Candidate gene association study of BMI-related loci, weight, and adiposity in old age

J Gerontol A Biol Sci Med Sci. 2013 Jun;68(6):661-6. doi: 10.1093/gerona/gls227. Epub 2012 Nov 16.

Abstract

Most genome-wide association studies are confined to middle-aged populations. It is unclear whether associations between single nucleotide polymorphisms (SNPs) and obesity persist in old age. We aimed to relate 10 body mass index (BMI)-associated SNPs to weight, BMI, % fat, visceral and subcutaneous adipose tissue in Health ABC and AGES-Reykjavik comprising 4,846 individuals of European Ancestry, and 1,139 African Americans over age 65. SNPs were scaled using effect estimates from candidate SNPs. In Health ABC, a SNP near GNPDA2 was modestly associated with weight and SAT area (p = .008, p = .001). Risk score (sum of scaled SNPs) was associated with weight, BMI, and SAT area (p < .0001 for all), but neither GNPDA2 nor risk score was associated with weight, BMI, visceral adippose tissue, subcutaneous adipose tissue, or % fat in AGES-Reykjavik. In African Americans, a SNP near SEC16B was weakly associated with weight (p = .04). In this sample of older adults, no BMI-associated SNPs were associated with weight or adiposity.

Keywords: Aging; Genetics; Obesity; SNPs..

Publication types

  • Multicenter Study
  • Research Support, N.I.H., Extramural
  • Research Support, N.I.H., Intramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adiposity / genetics*
  • Aged
  • Aged, 80 and over
  • Aging*
  • Black or African American / ethnology
  • Black or African American / genetics*
  • Body Mass Index*
  • Body Weight
  • Female
  • Gene Expression Regulation
  • Genetic Loci*
  • Genetic Predisposition to Disease
  • Genetic Testing
  • Genome, Human
  • Humans
  • Male
  • Obesity / epidemiology
  • Obesity / genetics*
  • Overweight / genetics
  • Phenotype
  • Polymorphism, Single Nucleotide*
  • Prospective Studies
  • Sampling Studies
  • United States / epidemiology
  • White People / ethnology
  • White People / genetics*