| Application: | 9659, A genetic investigation of pleiotropy using the UK Biobank Data. |
| Title: | PRS initial release (Version 1) |
| Size: | 76.1 MB |
| Archived: | 27 Mar 2024 |
| Stability: | Updateable |
| Personal: | Contains individual-level data |
Return 2340
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Notes
Polygenic risk scores (PRSs) as described in Thompson et al 2022 . Data supporting these scores were obtained either entirely from external GWAS data (the Standard PRS set) or from a combination of external and internal UK Biobank data (the Enhanced PRS set). This work was conducted by Genomics PLC under UK Biobank project 9659.This is an archive of values previously held on showcase (Version 1 - Before May 2024). For up to date PRS values (Version 2), see Category 300.
Application 9659
A genetic investigation of pleiotropy using the UK Biobank Data.
The aim of the proposed research is to understand pleiotropy: that is the nature, extent, and effect of genetic variation on multiple phenotypes. The extent of pleiotropy in humans is an important open question. Apart from inherent interest, it is directly relevant to the use of human genetics for improving drug development pipelines (see below). By their nature, studies of pleiotropy require data on multiple phenotypes. We aim to investigate pleiotropy using genetic data together with baseline measurements and the biomarker data (as it becomes available). Our analysis ultimately aims to inform decisions about which genes and pathways are the best targets for drug development. The efficacy and safety of therapeutics depends on the consequences of perturbations, by the drug, of particular gene products. Genetic variants also perturb the nature or amount of gene products, and is informative for drug efficacy, with effects on other phenotypes informative for on-target safety effects. The proposed work, mainly on non-clinical phenotypes, will involve proof-of-principle studies and development of statistical methods. We will make a further application when more clinical phenotypes are available in UK Biobank The research will use computers to build statistical models of the correlation between the genetic variation in an individual?s genome and biological measurements collected by UK Biobank. We can use the research to ask: if the genetic difference in a gene mimics or is related to the effects of a treatment what is likely to be the (positive and negative) effects of giving it to patients? To do this effectively we will look at the relationship between genetic variation and multiple phenotypes at the same time. Full cohort.
| Lead investigator: | Professor Peter Donnelly |
| Lead institution: | Genomics PLC |
2 related Returns
| Return ID | App ID | Description | Archive Date |
|---|---|---|---|
| 3241 | 9659 | An Integrated Polygenic Tool Substantially Enhances Coronary Artery Disease Prediction | 17 Mar 2021 |
| 3242 | 9659 | Validation of an Integrated Risk Tool, Including Polygenic Risk Score, for Atherosclerotic Cardiovascular Disease in Multiple Ethnicities and Ancestries | 17 Mar 2021 |
Enabling scientific discoveries that improve human health