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Paul Franks

Paul Franks

Principal investigator

Paul Franks

Gene-Lifestyle Interaction and Type 2 Diabetes: The EPIC InterAct Case-Cohort Study.

Author

  • Claudia Langenberg
  • Stephen J Sharp
  • Paul Franks
  • Robert A Scott
  • Panos Deloukas
  • Nita G Forouhi
  • Philippe Froguel
  • Leif Groop
  • Torben Hansen
  • Luigi Palla
  • Oluf Pedersen
  • Matthias B Schulze
  • Maria-Jose Tormo
  • Eleanor Wheeler
  • Claudia Agnoli
  • Larraitz Arriola
  • Aurelio Barricarte
  • Heiner Boeing
  • Geraldine M Clarke
  • Françoise Clavel-Chapelon
  • Eric J Duell
  • Guy Fagherazzi
  • Rudolf Kaaks
  • Nicola D Kerrison
  • Timothy J Key
  • Kay Tee Khaw
  • Janine Kröger
  • Martin Lajous
  • Andrew P Morris
  • Carmen Navarro
  • Peter Nilsson
  • Kim Overvad
  • Domenico Palli
  • Salvatore Panico
  • J Ramón Quirós
  • Olov Rolandsson
  • Carlotta Sacerdote
  • María-José Sánchez
  • Nadia Slimani
  • Annemieke M W Spijkerman
  • Rosario Tumino
  • Daphne L van der A
  • Yvonne T van der Schouw
  • Inês Barroso
  • Mark I McCarthy
  • Elio Riboli
  • Nicholas J Wareham

Summary, in English

Understanding of the genetic basis of type 2 diabetes (T2D) has progressed rapidly, but the interactions between common genetic variants and lifestyle risk factors have not been systematically investigated in studies with adequate statistical power. Therefore, we aimed to quantify the combined effects of genetic and lifestyle factors on risk of T2D in order to inform strategies for prevention.

Department/s

  • Genomics, Diabetes and Endocrinology
  • Genetic and Molecular Epidemiology
  • Internal Medicine - Epidemiology
  • EXODIAB: Excellence in Diabetes Research in Sweden
  • EpiHealth: Epidemiology for Health

Publishing year

2014

Language

English

Publication/Series

PLoS Medicine

Volume

11

Issue

5

Document type

Journal article

Publisher

Public Library of Science

Topic

  • Endocrinology and Diabetes

Status

Published

Research group

  • Genomics, Diabetes and Endocrinology
  • Genetic and Molecular Epidemiology
  • Internal Medicine - Epidemiology

ISBN/ISSN/Other

  • ISSN: 1549-1676