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Ulrika Ericson

Ulrika Ericson

Associate professor

Ulrika Ericson

Gene × physical activity interactions in obesity: combined analysis of 111,421 individuals of European ancestry. : combined analysis of 111,421 individuals of European ancestry

Author

  • Shafqat Ahmad
  • Gull Rukh
  • Tibor V Varga
  • Ashfaq Ali
  • Azra Kurbasic
  • Dmitry Shungin
  • Ulrika Ericson
  • Robert Koivula
  • Audrey Y Chu
  • Lynda M Rose
  • Andrea Ganna
  • Qibin Qi
  • Alena Stančáková
  • Camilla H Sandholt
  • Cathy E Elks
  • Gary Curhan
  • Majken K Jensen
  • Rulla M Tamimi
  • Kristine H Allin
  • Torben Jørgensen
  • Soren Brage
  • Claudia Langenberg
  • Mette Aadahl
  • Niels Grarup
  • Allan Linneberg
  • Guillaume Paré
  • Patrik K E Magnusson
  • Nancy L Pedersen
  • Michael Boehnke
  • Anders Hamsten
  • Karen L Mohlke
  • Louis T Pasquale
  • Oluf Pedersen
  • Robert A Scott
  • Paul M Ridker
  • Erik Ingelsson
  • Markku Laakso
  • Torben Hansen
  • Lu Qi
  • Nicholas J Wareham
  • Daniel I Chasman
  • Göran Hallmans
  • Frank B Hu
  • Frida Renström
  • Marju Orho-Melander
  • Paul Franks

Summary, in English

Numerous obesity loci have been identified using genome-wide association studies. A UK study indicated that physical activity may attenuate the cumulative effect of 12 of these loci, but replication studies are lacking. Therefore, we tested whether the aggregate effect of these loci is diminished in adults of European ancestry reporting high levels of physical activity. Twelve obesity-susceptibility loci were genotyped or imputed in 111,421 participants. A genetic risk score (GRS) was calculated by summing the BMI-associated alleles of each genetic variant. Physical activity was assessed using self-administered questionnaires. Multiplicative interactions between the GRS and physical activity on BMI were tested in linear and logistic regression models in each cohort, with adjustment for age, age(2), sex, study center (for multicenter studies), and the marginal terms for physical activity and the GRS. These results were combined using meta-analysis weighted by cohort sample size. The meta-analysis yielded a statistically significant GRS × physical activity interaction effect estimate (Pinteraction = 0.015). However, a statistically significant interaction effect was only apparent in North American cohorts (n = 39,810, Pinteraction = 0.014 vs. n = 71,611, Pinteraction = 0.275 for Europeans). In secondary analyses, both the FTO rs1121980 (Pinteraction = 0.003) and the SEC16B rs10913469 (Pinteraction = 0.025) variants showed evidence of SNP × physical activity interactions. This meta-analysis of 111,421 individuals provides further support for an interaction between physical activity and a GRS in obesity disposition, although these findings hinge on the inclusion of cohorts from North America, indicating that these results are either population-specific or non-causal.

Department/s

  • Genetic and Molecular Epidemiology
  • Diabetes - Cardiovascular Disease
  • EXODIAB: Excellence in Diabetes Research in Sweden
  • EpiHealth: Epidemiology for Health

Publishing year

2013

Language

English

Pages

1003607-1003607

Publication/Series

PLoS Genetics

Volume

9

Issue

7

Document type

Journal article

Publisher

Public Library of Science

Topic

  • Endocrinology and Diabetes

Keywords

  • Adult
  • Alleles
  • Body Mass Index
  • European Continental Ancestry Group/genetics
  • Female
  • Genetic Association Studies
  • Genetic Predisposition to Disease
  • Humans
  • Logistic Models
  • Male
  • Motor Activity/genetics
  • Obesity/epidemiology
  • Polymorphism, Single Nucleotide
  • Risk Factors
  • Surveys and Questionnaires

Status

Published

Research group

  • Genetic and Molecular Epidemiology
  • Diabetes - Cardiovascular Disease

ISBN/ISSN/Other

  • ISSN: 1553-7404