Skip to main navigation Skip to search Skip to main content

Association of African genetic admixture with resting metabolic rate and obesity among women

  • José R. Fernández
  • , Mark D. Shriver
  • , T. Mark Beasley
  • , Nashwa Rafla-Demetrious
  • , Esteban Parra
  • , Jeanine Albu
  • , Barbara Nicklas
  • , Alice S. Ryan
  • , Paul M. McKeigue
  • , Clive L. Hoggart
  • , Roland L. Weinsier
  • , David B. Allison

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: To investigate the role of genetic admixture in explaining phenotypic variation in obesity-related traits in a sample of African-American women (n = 145) and to determine significant associations between obesity traits and admixture genetic markers. Research Methods and Procedures: Associations between genetic admixture and BMI, resting metabolic rate, fat mass, fat-free mass, and bone mineral density were tested using linear regression considering the estimation of admixture by 1) a maximum-likelihood approach (MLA) and 2) a Bayesian analysis. Results: Both the conservative MLA and the Bayesian approach support an association between African genetic admixture and BMI. Evidence for the associations of African genetic admixture with fat mass and fat-free mass was supported by the Bayesian analysis; the MLA supported an association with bone mineral density. When the individual ancestry informative markers that were used to estimate admixture were tested for associations with BMI, significant associations were identified in chromosomes 1, 11, and 12. Discussion: These results provide evidence supporting the application of admixture mapping methods to the identification of genes that result in higher levels of obesity among African-American women. Further research is needed to replicate and further explore these findings.

Original languageEnglish (US)
Pages (from-to)904-911
Number of pages8
JournalObesity Research
Volume11
Issue number7
DOIs
StatePublished - 2003

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Medicine (miscellaneous)
  • Food Science
  • Endocrinology, Diabetes and Metabolism
  • Endocrinology
  • Public Health, Environmental and Occupational Health

Fingerprint

Dive into the research topics of 'Association of African genetic admixture with resting metabolic rate and obesity among women'. Together they form a unique fingerprint.

Cite this