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Review
. 2024 Jan 10;16(729):eadf4428.
doi: 10.1126/scitranslmed.adf4428. Epub 2024 Jan 10.

Prospective study design and data analysis in UK Biobank

Affiliations
Review

Prospective study design and data analysis in UK Biobank

Naomi E Allen et al. Sci Transl Med. .

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.

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Conflict of interest statement

Competing interests: All authors are past or present members of the UK Biobank Strategic Oversight Committee or the UK Biobank Senior Team. J.D. serves on scientific advisory boards for AstraZeneca and Novartis. R.C. is named on US patent no. 9957563B2 regarding a statin-related myopathy genetic test, but any share in royalty and other payments has been waived in favor of the Nuffield Department of Population Health, University of Oxford. R.E.M. is a scientific advisor to Optima Partners and the Epigenetic Clock Development Foundation and has received a speaker fee from Illumina. P.M.M. has received consultancy or speaker fees from Roche, Merck, Biogen, Rejuveron, Sangamo, Nodthera, Novartis, and Biogen. P.M.M. has received research or educational funds from Biogen, Novartis, Merck, and GlaxoSmithKline.

Figures

Fig. 1.
Fig. 1.. Types of data in UK Biobank.
Shown are the types of data collected in UK Biobank, including data collected at in-person assessments such as lifestyle factors, medical history, blood pressure and other physical measures, and imaging scans. Other data include information from online questionnaires, data generated from biological samples, and data derived from electronic health care records.
Fig. 2.
Fig. 2.. Incident disease cases since recruitment.
Shown is the proportion of incident cases for three common diseases (myocardial infarction, diabetes, and COPD) ascertained since recruitment of these participants into UK Biobank. Disease cases were identified through hospital inpatient admissions, primary care (i.e., data from general practitioners) data, and death data available in electronic health care records.

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