Ontology highlight
ABSTRACT: Background
Genetic factors that predict responses to diet may ultimately be used to individualize dietary recommendations. We used physiogenomics to explore associations among polymorphisms in candidate genes and changes in relative body fat (Delta%BF) to low fat and low carbohydrate diets.Methods
We assessed Delta%BF using dual energy X-ray absorptiometry (DXA) in 93 healthy adults who consumed a low carbohydrate diet (carbohydrate ~12% total energy) (LC diet) and in 70, a low fat diet (fat ~25% total energy) (LF diet). Fifty-three single nucleotide polymorphisms (SNPs) selected from 28 candidate genes involved in food intake, energy homeostasis, and adipocyte regulation were ranked according to probability of association with the change in %BF using multiple linear regres
SUBMITTER: Seip RL
PROVIDER: S-EPMC2270845 | biostudies-literature | 2008 Feb
REPOSITORIES: biostudies-literature