. Methods. A case-control study was designed, including 1092 cases with T2DM and 1092 healthy controls of Chinese Han origin recruited from ten hospitals in Guangdong Province, Southern China. Twenty-three single nucleotide polymorphisms (SNPs) of 15 genes in LEP signaling pathway were genotyped by SNPscan™ kit. The Pearson chi-square test, Cochran-Armitage trend test, MAX3, and logistic regression were applied to analyze the association between single nucleotide polymorphism (SNP) and T2DM; unconditional logistic regression was used to analyze haplotype in LD block; and SNP set analysis based on logistic kernel machine regression was used to analyze pathway. All statistical analysis was performed by SPSS25.0, R2.14, Haploview4.2, SNPStats, and other statistical software packages. Results. In association analysis based on SNP, rs2167270 had statistical significance both in the adjusted and unadjusted covariate dominant model and in the unadjusted covariate overdominant model while it had no significant difference in the adjusted covariate overdominant model. Compared to GG genotype, rs2167270 of AG genotype had statistical significance in both the adjusted and unadjusted covariate codominant models. And rs16147 had statistical significance in robust test, stealth model and overdominant model, and adjusting and unadjusting covariate. This study found linkage disequilibrium existed between rs2167270 and rs4731426 of LEP, rs10889502 and rs17127107 of JAK1, rs2970847 and rs6821591 of PPARGC1A, rs249429 and rs3805486 of PRKAA1, rs1342382 and rs6588640 of PRKAA2, rs3766522 and rs6937 of PRKAB2, rs2970847 and rs6821591 of PRKAG2, and rs6436094 and rs645163 of PRKAG3. There was no positive finding with statistical significance from the unconditional logistic regression of the mentioned genes’ haplotype of LD block. Conclusions. LEP signaling pathway association with T2DM remained to be confirmed in Chinese Han population, although rs2167270 and rs16147 were significantly associated with T2DM. |
url |
http://dx.doi.org/10.1155/2021/5517364 |
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