Genetic Predictors of >= 5% Weight Loss by Multidisciplinary Advice to Severely Obese Subjects

Erik E. J. G. Aller, Edwin C. M. Mariman, Freek G. Bouwman, Marleen A. van Baak*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

7 Citations (Web of Science)

Abstract

Background: Weight loss success is determined by genetic factors, which may differ according to treatment strategy. Methods: From a multidisciplinary obesity treatment program involving dietary advice, psychological counseling, and increased physical activity, 587 subjects (68% female; 46.1 +/- 12.4 years; BMI 39.9 +/- 6.3) were recruited. At baseline, a blood sample was drawn for DNA isolation. Genotypes were determined for 30 polymorphisms in 25 candidate genes. The association between genotypes and weight loss was assessed after 3 months (short-term) and after 12 months of treatment (long-term). Weight loss was categorized as >= 5% or = 5% weight loss in the first 3 months. The C/G-G/G genotype of PPARy (rs1801282) and the T/C genotype of TIMP4 (rs3755724) predicted >= 5% weight loss after 12 months. Subjects with the combination of PPARy (rs1801282) C/G-G/G and TIMP4 (rs3755724) TIC lost even more weight. Conclusion: Polymorphisms in genes related to regulation of fat storage and structural adaptation of the adipocytes are predictors for weight loss success with different genes being relevant for short-term and long-term weight loss success. (C) 2017 The Author(s) Published by S. Karger AG, Basel

Original languageEnglish
Pages (from-to)32-42
Number of pages11
JournalJournal of Nutrigenetics and Nutrigenomics
Volume10
Issue number1-2
DOIs
Publication statusPublished - 2017

Keywords

  • Obesity
  • Lifestyle intervention
  • Polymorphisms
  • Predictors
  • Weight loss maintenance
  • Fat storage
  • Adipocyte adaptation
  • Extracellular matrix
  • BODY-MASS INDEX
  • ACTIVATED RECEPTOR-GAMMA
  • METABOLIC SYNDROME
  • ASSOCIATION
  • POLYMORPHISMS
  • MAINTENANCE
  • POPULATION
  • RISK
  • LOCI
  • METAANALYSIS

Cite this