Admixture mapping of quantitative trait loci for BMI in African Americans: Evidence for Loci on chromosomes 3q, 5q, and 15q

Analabha Basu, Hua Tang, Donna Arnett, C. Charles Gu, Tom Mosley, Sharon Kardia, Amy Luke, Bamidele Tayo, Richard Cooper, Xiaofeng Zhu, Neil Risch

Research output: Contribution to journalArticlepeer-review

33 Scopus citations

Abstract

Obesity is a heritable trait and a major risk factor for highly prevalent common diseases such as hypertension and type 2 diabetes. Previously we showed that BMI was positively correlated with African ancestry among the African Americans (AAs) in the US National Heart, Lung, and Blood Institute's Family Blood Pressure Program (FBPP). In a set of 1,344 unrelated AAs, using Individual Ancestry (IA) estimates at 284 marker locations across the genome, we now present a quantitative admixture mapping analysis of BMI. We used a set of unrelated individuals from Nigeria to represent the African ancestral population and the European American (EA) in the FBPP as the European ancestral population. The analysis was based on a common set of 284 microsatellite markers genotyped in all three groups. We considered the quantitative trait, BMI, as the response variable in a regression analysis with the marker location specific excess European ancestry as the explanatory variable. After suitably adjusting for different covariates such as sex, age, and network, we found strong evidence for a positive association with European ancestry at chromosome locations 3q29 and 5q14 and a negative association on chromosome 15q26. To our knowledge, this is the largest quantitative admixture mapping effort in terms of sample size and marker locus involvement for the trait. These results suggest that these regions may harbor genes influencing BMI in the AA population.

Original languageEnglish
Pages (from-to)1226-1231
Number of pages6
JournalObesity
Volume17
Issue number6
DOIs
StatePublished - Jun 2009

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Endocrinology, Diabetes and Metabolism
  • Endocrinology
  • Nutrition and Dietetics

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