Predictive utility of a genetic risk score of common variants associated with type 2 diabetes in a black South African population

Diabetes Res Clin Pract. 2016 Dec:122:1-8. doi: 10.1016/j.diabres.2016.09.019. Epub 2016 Oct 1.

Abstract

Aims: To determine the predictive utility of polygenic risk scores of common variants associated with type 2 diabetes derived from the European and Asian ethnicities among a black South African population.

Method: Our study was a case-control study nested within the Prospective Urban and Rural Epidemiological (PURE) study of 178 male and female cases, matched for age and gender with 178 controls. Four types of genetic risk scores (GRS) were developed from 66 selected SNPs. These comprised of beta cell related variants (GRSb), variants which had significant associations with T2D in our study (GRSn), variants from the trans-ethnic meta-analysis (GRStrans) and all the 66 selected SNPs (GRSt).

Results: Of the GRS's, only GRSn was associated with increased risk of T2D as indicated by an OR (95CI) of 1.21 (1.02-1.43) p-value=0.015. Stratified analysis of age and BMI, indicated the GRSn to be significantly associated with T2D among the non-obese and participants less than 50years. The area under the ROC of the T2D risk factors only was 0.652 (p value<0.001) and with the addition of GRSn it was 0.665 (p value<0.001).

Conclusions: The GRS of European and Asian derived variants have limited clinical utility in the black South African population. The inclusion of population specific variants in the GRS is pivotal.

Keywords: BMI; Clinical use; GRS; Polygenic risk score.

MeSH terms

  • Adult
  • Area Under Curve
  • Asian People / ethnology
  • Asian People / genetics
  • Black People / ethnology*
  • Black People / genetics
  • Case-Control Studies
  • Diabetes Mellitus, Type 2 / ethnology*
  • Diabetes Mellitus, Type 2 / genetics*
  • Female
  • Genetic Predisposition to Disease
  • Humans
  • Male
  • Middle Aged
  • Polymorphism, Single Nucleotide*
  • Prospective Studies
  • Risk Assessment
  • Risk Factors
  • South Africa / epidemiology
  • White People / ethnology
  • White People / genetics