Polymorphisms analysis for association between ADIPO signaling pathway and genetic susceptibility to T2DM in Chinese han population

Adipocyte. 2021 Dec;10(1):463-474. doi: 10.1080/21623945.2021.1978728.

Abstract

The aim of the present study is to explored the relationship between ADIPO signalling pathway and T2DM, to provide clues for further study of the pathogenesis of T2DM and to determine the possible drug targets. This study employed a case-control study design. Twenty-three single nucleotide polymorphisms (SNPs) of 13 genes in the selected ADIPO signalling pathway were genotyped by SNPscanTM kit. All statistical analysis was performed by SPSS 25.0, PLINK 1.07, R 2.14.2, Haploview 4.2, SNPstats, and other statistical software packages. In the association analysis based on a single SNPs, rs1044471 had statistical significance in the overdominant model without adjusting covariates. Rs1042531 had statistical significance in the overdominant model. Rs12718444 had statistical significance in the recessive model. There was a linkage disequilibrium between the loci within 9 genes, and the two loci in RXRA gene did not form blocks. Four kernel functions were used for SNPs set analysis based on ADIPO signalling pathway showed that there was no statistical significance whether covariates were added or not, P>0.05.According to our research results, it is found that some single nucleotide polymorphisms (ADIPOR2 rs1044471, PCK1 rs1042531, GLUT1 rs12718444) in the adiponectin signalling pathway may be associated with T2DM.

Keywords: Type 2 diabetes mellitus; adipo signalling pathway; single nucleotide polymorphisms.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Case-Control Studies
  • China
  • Diabetes Mellitus, Type 2* / genetics
  • Genetic Predisposition to Disease*
  • Humans
  • Signal Transduction / genetics

Associated data

  • figshare/10.6084/m9.figshare.15104142

Grants and funding

We appreciate all authors for their contributions and physicians and participants. The study was supported by the Natural Science Foundation of Guangdong basic and applied basic research foundation (Grant no.2021A1515010061), the Regional joint fund project of Guangdong basic and applied basic research fund (Key project, Grant no. 2020B1515120021), the Key Cultivation project of natural Science of Guangdong Medical University Scientific Research Foundation in 2020 (Grant no. GDMUZ2020008), the Competitive Allocation Project of special fund for science and technology development in Zhanjiang City (Grant no. 2020A01031), the Characteristic Innovation Project of Colleges and Universities in Guangdong province in 2019 (Natural Sciences, Grant no. 2019KTSCX047), the Innovation Experiment Project for College students of Guangdong Medical University in 2019 (Grant no.ZZDG003), the discipline construction project of Guangdong Medical University (Grant no.4SG21264P), the Medical Research Fund project of Guangdong Province in 2021, (Grant no.A2021395), and Youth Innovation Talent Project of Colleges and Universities in Guangdong province in 2017 (Natural Sciences, Grant no.2018KQNCX088).