Your browser has javascript turned off or blocked. This will lead to some parts of our website to not work properly or at all. Turn on javascript for best performance.

The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Ulrika Ericson

Ulrika Ericson

Associate professor

Ulrika Ericson

Genetic susceptibility to obesity and diet intakes: association and interaction analyses in the Malmö Diet and Cancer Study.

Author

  • Gull Rukh
  • Emily Sonestedt
  • Olle Melander
  • Bo Hedblad
  • Elisabet Wirfält
  • Ulrika Ericson
  • Marju Orho-Melander

Summary, in English

Gene-environment interactions need to be studied to better understand the obesity. We aimed at determining whether genetic susceptibility to obesity associates with diet intake levels and whether diet intakes modify the genetic susceptibility. In 29,480 subjects of the population-based Malmö Diet and Cancer Study (MDCS), we first assessed association between 16 genome-wide association studies identified obesity-related single-nucleotide polymorphisms (SNPs) with body mass index (BMI) and associated traits. We then conducted association analyses between a genetic risk score (GRS) comprising of 13 replicated SNPs and the individual SNPs, and relative dietary intakes of fat, carbohydrates, protein, fiber and total energy intake, as well as interaction analyses on BMI and associated traits among 26,107 nondiabetic MDCS participants. GRS associated strongly with increased BMI (P = 3.6 × 10(-34)), fat mass (P = 6.3 × 10(-28)) and fat-free mass (P = 1.3 × 10(-24)). Higher GRS associated with lower total energy intake (P = 0.001) and higher intake of fiber (P = 2.3 × 10(-4)). No significant interactions were observed between GRS and the studied dietary intakes on BMI or related traits. Of the individual SNPs, after correcting for multiple comparisons, NEGR1 rs2815752 associated with diet intakes and BDNF rs4923461 showed interaction with protein intake on BMI. In conclusion, our study does not provide evidence for a major role for macronutrient-, fiber- or total energy intake levels in modifying genetic susceptibility to obesity measured as GRS. However, our data suggest that the number of risk alleles as well as some of the individual obesity loci may have a role in regulation of food and energy intake and that some individual loci may interact with diet.

Department/s

  • Diabetes - Cardiovascular Disease
  • Nutrition Epidemiology
  • Cardiovascular Research - Hypertension
  • Cardiovascular Research - Epidemiology
  • EXODIAB: Excellence in Diabetes Research in Sweden
  • EpiHealth: Epidemiology for Health

Publishing year

2013

Language

English

Pages

535-547

Publication/Series

Genes & Nutrition

Volume

8

Issue

6

Document type

Journal article

Publisher

New Century Health Publishers

Topic

  • Nutrition and Dietetics

Status

Published

Research group

  • Diabetes - Cardiovascular Disease
  • Nutrition Epidemiology
  • Cardiovascular Research - Hypertension
  • Cardiovascular Research - Epidemiology

ISBN/ISSN/Other

  • ISSN: 1555-8932