Research Questions:
1. How do genetic and environmental factors interact to influence cancer risk?
2. Can multi-omics data classify cancers and reveal key disease pathways?
3. What therapeutic targets for cancer can be identified through genetic variants?
4. What are the side effects and repurposing potential of anti-cancer drugs?
Objectives:
1. To evaluate how genetic and environmental factors combine to affect the risk of developing cancer.
2. To classify cancer by integrating multi-omics data to reveal crucial biological pathways and molecular networks that contribute to the development of cancer.
3. To identify potential therapeutic targets for cancer by assessing causal relationships between genetic variants associated with cancer risk and modifiable risk factors using mendelian randomization.
4. To investigate the potential side effects and alternative therapeutic applications of drugs by examining genetic variants associated with these medications using Genome-Wide Association Study (GWAS) data from the UK Biobank.
Scientific Rationale:
The UK Biobank offers a unique resource to study complex diseases like cancer. By integrating diverse data, we can uncover novel insights into cancer pathogenesis, improve treatment strategies, and guide public health policies. This research will have significant implications for cancer prevention, early detection, and personalized medicine, ultimately benefiting public health.