Association between three genetic variants of the perilipin gene (PLIN) and glucose metabolism: Results from a replication study among chinese adults and a meta-analysis

Dahai Yu, Chunyang Li, Jing Xie, Guoheng Xu, Yanyan Li, Jiyan Liu, Bing Chen, Jingjing Pan, Minghui Shen, Liming Yang, Dongsheng Hu

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7 Citations (Scopus)

Abstract

Objective. This study was aimed to replicate the associations between three Perilipin Gene (PLIN) variants (rs894160, rs1052700, and rs2304796) and diabetes risks and to evaluate the overall effects of these variants on diabetes risk and obesity risk. Methods. We conducted a cross-sectional study among 993 Chinese Han adults. We also made a meta-analysis to estimate associations between these variants and diabetes risk and obesity risk. Results. In the sample of all participants, all three single-nucleotide polymorphisms (SNPs) were not significantly associated with diabetes risks. The PLIN polymorphisms significantly interacted with central obesity in relation to diabetes risk (P for interaction = 0.036, 0.033, and 0.042 for rs1052700, rs894160, and rs2304796, respectively). In those with allele T of rs1052700 or allele A of rs894160, fasting glucose concentration and diabetes risk increased significantly with the increment of waist circumference. Only association between rs894160 and obesity risk was available for meta-analysis. The meta-analysis indicated the overall estimation of obesity risk for rs894160 was 0.97 (0.78, 1.16) among participants with allele A versus people with genotype GG and 1.46 (0.99, 1.93) among those with genotype AA versus allele G carriers. Conclusion. Chinese adults with high waist circumference may have a high risk of diabetes, especially among those with allele T in rs1052700 or with allele A in rs894160. People with genotype AA (rs894160) may have a high risk of obesity.

Original languageEnglish
Pages (from-to)263-279
Number of pages17
JournalEndocrine Research
Volume38
Issue number4
DOIs
Publication statusPublished - 14 Oct 2013
Externally publishedYes

Keywords

  • Chinese
  • Diabetes
  • Obesity
  • Perilipin
  • Single nucleoside polymorphisms

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