Using genetic admixture to explain racial differences in insulin-related phenotypes

Barbara A. Gower, José R. Fernández, T. Mark Beasley, Mark D. Shriver, Michael I. Goran

Research output: Contribution to journalArticlepeer-review

87 Scopus citations

Abstract

Documented differences in measures of insulin secretion and action between African Americans and European Americans may be due to either genetic or environmental factors. This study used genetic admixture (ADM), determined from ∼20 ancestry informative markers, and a questionnaire designed to assess socioeconomic status (SES) to examine potential genetic and environmental contributions to minimal model-derived measures of insulin sensitivity (SI), fasting insulin, and the acute insulin response to glucose (AIRg) in 125 children residing in Birmingham, Alabama. The study was longitudinal in design and yielded multiple outcome measures on each subject. Mixed models analysis was used to determine if ADM and SES were independently related to SI, fasting insulin, and AIRg after adjusting for confounding factors (pubertal status, adiposity, age) and for repeated testing of individuals. In this cohort, African ADM ranged from 0% (individuals with no markers reflecting African ancestry) to 100% (individuals with all 20 markers reflecting African ancestry). Results indicated that ADM was independently related to SI (P < 0.001) and fasting insulin (P < 0.01), with individuals having greater African ADM having a lower SI and a higher fasting insulin concentration. Both ADM (P < 0.001) and SES (P < 0.05) were independently related to AIRg; children with greater African ADM or lower SES had a higher AIRg, even after adjusting for SI. These observations suggest that use of ADM can replace assignment of individuals to categorical racial groups; that lower SI and higher fasting insulin among African Americans compared with European Americans may have a genetic basis; and that higher AIRg among African Americans may be due to both genetic factors and to environmental factors that remain to be identified.

Original languageEnglish (US)
Pages (from-to)1047-1051
Number of pages5
JournalDiabetes
Volume52
Issue number4
DOIs
StatePublished - Apr 1 2003

All Science Journal Classification (ASJC) codes

  • Internal Medicine
  • Endocrinology, Diabetes and Metabolism

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