The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions

Thomas J. Littlejohns (), Jo Holliday, Lorna M. Gibson, Steve Garratt, Niels Oesingmann, Fidel Alfaro-Almagro, Jimmy D. Bell, Chris Boultwood, Rory Collins, Megan C. Conroy, Nicola Crabtree, Nicola Doherty, Alejandro F. Frangi, Nicholas C. Harvey, Paul Leeson, Karla L. Miller, Stefan Neubauer, Steffen E. Petersen, Jonathan Sellors, Simon Sheard, Stephen M. Smith, Cathie L. M. Sudlow, Paul M. Matthews and Naomi E. Allen
Additional contact information
Thomas J. Littlejohns: University of Oxford
Jo Holliday: University of Oxford
Lorna M. Gibson: University of Edinburgh
Steve Garratt: UK Biobank Coordinating Centre
Niels Oesingmann: UK Biobank Coordinating Centre
Fidel Alfaro-Almagro: University of Oxford
Jimmy D. Bell: University of Westminster
Chris Boultwood: UK Biobank Coordinating Centre
Rory Collins: University of Oxford
Megan C. Conroy: University of Oxford
Nicola Crabtree: Birmingham Women’s and Children’s NHS Foundation Trust
Nicola Doherty: UK Biobank Coordinating Centre
Alejandro F. Frangi: Department of Cardiovascular Sciences and Electrical Engineering, KU Leuven
Nicholas C. Harvey: University of Southampton
Paul Leeson: University of Oxford
Karla L. Miller: University of Oxford
Stefan Neubauer: University of Oxford
Steffen E. Petersen: Queen Mary University of Medicine
Jonathan Sellors: University of Oxford
Simon Sheard: UK Biobank Coordinating Centre
Stephen M. Smith: University of Oxford
Cathie L. M. Sudlow: University of Edinburgh
Paul M. Matthews: Imperial College London and UK Dementia Research Institute
Naomi E. Allen: University of Oxford

Nature Communications, 2020, vol. 11, issue 1, 1-12

Abstract: Abstract UK Biobank is a population-based cohort of half a million participants aged 40–69 years recruited between 2006 and 2010. In 2014, UK Biobank started the world’s largest multi-modal imaging study, with the aim of re-inviting 100,000 participants to undergo brain, cardiac and abdominal magnetic resonance imaging, dual-energy X-ray absorptiometry and carotid ultrasound. The combination of large-scale multi-modal imaging with extensive phenotypic and genetic data offers an unprecedented resource for scientists to conduct health-related research. This article provides an in-depth overview of the imaging enhancement, including the data collected, how it is managed and processed, and future directions.

Date: 2020
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DOI: 10.1038/s41467-020-15948-9

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