Power of inclusion: Enhancing polygenic prediction with admixed individuals

Yosuke presented his recent work on inclusive polygenic score (iPGS) at Western Bioinformatics Research Seminar at Western University, Ontario, Canada.

Slides

Links

• iPGS data browser
• MIT News
• Author interview by the journal (Am J Hum Genet)
• Paper: Tanigawa and Kellis. Power of inclusion: Enhancing polygenic prediction with admixed individuals. Am J Hum Genet. 2023.

References

• Tanigawa and Kellis. Power of inclusion: Enhancing polygenic prediction with admixed individuals. The American Journal of Human Genetics (2023).
• 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
• 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
• Tanigawa et al. Significant sparse polygenic risk scores across 813 traits in UK Biobank. PLoS Gen. 2022.
  • Application of BASIL across 800+ traits in UK Biobank
  • Data browser: https://biobankengine.stanford.edu/prs

Seminar annoucement

Thank you, Prof. Pingzhao Hu, for invitation!