Prospective study design and data analysis in UK Biobank

Allen, Naoimi, Lacey, Ben, Lawlor, Deborah, Pell, Jill, Gallacher, John, Smeeth, Liam, Elliott, Paul, Matthews, Paul, Lyons, Ronan, Whetton, Anthony, Lucassen, Anneke, Hurles, Matthew, Chapman, Michael, Roddam, Andrew, Fitzpatrick, Natalie, Hansell, Anna, Hardy, Rebecca, Marioni, Riccardo, O'Donnell, Valerie ORCID: https://orcid.org/0000-0003-4089-8460, Williams, Julie ORCID: https://orcid.org/0000-0002-4069-0259, Lindgren, Cecilia, Effingham, Mark, Sellors, Jonathan, Danesh, John and Collins, Rory 2024. Prospective study design and data analysis in UK Biobank. Science Translational Medicine 16 (729) , eadf4428. 10.1126/scitranslmed.adf4428

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Abstract

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.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Medicine MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG)
Publisher:	American Association for the Advancement of Science
ISSN:	1946-6234
Date of First Compliant Deposit:	6 February 2024
Date of Acceptance:	13 December 2023
Last Modified:	07 Nov 2024 09:30
URI:	https://orca.cardiff.ac.uk/id/eprint/165532

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