UK Biobank: Current status and what it means for epidemiology

By N. Allen, C. Sudlow, P. Downey, T. Peakman, John Danesh, Paul Elliott, J. Gallacher, J. Green, Paul M. Matthews, J. Pell and 2 more. 2012

508 citations recorded by the source corpus.

Subfields: Genetics, Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

1. D. Liewald
2. Ian J. Deary
3. Bernhard Schölkopf
4. Michael V. Lombardo
5. Bonnie Auyeung

In Health, Toxicology and Mutagenesis

1. Ian J. Deary

Citations in the corpus

• The Incomplete Rosetta Stone problem: Identifiability results for Multi-view Nonlinear ICA (2019, background): “Multiview settings of this sort are common in large biomedical and neuroimaging datasets [1, 30, 41, 36], motivating the need for reliable statistical tools enabling simultaneous handling of multiple sets of variables.”
• The acceptability of repeat Internet-based hybrid diet assessment of previous 24-h dietary intake: administration of the Oxford WebQ in UK Biobank. (2016, background): “However, the sample still shows sufficiently large numbers of participants with different levels of potential risk factors, allowing for generalisable associations between baseline characteristics and subsequent health outcomes to be made((10,24)).”
• Sex differences in the adult human brain: Evidence from 5,216 UK Biobank participants (2017, methodology): “Data on many thousands of further MRI scans (to a maximum sample of 100,000 with MRI data) will be available from UK Biobank in the coming months and years, in addition to more complex cognitive testing batteries and genotypic data.”
• Multimodal population brain imaging in the UK Biobank prospective epidemiological study (2016, unknown): “The order is: (1) T1, (2) resting fMRI, (3) task fMRI, (4) T2 FLAIR, (5) dMRI, (6) swMRI.”