I am working on two projects that involve aggregating information across genes and/or diseases:
- A Mendelian risk prediction model used for pre-screening for a test of any cancer that avoids needing comprehensive family history and robust parameter estimates for rare genes and syndromes.
- A utility tool for evaluating the addition and removal of genes in a panel test, based on both quantitative measures and individualized utility costs.