Prospective study design and data analysis in UK Biobank.


Journal

Science translational medicine
ISSN: 1946-6242
Titre abrégé: Sci Transl Med
Pays: United States
ID NLM: 101505086

Informations de publication

Date de publication:
10 Jan 2024
Historique:
medline: 10 1 2024
pubmed: 10 1 2024
entrez: 10 1 2024
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 38198570
doi: 10.1126/scitranslmed.adf4428
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

eadf4428

Auteurs

Naomi E Allen (NE)

UK Biobank Ltd, Stockport, UK.
Nuffield Department of Population Health, University of Oxford, Oxford, UK.

Ben Lacey (B)

UK Biobank Ltd, Stockport, UK.
Nuffield Department of Population Health, University of Oxford, Oxford, UK.

Deborah A Lawlor (DA)

Population Health Science, Bristol Medical School University of Bristol, Bristol, UK.
Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.

Jill P Pell (JP)

School of Health and Wellbeing, University of Glasgow, Scotland.

John Gallacher (J)

Department of Psychiatry, University of Oxford, Oxford, UK.
Dementias Platform UK, Department of Psychiatry, University of Oxford, Oxford, UK.

Liam Smeeth (L)

London School of Hygiene and Tropical Medicine, London, UK.

Paul Elliott (P)

MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
NIHR Health Protection Research Unit in Chemical Radiation Threats and Hazards, Imperial College London, UK.

Paul M Matthews (PM)

UK Dementia Research Centre Institute and Department of Brain Sciences, Imperial College London, London, UK.

Ronan A Lyons (RA)

Population Data Science, Swansea University Medical School, Swansea, Wales.

Anthony D Whetton (AD)

Veterinary Health Innovation Engine, University of Surrey, Guildford, UK.

Anneke Lucassen (A)

Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Faculty of Medicine, Southampton University, Southampton, UK.

Matthew E Hurles (ME)

Wellcome Trust Sanger Institute, Wellcome Genome Campus, Cambridge, UK.

Andrew W Roddam (AW)

Our Future Health, London, UK.

Natalie K Fitzpatrick (NK)

Institute of Health Informatics, University College London, London, UK.

Anna L Hansell (AL)

Centre for Environmental Health and Sustainability, University of Leicester, Leicester, UK.

Rebecca Hardy (R)

School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK.

Riccardo E Marioni (RE)

Centre for Genomic and Experimental Medicine, University of Edinburgh, Edinburgh, Scotland.

Valerie B O'Donnell (VB)

School of Medicine, Cardiff University, Cardiff, Wales.

Julie Williams (J)

UK Dementia Research Institute, Cardiff University, Cardiff, Wales.

Cecilia M Lindgren (CM)

Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.

Mark Effingham (M)

UK Biobank Ltd, Stockport, UK.

Jonathan Sellors (J)

UK Biobank Ltd, Stockport, UK.

John Danesh (J)

British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK.
National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, UK.

Rory Collins (R)

UK Biobank Ltd, Stockport, UK.
Nuffield Department of Population Health, University of Oxford, Oxford, UK.

Classifications MeSH