- Location
- Maple Room, University of Toronto Room UY9014, 700 University Avenue, 9th Floor
- Series/Type
- Community Outreach Event, Seminar
- Dates
- December 2, 2022 from 12:00pm to 1:00pm
Links
Translating results from large-scale genetic association studies into public health-relevant measures
Abstract:
I will describe different efforts that our team is pursuing to translate results from genome-wide association studies into clinically and public-health-relevant applications. The talk will touch upon the use of polygenic scores for disease prediction and their value in informing patients’ disease prognosis. I will discuss our recent work in mapping the impact of genetic risk factors on healthy life years (Jukarainen et al, Nature Medicine, 2022) and the use of genetics to understand the causal impact of modifiable risk factors on healthcare costs. Finally, I will show how nationwide registry data, together with genetic information, can enhance high-throughput epidemiological analyses to answer public health-relevant questions, such as COVID-19 vaccination uptake.
Speaker Profile:
Andrea is an EMBL-group leader at FIMM and Research Associate at Harvard Medical School and Massachusetts General Hospital. Previously he did his post-doc at the Analytical and Translation Genetic Unit at Massachusetts General Hospital/Harvard Medical School/Broad Institute and his PhD at Karolinska Institute. His research interests lie on the intersection between epidemiology, genetics and statistics. Andrea have authored and co-authored both methodological and applied papers focused on leveraging large scale epidemiological datasets to identify novel socio-demographic, metabolic and genetic markers of common complex diseases. He has extensive expertise in statistical genetics and have been working with large-scale exome and genome sequencing data, focusing on ultra-rare variants in coding and non-coding regions. His research vision is to integrate genetic data and information from electronic health record/national health registries to enhance early detection of common diseases and public health interventions.
