Journal of Diabetes Research (Jan 2015)

Association Analysis of Genetic Variants with Type 2 Diabetes in a Mongolian Population in China

  • Haihua Bai,
  • Haiping Liu,
  • Suyalatu Suyalatu,
  • Xiaosen Guo,
  • Shandan Chu,
  • Ying Chen,
  • Tianming Lan,
  • Burenbatu Borjigin,
  • Yuriy L. Orlov,
  • Olga L. Posukh,
  • Xiuqin Yang,
  • Guilan Guilan,
  • Ludmila P. Osipova,
  • Qizhu Wu,
  • Narisu Narisu

DOI
https://doi.org/10.1155/2015/613236
Journal volume & issue
Vol. 2015

Abstract

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The large scale genome wide association studies (GWAS) have identified approximately 80 single nucleotide polymorphisms (SNPs) conferring susceptibility to type 2 diabetes (T2D). However, most of these loci have not been replicated in diverse populations and much genetic heterogeneity has been observed across ethnic groups. We tested 28 SNPs previously found to be associated with T2D by GWAS in a Mongolian sample of Northern China (497 diagnosed with T2D and 469 controls) for association with T2D and diabetes related quantitative traits. We replicated T2D association of 11 SNPs, namely, rs7578326 (IRS1), rs1531343 (HMGA2), rs8042680 (PRC1), rs7578597 (THADA), rs1333051 (CDKN2), rs6723108 (TMEM163), rs163182 and rs2237897 (KCNQ1), rs1387153 (MTNR1B), rs243021 (BCL11A), and rs10229583 (PAX4) in our sample. Further, we showed that risk allele of the strongest T2D associated SNP in our sample, rs757832 (IRS1), is associated with increased level of TG. We observed substantial difference of T2D risk allele frequency between the Mongolian sample and the 1000G Caucasian sample for a few SNPs, including rs6723108 (TMEM163) whose risk allele reaches near fixation in the Mongolian sample. Further study of genetic architecture of these variants in susceptibility of T2D is needed to understand the role of these variants in heterogeneous populations.