Authors: Naomi E. Allen, Ben Lacey, Deborah A. Lawlor, Jill P. Pell, John Gallacher, Liam Smeeth, Paul Elliott, Paul M. Matthews, Ronan A. Lyons, Anthony D. Whetton, Anneke Lucassen, Matthew E. Hurles, Michael Chapman, Andrew W. Roddam, Natalie K. Fitzpatrick, Anna L. Hansell, Rebecca Hardy, Riccardo E. Marioni, Valerie B. O’Donnell, Julie Williams, Cecilia M. Lindgren, Mark Effingham, Jonathan Sellors, John Danesh, Rory Collins
Published: 2024-01-10
DOI: 10.1126/scitranslmed.adf4428
Source: Full article
Population-based prospective studies, such as UK Biobank, are valuable for generating and testing hypotheses about the potential causes of human disease. We describe how UK Biobank’s study design, data access policies, and approaches to statistical analysis can help to minimize error and improve the interpretability of research findings, with implications for other population-based prospective studies being established worldwide.