Evaluation of the genetic and metabolic determinants of postprandial glucose variability in Black South Africans

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This study aimed to determine the metabolic and genetic factors that account for the variation in postprandial glucose (PPG) in Black South Africans (SA). The study included 794 participants from the middle-aged Sowetan Cohort (MASC). PPG was calculated using the integrated area under the curve (iAUC) in response to an oral glucose tolerance test. Principal component analysis was applied to 31 metabolic factors to generate clusters represented by principal component variables. Polygenic risk scores (PRS) were computed for each participant using variants and weights from a validated African type 2 diabetes PRS. Linear regression models were used to evaluate the variance. The PRS did not contribute to the PPG variability in men or women. Central fat, serum lipids, and liver enzymes explained 10.8% of PPG variability in women. In men, peripheral fat, serum lipids, liver enzymes, and steroid hormones explained 10.6% of PPG variability. Our work has identified metabolic factors that predict PPG variability in Black SA.
A research report submitted in partial fulfilment of the requirement for the degree of Master of Science in Medicine in Genomic Medicine to the Faculty of Health Sciences, University of the Witwatersrand, School of Pathology, Johannesburg, 2023
Postprandial glucose, Black South Africans