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Identifying metabolic features of colorectal cancer liability using Mendelian randomization.

Caroline J BullEmma HazelwoodJoshua A BellVanessa Y TanAndrei-Emil ConstantinescuCarolina BorgesDanny Nigel LeggeKimberley BurrowsJeroen R HuygheHermann BrennerSergi Castellvi-BelAndrew T ChanSun-Seog KweonLoic Le MarchandLi LiIona ChengRish K PaiJane C FigueiredoNeil MurphyMarc J GunterNicholas J TimpsonEmma E Vincent
Published in: eLife (2023)
This work was supported by the Elizabeth Blackwell Institute for Health Research, University of Bristol, the Wellcome Trust, the Medical Research Council, Diabetes UK, the University of Bristol NIHR Biomedical Research Centre, and Cancer Research UK. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. This work used the computational facilities of the Advanced Computing Research Centre, University of Bristol - http://www.bristol.ac.uk/acrc/.
Keyphrases
  • cross sectional
  • type diabetes
  • healthcare
  • cardiovascular disease
  • papillary thyroid
  • squamous cell
  • metabolic syndrome
  • glycemic control
  • decision making
  • skeletal muscle
  • simultaneous determination