The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions
University of Oxford · Edinburgh Royal Infirmary · +12 more institutions
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.
Citation impact
- FWCI
- 41.58
- Percentile
- 100%
- References
- 99
Authors
24Topics & keywords
- Biobank
- Cohort
- Magnetic resonance imaging
- Medicine
- Population
- Medical physics
- Data science
- Computer science
Funding
- GGlaxoSmithKline
- BBiogen
- CCelgene
- WTWellcome TrustAwards: /Z/15/Z, 107190
- NINational Institute for Health and Care Research
- BHBritish Heart Foundation
- RARoyal Academy of EngineeringAward: CiET1819/19
- ICImperial College LondonAward: H2020
- ECEuropean CommissionAwards: H2020-SC1-PM-16-2017-777119, H2020-SC1-PM-17-2017-777090, 601055, ICT-2011, FP7-ICT-2011-9, H2020, FP7-ICT-2011-9-601055, FP7-ICT, H2020-SC1, FP7-ICT-2011, 777090, 777119
- IIpsen
- UDUK Dementia Research Institute
- DPDementias Platform UK
- H2Horizon 2020 Framework ProgrammeAwards: 777119, H2020-SC1, 777090
- MRMedical Research CouncilAwards: MR/K501013/1, MC_PC_17228, MR/N026934/1, MC_PC_17114, MC_PC_15067
- EAEngineering and Physical Sciences Research CouncilAwards: EP/N026993/1, H2020, FP7-ICT-2011-9-601055, EP/N026993/1
- BRBiomedical Research Council
- NONIHR Oxford Biomedical Research Centre
- FIFP7 Information and Communication TechnologiesAward: FP7-ICT-2011-9-601055