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Paul Franks

Paul Franks

Principal investigator

Paul Franks

Genome-wide physical activity interactions in adiposity ― A meta-analysis of 200,452 adults

Author

  • Mariaelisa Graff
  • Robert A. Scott
  • Anne E Justice
  • Kristin L. Young
  • Mary F. Feitosa
  • Llilda Barata
  • Thomas W Winkler
  • Audrey Y. Chu
  • Anubha Mahajan
  • David Hadley
  • Luting Xue
  • Tsegaselassie Workalemahu
  • Nancy L. Heard-Costa
  • Marcel den Hoed
  • Tarunveer S Ahluwalia
  • Qibin Qi
  • Julius S Ngwa
  • Frida Renström
  • Lydia Quaye
  • John D. Eicher
  • James E Hayes
  • Marilyn Cornelis
  • Zoltan Kutalik
  • Elise Lim
  • Jian’an Luan
  • Jennifer E Huffman
  • Weihua Zhang
  • Wei Zhao
  • Paula J. Griffin
  • Toomas Haller
  • Shafqat Ahmad
  • Pedro Marques-Vidal
  • Stephanie Bien
  • Loic Yengo
  • Alexander Teumer
  • Albert Vernon Smith
  • Meena Kumari
  • Marie Neergaard Harder
  • Johanne Marie Justesen
  • Marcus E Kleber
  • Mette Hollensted
  • Kurt Lohman
  • Natalia V. Rivera
  • John B Whitfield
  • Jing Hua Zhao
  • Heather M. Stringham
  • Leo-Pekka Lyytikäinen
  • Charlotte Huppertz
  • Gonneke Willemsen
  • Paul W. Franks

Summary, in English

Physical activity (PA) may modify the genetic effects that give rise to increased risk of obesity. To identify adiposity loci whose effects are modified by PA, we performed genome-wide interaction meta-analyses of BMI and BMI-adjusted waist circumference and waist-hip ratio from up to 200,452 adults of European (n = 180,423) or other ancestry (n = 20,029). We standardized PA by categorizing it into a dichotomous variable where, on average, 23% of participants were categorized as inactive and 77% as physically active. While we replicate the interaction with PA for the strongest known obesity-risk locus in the FTO gene, of which the effect is attenuated by ~30% in physically active individuals compared to inactive individuals, we do not identify additional loci that are sensitive to PA. In additional genome-wide meta-analyses adjusting for PA and interaction with PA, we identify 11 novel adiposity loci, suggesting that accounting for PA or other environmental factors that contribute to variation in adiposity may facilitate gene discovery.

Department/s

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

Publishing year

2017-04-01

Language

English

Publication/Series

PLoS Genetics

Volume

13

Issue

4

Document type

Journal article

Publisher

Public Library of Science

Topic

  • Medical Genetics
  • Physiotherapy

Status

Published

Research group

  • Genetic and Molecular Epidemiology

ISBN/ISSN/Other

  • ISSN: 1553-7390