Prospective study design and data analysis in UK Biobank

Naomi E Allen; Ben Lacey; Deborah A Lawlor; J. 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

doi:10.1126/scitranslmed.adf4428

Prospective study design and data analysis in UK Biobank

Naomi E Allen, Ben Lacey, Deborah A Lawlor, J. 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 WilliamsCecilia M Lindgren, Mark Effingham, Jonathan Sellors, John Danesh, Rory Collins

Research output: Contribution to journal › Review article › peer-review

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.

Original language	English
Pages (from-to)	eadf4428
Journal	Science Translational Medicine
Volume	16
Issue number	729
DOIs	https://doi.org/10.1126/scitranslmed.adf4428
Publication status	Published - 10 Jan 2024

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Allen, N. E., Lacey, B., Lawlor, D. A., Pell, J. P., Gallacher, J., Smeeth, L., Elliott, P., Matthews, P. M., Lyons, R. A., Whetton, A. D., Lucassen, A., Hurles, M. E., Chapman, M., Roddam, A. W., Fitzpatrick, N. K., Hansell, A. L., Hardy, R., Marioni, R. E., O'Donnell, V. B., ... Collins, R. (2024). Prospective study design and data analysis in UK Biobank. Science Translational Medicine, 16(729), eadf4428. https://doi.org/10.1126/scitranslmed.adf4428

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title = "Prospective study design and data analysis in UK Biobank",

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.",

author = "Allen, {Naomi E} and Ben Lacey and Lawlor, {Deborah A} and Pell, {J. P.} and John Gallacher and Liam Smeeth and Paul Elliott and Matthews, {Paul M} and Lyons, {Ronan A} and Whetton, {Anthony D} and Anneke Lucassen and Hurles, {Matthew E} and Michael Chapman and Roddam, {Andrew W} and Fitzpatrick, {Natalie K} and Hansell, {Anna L} and Rebecca Hardy and Marioni, {Riccardo E} and O'Donnell, {Valerie B} and Julie Williams and Lindgren, {Cecilia M} and Mark Effingham and Jonathan Sellors and John Danesh and Rory Collins",

note = "Funding Information: and environmental determinants of a wide range of diseases of middle-to-old age (https://ukbiobank.ac.uk). It was established by the UK Medical Research Council (MRC) and Wellcome, which continue to fund it along with the British Heart Foundation, Cancer Research UK (CRUK), and the National Institute for Health and Care Research. The key design features are its easy accessibility, large-scale prospective nature, depth and range of risk factor data, and comprehensive linkage to health outcomes, which together enable academic and industry researchers worldwide to perform discovery science (table S1). Publisher Copyright: {\textcopyright} 2024 The Authors.",

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Allen, NE, Lacey, B, Lawlor, DA, Pell, JP, Gallacher, J, Smeeth, L, Elliott, P, Matthews, PM, Lyons, RA, Whetton, AD, Lucassen, A, Hurles, ME, Chapman, M, Roddam, AW, Fitzpatrick, NK, Hansell, AL, Hardy, R, Marioni, RE, O'Donnell, VB, Williams, J, Lindgren, CM, Effingham, M, Sellors, J, Danesh, J & Collins, R 2024, 'Prospective study design and data analysis in UK Biobank', Science Translational Medicine, vol. 16, no. 729, pp. eadf4428. https://doi.org/10.1126/scitranslmed.adf4428

TY - JOUR

T1 - Prospective study design and data analysis in UK Biobank

AU - Allen, Naomi E

AU - Lacey, Ben

AU - Lawlor, Deborah A

AU - Pell, J. P.

AU - Gallacher, John

AU - Smeeth, Liam

AU - Elliott, Paul

AU - Matthews, Paul M

AU - Lyons, Ronan A

AU - Whetton, Anthony D

AU - Lucassen, Anneke

AU - Hurles, Matthew E

AU - Chapman, Michael

AU - Roddam, Andrew W

AU - Fitzpatrick, Natalie K

AU - Hansell, Anna L

AU - Hardy, Rebecca

AU - Marioni, Riccardo E

AU - O'Donnell, Valerie B

AU - Williams, Julie

AU - Lindgren, Cecilia M

AU - Effingham, Mark

AU - Sellors, Jonathan

AU - Danesh, John

AU - Collins, Rory

N1 - Funding Information: and environmental determinants of a wide range of diseases of middle-to-old age (https://ukbiobank.ac.uk). It was established by the UK Medical Research Council (MRC) and Wellcome, which continue to fund it along with the British Heart Foundation, Cancer Research UK (CRUK), and the National Institute for Health and Care Research. The key design features are its easy accessibility, large-scale prospective nature, depth and range of risk factor data, and comprehensive linkage to health outcomes, which together enable academic and industry researchers worldwide to perform discovery science (table S1). Publisher Copyright: © 2024 The Authors.

PY - 2024/1/10

Y1 - 2024/1/10

N2 - 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.

AB - 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.

U2 - 10.1126/scitranslmed.adf4428

DO - 10.1126/scitranslmed.adf4428

M3 - Review article

C2 - 38198570

SN - 1946-6234

VL - 16

SP - eadf4428

JO - Science Translational Medicine

JF - Science Translational Medicine

IS - 729

ER -

Prospective study design and data analysis in UK Biobank

Abstract

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