Scientists and researchers intending to use the data in research related to prevention, diagnosis, and treatment of illness are now able to apply for unlimited access via the UK Biobank website.
6,000 of 100,000 subjects in the world’s largest imaging study have now been analysed for body composition and are available for medical research
Linköping, Sweden and London, UK [January 31, 2018]: UK Biobank, a major national and international health resource, and AMRA, the international leader in body composition analysis, are proud to announce that 6,000 subjects analysed for body composition are now available through the globally-acclaimed health study. Scientists and researchers intending to use the data in research related to prevention, diagnosis, and treatment of illness are now able to apply for unlimited access via the UK Biobank website.
For ten years, UK Biobank has gathered a wide range of crucial information about participants’ health and well-being, including genetic data and the health record data for its 500,000 participants. In 2016, UK Biobank launched the world’s largest health imaging study, focused on dedicated imaging of the brain, heart, bones, carotid arteries, and body composition of 100,000 UK Biobank participants.
AMRA was selected to perform the precise fat and muscle measurement of all 100,000 UK Biobank body MRIs, to be completed over the course of several years of data collection. The company’s analysis of the first 6,000 MRI scans from UK Biobank has already resulted in several accepted abstract presentations by AMRA, clearly showing a link between body composition and coronary heart disease[i], type 2 diabetes[ii], sarcopenia[iii] and an increased healthcare burden associated with visceral obesity.[iv]
Through the phased release of these extensive datasets, UK Biobank will provide scientists and researchers with the ability to support clinical trials and produce the new biomarkers that will allow for the improved prevention, diagnosis, and treatment of a wide range of diseases, from diabetes to dementia. This aligns with one of AMRA’s goals of redefining obesity through better understanding of individual metabolic risk, and to ultimately assist in the prediction and prevention of disease.
Tommy Johansson, Chief Executive Officer of AMRA, commented, “I’m very proud that AMRA was chosen to work with UK Biobank on a project of such scale and value to the scientific community. As the largest imaging study of its kind and one of the most comprehensive, I’m looking forward to watching and learning how this initial data set – and the many scheduled to follow – will be used to help support clinical trials, improve treatments, and ultimately prevent disease. 6,000 MRI scans analysed and available for researchers, with only 94,000 to go!”
Prof. Cathie Sudlow, Chief Scientist of UK Biobank, added, “We’re very excited that the first 15,000 imaging datasets are now available across all imaging modalities, 6,000 of which include AMRA’s body composition analysis – this is a great opportunity for researchers and one that I’m sure will swiftly be taken advantage of. We’re also pleased to announce that UK Biobank has just scanned our 20,000th volunteer and we’re on track to scan the final, 100,000th participant by 2024. Once the entire database is available, it will be one of the world’s most powerful resources for medical research.”
For more information about UK Biobank and how to access the 6,000 imaging data sets, please visit: http://www.ukbiobank.ac.uk
Body composition profiling of four overweight males, presented with two coronal slices (water-fat separated) from their MRI scan with muscle (dark blue, green, yellow, purple), visceral adipose tissue (red), and abdominal subcutaneous adipose tissue (light blue) segmentations. See reference no.1 listed below.
[i] Jennifer Linge, Brandon Whitcher, Alexandra Dumitriu, Magnus Borga, Olof Dahqvist Leinhard, ‘Associating Body Composition Profiling to Propensity for Diabetes,’ Obesity Week 2017, 29 October–2 November, 2017; Washington DC, US.
[ii] Jennifer Linge, Brandon Whitcher, Alexandra Dumitriu, Magnus Borga, Olof Dahqvist Leinhard, ‘Associating Body Composition Profiling to Propensity for Coronary Heart Disease,’ Obesity Week 2017, 29 October–2 November, 2017; Washington DC, US.
[iii] J. West, J. Linge, J. D. Bell, E. L. Thomas, M. Borga, O. Dahlqvist Leinhard, ‘MRI-based body composition profiling of sarcopenia shows association with prior health care burden in a large-scale population study,’ 10th annual Cachexia Congress (SCWD 2017) 8-10 December, 2017; Rome, Italy
[iv] T Romu; J Linge; M Borga; J West; J D Bell; O Dahlqvist Leinhard, ‘Hepatic Steatosis is Associated with Lower Prior
Health Care Burden in Visceral Obesity,’ 24th European Congress on Obesity (ECO 2017) 17–20 May, 2017; Porto, Portugal.