Different prevalence of T2DM risk alleles in Roma population in comparison with the majority Czech population

Mol Genet Genomic Med. 2020 Sep;8(9):e1361. doi: 10.1002/mgg3.1361. Epub 2020 Jun 24.

Abstract

Background: The Czech governmental study suggests up to a 25% higher prevalence of type 2 diabetes mellitus (T2DM) in the Roma population than within the majority population. It is not known whether and to what extent these differences have a genetic background.

Methods: To analyze whether the frequencies of the alleles/genotypes of the FTO, TCF7L2, CDKN2A/2B, MAEA, TLE4, IGF2BP2, ARAP1, and KCNJ11 genes differ between the two major ethnic groups in the Czech Republic, we examined them in DNA samples from 302 Roma individuals and 298 Czech individuals.

Results: Compared to the majority population, Roma are more likely to carry risk alleles in the FTO (26% vs. 16% GG homozygotes, p < .01), IGF2BP2 (22% vs. 10% TT homozygotes, p < .0001), ARAP1 (98% vs. 95% of A allele carriers, p < .005), and CDKN2A/2B (81% vs. 66% of TT homozygotes, p < .001) genes; however, less frequently they are carriers of the TCF7L2 risk allele (34% vs. 48% of the T allele p < .0005). Finally, we found significant accumulation of T2DM-associated alleles between the Roma population in comparison with the majority population (25.4% vs. 15.2% of the carriers of at least 12 risk alleles; p < .0001).

Conclusion: The increased prevalence of T2DM in the Roma population may have a background in different frequencies of the risk alleles of genes associated with T2DM development.

Keywords: Czech population; Roma population; T2DM; gene score; polymorphism.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adiposity
  • Adult
  • Blood Glucose / analysis
  • Cholesterol / blood
  • Czech Republic
  • Diabetes Mellitus, Type 2 / blood
  • Diabetes Mellitus, Type 2 / ethnology
  • Diabetes Mellitus, Type 2 / genetics*
  • Female
  • Gene Frequency*
  • Genetic Loci*
  • Humans
  • Male
  • Middle Aged
  • Polymorphism, Genetic
  • Roma / genetics*

Substances

  • Blood Glucose
  • Cholesterol