UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age

PLoS Medicine

Volumn 12, Issue 3, 2015, Pages

  Sudlow, Cathie ^a,b   Gallacher, John ^c   Allen, Naomi ^b,d   Beral, Valerie ^d   Burton, Paul ^e   Danesh, John ^f   Downey, Paul ^g   Elliott, Paul ^g   Green, Jane ^d   Landray, Martin ^d   Liu, Bette ^h   Matthews, Paul ^g   Ong, Giok ⁱ   Pell, Jill ^j   Silman, Alan ^k   Young, Alan ^d   Sprosen, Tim ^d   Peakman, Tim ^b   Collins, Rory ^b,d  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

^b UK BIOBANK   (United Kingdom)

^c CARDIFF UNIVERSITY   (United Kingdom)

^d UNIVERSITY OF OXFORD   (United Kingdom)

^e UNIVERSITY OF BRISTOL   (United Kingdom)

^f UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^g IMPERIAL COLLEGE LONDON   (United Kingdom)

^h UNIVERSITY OF NEW SOUTH WALES   (Australia)

ⁱ UNIVERSITY OF WARWICK   (United Kingdom)

^j UNIVERSITY OF GLASGOW   (United Kingdom)

^k UNIVERSITY OF MANCHESTER   (United Kingdom)

more..

Author keywords

[No Author keywords available]

Indexed keywords

ACCELEROMETRY; ARTICLE; BIOCHEMISTRY; CONCEPTUAL FRAMEWORK; ETHICS; FOLLOW UP; FUNDING; GENOTYPING TECHNIQUE; HUMAN; INFORMATION TECHNOLOGY; INTERVIEW; MEDICAL INFORMATION; MULTIMODAL IMAGING; NATIONAL HEALTH SERVICE; OUTCOME ASSESSMENT; PHYSICAL DISEASE BY DEVELOPMENTAL AGE; QUESTIONNAIRE; UK BIOBANK; ACCESS TO INFORMATION; ADULT; AGED; AGING; BIOBANK; FACTUAL DATABASE; GENOTYPE; MIDDLE AGED; NEOPLASMS; PHENOTYPE; PROSPECTIVE STUDY; RESEARCH; UNITED KINGDOM;

ACCESS TO INFORMATION; ADULT; AGED; AGING; BIOLOGICAL SPECIMEN BANKS; DATABASES, FACTUAL; GENOTYPE; HUMANS; MIDDLE AGED; NEOPLASMS; PHENOTYPE; PROSPECTIVE STUDIES; RESEARCH; UNITED KINGDOM;

EID: 84926430250     PISSN: 15491277     EISSN: 15491676     Source Type: Journal    
DOI: 10.1371/journal.pmed.1001779     Document Type: Article

References (21)

1. Clayton D, McKeigue PM, (2001). Epidemiological methods for studying genes and environmental factors in complex diseases. Lancet 358: 1356–1360. 11684236
2. Willett WC, Blot WJ, Colditz GA, Folsom AR, Henderson BE, Stampfer MJ, (2007). Merging and emerging cohorts: not worth the wait. Nature 445: 257–258. 17230171
3. Collins FS, Manolio TA, (2007). Merging and emerging cohorts: necessary but not sufficient. Nature 445: 259. 17230172
4. Doll R, Peto R, (1981). The causes of cancer: quantitative estimates of avoidable risks of cancer in the United States today. Journal of the National Cancer Institute 66: 1191–1308. 7017215
5. Ollier W, Sprosen T, Peakman T, (2005). UK Biobank: from concept to reality. Pharmacogenomics 6: 639–646. 16143003
6. UK Biobank (2006). Protocol for a large-scale prospective epidemiological resource. www.ukbiobank.ac.uk/resources/.
7. Burton PR, Hansell AL, Fortier I, Manolio TA, Khoury MJ, et al (2009). Size matters: just how big is BIG?: Quantifying realistic sample size requirements for human genome epidemiology. Int J Epidemiol 38: 263–273. doi: 10.1093/ije/dyn147 18676414
8. Hattersley AT, McCarthy MI, (2005). What makes a good genetic association study? Lancet 366: 1315–1323. 16214603
9. Collins R, (2012). What makes UK Biobank special? Lancet 379:1173–1174. doi: 10.1016/S0140-6736(12)60404-8 22463865
10. Elliott P, Peakman TC, (2008). The UK Biobank sample handling and storage protocol for the collection, processing and archiving of human blood and urine. Int J Epidemiol 37: 234–244. doi: 10.1093/ije/dym276 18381398
11. Liu B, Young H, Crowe FL, Benson VS, Spencer EA, et al (2011). Development and evaluation of the Oxford WebQ: a low cost web-based method for assessment of previous 24 hour dietary intake in large prospective studies. Public Health Nutrition June: 1–8.
12. Clarke R, Shipley M, Lewington S, Youngman L, Collins R, et al (1999). Underestimation of risk associations due to regression dilution in long-term follow-up of prospective studies. Am J Epidemiol 150: 341–353. 10453810
13. University of Leicester. About the 1958 Birth Cohort Study. http://www2.le.ac.uk/projects/birthcohort/1958bc/about. Accessed 12 October 2014
14. Sax Institute. 45 and up study. https://www.saxinstitute.org.au/our-work/45-up-study/. Accessed 12 October 2014
15. Pell J, Valentine J, Inskip H, (2014). One in 30 people in the UK take part in cohort studies. Lancet 383: 1015–1016. doi: 10.1016/S0140-6736(14)60412-8 24656186
16. Downey P, Peakman TC, (2008). Design and implementation of a high-throughput biological sample processing facility using modern manufacturing principles. Int J Epidemiol 37 (Suppl 1): i46–i50. doi: 10.1093/ije/dyn031 18381393
17. Manolio TA, (2008). Biorepositories—at the bleeding edge. Int J Epidemiol 37: 231–233. doi: 10.1093/ije/dym282 18381397
18. Barbour V, (2003). UK Biobank: a project in search of a protocol? Lancet 361: 1734–1738.
19. UK Biobank (2007). Ethics and Governance Framework. www.ukbiobank.ac.uk/resources/. Accessed 12 October 2014.
20. UK Biobank (2011). Access Procedures: Application and review procedures for access to the UK Biobank Resource. www.ukbiobank.ac.uk/resources/. Accessed 12 October 2014.
21. Manolio TA, Collins R, (2010). Enhancing the feasibility of large cohort studies. JAMA 304: 2290–2291. doi: 10.1001/jama.2010.1686 21098774