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

Author

Listed:
  • Thomas J. Littlejohns

    (University of Oxford)

  • Jo Holliday

    (University of Oxford)

  • Lorna M. Gibson

    (University of Edinburgh
    New Royal Infirmary 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
    University of Leeds)

  • 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
    UK Biobank Coordinating Centre)

  • 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)

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.

Suggested Citation

  • 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 & N, 2020. "The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-15948-9
    DOI: 10.1038/s41467-020-15948-9
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    Cited by:

    1. Bingxin Zhao & Yujue Li & Zirui Fan & Zhenyi Wu & Juan Shu & Xiaochen Yang & Yilin Yang & Xifeng Wang & Bingxuan Li & Xiyao Wang & Carlos Copana & Yue Yang & Jinjie Lin & Yun Li & Jason L. Stein & Joa, 2024. "Eye-brain connections revealed by multimodal retinal and brain imaging genetics," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
    2. Andrea I. Luppi & Helena M. Gellersen & Zhen-Qi Liu & Alexander R. D. Peattie & Anne E. Manktelow & Ram Adapa & Adrian M. Owen & Lorina Naci & David K. Menon & Stavros I. Dimitriadis & Emmanuel A. Sta, 2024. "Systematic evaluation of fMRI data-processing pipelines for consistent functional connectomics," Nature Communications, Nature, vol. 15(1), pages 1-24, December.
    3. Saaket Agrawal & Marcus D. R. Klarqvist & Nathaniel Diamant & Takara L. Stanley & Patrick T. Ellinor & Nehal N. Mehta & Anthony Philippakis & Kenney Ng & Melina Claussnitzer & Steven K. Grinspoon & Pu, 2023. "BMI-adjusted adipose tissue volumes exhibit depot-specific and divergent associations with cardiometabolic diseases," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    4. Catherine M. Francis & Matthias E. Futschik & Jian Huang & Wenjia Bai & Muralidharan Sargurupremraj & Alexander Teumer & Monique M. B. Breteler & Enrico Petretto & Amanda S. R. Ho & Philippe Amouyel &, 2022. "Genome-wide associations of aortic distensibility suggest causality for aortic aneurysms and brain white matter hyperintensities," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    5. Kung, Claryn S.J. & Pudney, Stephen E. & Shields, Michael A., 2022. "Economic gradients in loneliness, social isolation and social support: Evidence from the UK Biobank," Social Science & Medicine, Elsevier, vol. 306(C).
    6. Parsa Akbari & Olukayode A. Sosina & Jonas Bovijn & Karl Landheer & Jonas B. Nielsen & Minhee Kim & Senem Aykul & Tanima De & Mary E. Haas & George Hindy & Nan Lin & Ian R. Dinsmore & Jonathan Z. Luo , 2022. "Multiancestry exome sequencing reveals INHBE mutations associated with favorable fat distribution and protection from diabetes," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    7. Celeste McCracken & Zahra Raisi-Estabragh & Michele Veldsman & Betty Raman & Andrea Dennis & Masud Husain & Thomas E. Nichols & Steffen E. Petersen & Stefan Neubauer, 2022. "Multi-organ imaging demonstrates the heart-brain-liver axis in UK Biobank participants," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    8. Saaket Agrawal & Minxian Wang & Marcus D. R. Klarqvist & Kirk Smith & Joseph Shin & Hesam Dashti & Nathaniel Diamant & Seung Hoan Choi & Sean J. Jurgens & Patrick T. Ellinor & Anthony Philippakis & Me, 2022. "Inherited basis of visceral, abdominal subcutaneous and gluteofemoral fat depots," Nature Communications, Nature, vol. 13(1), pages 1-17, December.

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