How new UKBiobank data can help you to move your PHd projects forward
New data from whole-genome sequencing of half a million participants are available to approved researchers worldwide. This abundance of genomic data is unparalleled, especially in combination with the wealth of data that UK Biobank has collected over the past 15 years on lifestyle, whole body imaging scans, health information, and proteins found in the blood.
Hugely increased scope for development of Genome-Wide Association Studies
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Most GWAS require very large sample sizes to identify reproducible genome-wide significant associations. Data from whole-genome sequencing from 500,000 participants offers a clearer picture of the variants that don't code for proteins and how different genes are expressed. In addition, more advanced technology can identify variants in the non-coding regions, as well as special structural variants. This will allow for the identification of rare non-coding variants which may have effects on disease risk. Data linkage to EHRs, imaging data, and deep phenotype data can also be used in collaboration with whole-genome sequencing. |
Enhanced ability to carry out more extensive research into Rare Diseases
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Research into Rare Diseases has remained partly hindered by the fact that such diseases only occur in a small percentage of the general population. Genomic sequencing with the use of next-generation sequencing technologies has proven to be an alternative to locus-specific and gene-panel tests in research for establishing a new genetic basis of disease. With so many more participants sequenced, there is more scope to identify potential variants that cause rare diseases. Comprehensive data related to non-coding regions of the genome allow for research into how these genes are controlling the expression of proteins that might result in disease. |
Cloud-based storage means no requirement for I.T. infrastructure or large downloads
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This whole-genome sequencing data, plus all other data, are now globally accessible for approved researchers on the UK Biobank Research Analysis Platform. This is the first time that a globally accessible resource, plus the required computing power and storage, has been made available to researchers. Complex analyses can be run quickly and easily, enabling a rapid move from hypothesis to insight. Researchers can use the platform's analysis and visualisation tools, or bring in their own applications. The Research Analysis Platform increases the scale and accessibility of a comprehensive biomedical database, removing the need for client institutions to have pre-existing I.T. infrastructure. |
Expanded ability to understand more about, and develop, precision medicine |
With a sample size of 500,000 people, plus data collected on over 10,000 variables (such as blood pressure, cognitive function, diet and bone density) researchers using UK Biobank will be able to drive tailored healthcare, such as investigating why those with the same genetic predisposition for a disease have different outcomes, as well as reactions and side-effects to treatments. As the definition suggests, the power of precision medicine lies in its ability to guide health care decisions toward the most effective treatment for a given patient, and thus, improve care quality, while reducing the need for unnecessary diagnostic testing and therapies. |
Case studies
Professor Soyeon Ahn Seoul National University, Bundang Hospital |
Comprehensive genetic correlation of disease from the point of germline structural variations associated with clinical phenotypes |
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Ms Shirin Tan Universiti Malaysia Sarawak |
Identification, Characterisation and Structural Elucidation of Significant Exome Variations in Cancers of Digestive System in Asians |
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Dr Chester Lee Drum National University of Singapore |
Genotypes and phenotypes associated with major adverse cardiovascular events: A phewas study of Southeast and European populations |
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Professor Atsushi Goto Tutor Yokohama City University |
Mendelian randomization study to investigate diabetes medications and diabetes-related phenotypes related to risk of cancer and mortality |
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Dr Ruth Dubin University of Texas (UTSW) |
Investigating Causality for Protein Risk Factors of CKD Progression and Cardiovascular Disease |
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Dr Joanna Cole University of Colorado |
Comparing genome architecture across diverse populations between the UK Biobank and at the Colorado Center for Personalized Medicine |
Find out more |
Get in touch and we can provide guidance
If you are interested, and want to know more, please let us know.
About whole-genome sequencing of 500,000 participants |
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“Bringing together science and technology to deepen our understanding of patients, human biology, and disease mechanisms is a key part of the discovery and development of new medicines, and the work of UK Biobank has been central to our approach. There is no other resource like it that combines genetic, biological and clinical data and then makes those data available to researchers across the industry with the goal of improving health. The partnership across the UK life sciences ecosystem has been critical to make this all possible”
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"From the sequencing of the genomes themselves through to innovative and secure data storage, the release of this rich dataset marks a significant and impressive moment in scientific research. It’s truly field-opening for understanding the interactions between our genetics, environment and health"- - Cheryl Moore, Chief Research Programmes Officer, Wellcome Trust |
"This ground-breaking dataset allows scientists to explore how genetics affect levels of proteins, metabolites and other physiological factors, more closely than ever before, promising to accelerate our understanding of the genetic underpinnings of disease"
- - David Reese, Executive Vice President R&D, Amgen |
“. . .an important milestone in UKRI’s commitment to realise the potential of genetics for biomedical research, innovation and translation to the clinic”
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How much does it cost? |
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Core Data |
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Included in: | TIER 1 | TIER 2 | TIER 3 |
YES | YES | YES | |
Assay data and enhanced measures |
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Included in: | TIER 1 | TIER 2 | TIER 3 |
YES | YES | ||
Very large datasets |
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Included in: | TIER 1 | TIER 2 | TIER 3 |
YES | |||
Price |
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TIER 1 | TIER 2 | TIER 3 | |
£3000 | £6000 (+£3,000 vs Tier 1) | £9000 (+£3,000 vs Tier 2) | |
Additional institution fee - each additional institution added to an application: £1,000 for first 3 years (£500 p.a. extension) | |||
Low and middle income countries and student researchers** - access to all data sets via the Research Analysis Platform (full fees apply to downloaded data): £500 for first 3 years (£175 p.a. extension) |
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