| Title: | Scalable and Robust methods for biobank data analysis |
| Lead Institution: | Seoul National University |
| Principal investigator: | Dr Seunggeun Lee |
Application 45227
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About
Large biobanks such as UK-Biobank are important resources for health research. The detailed genetic information coupled with clinical, behavior and environmental measurements provide a great opportunity to discover new genetic variants associated with diseases, such as heart disease, cancer, and type 2 diabetes. In addition, the data will allow identifying genetic variants whose effects are modified by environmental exposures. These discoveries will enable more precise prediction of individual-level disease risk and help optimize disease screening, prevention, and treatment. However, the large size and complex structure of the Biobank data is a major problem for identifying genetic associations and gene-environmental interactions. This application proposes a methodological and computational development which is an important step towards obtaining the rich information of the biobank data. The developed method will be applied to UK-Biobank data to identify novel genetic variants associated with clinical phenotypes, which will contribute to the prevention and treatment of complex genetic diseases.14 Publications
Enabling scientific discoveries that improve human health