Geographic diversity in genotype frequencies and meta-analysis of the association between rs1801282 polymorphisms and gestational diabetes mellitus

Pei Chao Lin, Pi Ling Chou, Shu-Fen Wung

Research output: Contribution to journalReview article

Abstract

Aims: To derive a better understanding of the association between peroxisome proliferator-activated receptor gamma (PPAR-γ) rs1801282 polymorphisms and gestational diabetes mellitus (GDM) in general and in racial and ethnic subgroups and to illustrate geographic distribution of the protective of G allele of rs1801282 in women with and without GDM. Methods: ProQuest, PubMed, Medline, Web of Science, and Wanfang Data were systematically searched. Case–control studies on association between rs1801282 polymorphisms and GDM were selected. Comprehensive Meta-Analysis 2.0 statistical software was used to determine the relationship between GDM and rs1801282 polymorphism. Race/ethnicity-based and country-based stratified analysis was conducted. Results: Sixteen studies involving 3129 cases and 7168 controls were included. Significant associations were observed between rs1801282 polymorphisms and GDM under the dominant, heterozygote, and allele models. The G allele of rs1801282 polymorphism was associated with a reduced risk of GDM in Asian, especially Chinese, populations. Data revealed significant geographic diversity in frequency of the protective G allele in women with and without GDM. Conclusions: The rs1801282 polymorphism may not be associated with genetic susceptibility to GDM in whites. The G allele of rs1801282 polymorphism was associated with reduced risk of GDM in Asians, especially Chinese, but not South Koreans.

Original languageEnglish (US)
Pages (from-to)15-23
Number of pages9
JournalDiabetes Research and Clinical Practice
Volume143
DOIs
Publication statusPublished - Sep 1 2018

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Keywords

  • Asian
  • Gestational diabetes mellitus
  • Meta-analysis
  • Polymorphism
  • PPAR-γ
  • rs1801282

ASJC Scopus subject areas

  • Internal Medicine
  • Endocrinology, Diabetes and Metabolism
  • Endocrinology

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