Cancer Epidemiology and Risk Prediction Using Large-Scale Cohorts

Summary

Cancer epidemiology, including investigating the associations of risk factors (including lifestyle, anthropometric factors, infectious pathogens, and genetics) and biomarkers (such as metabolomics and proteomics) with various cancers, risk prediction, and outcomes among patients with cancer, using large-scale data such as the China Kadoorie Biobank, UK Biobank, and Clinical Practice Research Datalink (CPRD). Also epidemiology of some other diseases, including cardiometabolic diseases and COVID-19 (in the International Severe Acute Respiratory and emerging Infection Consortium [ISARIC]).

Predicting risk of common cancers

This project may include a review of existing risk prediction models for a particular cancer such as breast, cervix, or prostate, evaluation of risk prediction models in a cohort study, or development of a risk prediction model. The scope of the project can be determined to match the interests of the person working on it. Other projects such as systematic reviews or exploration of risk factors for cancer using analysis of data are possible.

Cancer genomics

This project may be on fine-mapping for a particular cancer, such as ovarian, or on the classification of genetic variants of uncertain significance for breast and other cancers. The scope of the project can be adapted to match the interests of the person working on it.

Main Method: Quantitative Data Analysis / Qualitative Data Analysis / Systematic Review

Available to: FHS, and ASIP students