Foster, PJ;
Atan, D;
Khawaja, A;
Lotery, A;
MacGillivray, T;
Owen, CG;
Patel, PJ;
Petzold, A;
Rudnicka, A;
Sun, Z;
et al.
Foster, PJ; Atan, D; Khawaja, A; Lotery, A; MacGillivray, T; Owen, CG; Patel, PJ; Petzold, A; Rudnicka, A; Sun, Z; Sheard, S; Allen, N; UK Biobank and UK Biobank Eye and Vision Consortium
(2023)
Cohort profile: rationale and methods of UK Biobank repeat imaging study eye measures to study dementia.
BMJ Open, 13 (6).
e069258.
ISSN 2044-6055
https://doi.org/10.1136/bmjopen-2022-069258
SGUL Authors: Owen, Christopher Grant
Abstract
PURPOSE: The retina provides biomarkers of neuronal and vascular health that offer promising insights into cognitive ageing, mild cognitive impairment and dementia. This article described the rationale and methodology of eye and vision assessments with the aim of supporting the study of dementia in the UK Biobank Repeat Imaging study. PARTICIPANTS: UK Biobank is a large-scale, multicentre, prospective cohort containing in-depth genetic, lifestyle, environmental and health information from half a million participants aged 40-69 enrolled in 2006-2010 across the UK. A subset (up to 60 000 participants) of the cohort will be invited to the UK Biobank Repeat Imaging Study to collect repeated brain, cardiac and abdominal MRI scans, whole-body dual-energy X-ray absorptiometry, carotid ultrasound, as well as retinal optical coherence tomography (OCT) and colour fundus photographs. FINDINGS TO DATE: UK Biobank has helped make significant advances in understanding risk factors for many common diseases, including for dementia and cognitive decline. Ophthalmic genetic and epidemiology studies have also benefited from the unparalleled combination of very large numbers of participants, deep phenotyping and longitudinal follow-up of the cohort, with comprehensive health data linkage to disease outcomes. In addition, we have used UK Biobank data to describe the relationship between retinal structures, cognitive function and brain MRI-derived phenotypes. FUTURE PLANS: The collection of eye-related data (eg, OCT), as part of the UK Biobank Repeat Imaging study, will take place in 2022-2028. The depth and breadth and longitudinal nature of this dataset, coupled with its open-access policy, will create a major new resource for dementia diagnostic discovery and to better understand its association with comorbid diseases. In addition, the broad and diverse data available in this study will support research into ophthalmic diseases and various other health outcomes beyond dementia.
Item Type: |
Article
|
Additional Information: |
© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/
This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
Keywords: |
dementia, epidemiology, ophthalmology, Humans, Prospective Studies, Biological Specimen Banks, Retina, Eye Diseases, Dementia, United Kingdom, UK Biobank and UK Biobank Eye and Vision Consortium, Retina, Humans, Dementia, Eye Diseases, Prospective Studies, Biological Specimen Banks, United Kingdom, ophthalmology, epidemiology, dementia, 1103 Clinical Sciences, 1117 Public Health and Health Services, 1199 Other Medical and Health Sciences |
SGUL Research Institute / Research Centre: |
Academic Structure > Population Health Research Institute (INPH) |
Journal or Publication Title: |
BMJ Open |
ISSN: |
2044-6055 |
Language: |
eng |
Dates: |
Date | Event |
---|
23 June 2023 | Published | 22 May 2023 | Accepted |
|
Publisher License: |
Creative Commons: Attribution 4.0 |
Projects: |
|
PubMed ID: |
37355273 |
Web of Science ID: |
WOS:001021531400034 |
![](http://static.pubmed.gov/portal/portal3rc.fcgi/2745237/img/27842) |
Go to PubMed abstract |
URI: |
https://openaccess.sgul.ac.uk/id/eprint/115722 |
Publisher's version: |
https://doi.org/10.1136/bmjopen-2022-069258 |
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