Multi-ancestry and multi-phenotype integration for increasing power in polygenic prediction
Date:
Prof. Dr. Andreas Mayr kindly invited Yosuke to the Institute for Medical Biometry, Informatics and Epidemiology (IMBIE) at University of Bonn. Yosuke presented his recent works on inclusive polygenic score (iPGS) and multi-PRS. The presentation was followed by questions and discussion and dinner with colleagues at the institute.
Slides
Learning objectives
- Summarize recent methodological developments in polygenic score (PGS) research
- Identify the caveats and limitations of existing approaches to PGS analysis of complex traits
- Plan ways to improve the diversity and inclusion in study designs of human genetics studies
- Plan ways to integrate multiple phenotypes in human genetics studies
Links
References
- Tanigawa and Kellis. Power of inclusion: Enhancing polygenic prediction with admixed individuals. Am J Hum Genet. 2023
- Sinnott-Armstrong, Tanigawa et al. Genetics of 35 blood and urine biomarkers in the UK Biobank. Nat Gen. 2021
- Qian et al. A fast and scalable framework for large-scale and ultrahigh-dimensional sparse regression with application to the UK Biobank. PLoS Gen. 2020.
- Sparse polygenic scores from individual-level data, BASIL algorithm
- Kachuri et al. Principles and methods for transferring polygenic risk scores across global populations. Nat Rev Genet. 2023.
- Review on multi-ancestry-aware PGS methods
- O’Sullivan et al. Polygenic Risk Scores for Cardiovascular Disease: A Scientific Statement From the American Heart Association. Circulation. 2022
- Perspectives on how PGS may inform clinical practice
Thank you, Andy, for the kind invitation and for hosting my visit at Bonn.