Evaluating and improving health equity and fairness of polygenic scores

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Description

Dr. Tianyu Zhang from Carnegie Mellon University will discuss a new polygenic score framework and how it may benefit underrepresented populations.

Overview of Presentation

  • Genetic scores of individuals can be used to predict their traits, such as eventual disease status.
  • These polygenic scores work best in the ancestry from which they were developed. Lack of portability across ancestries violates fairness principles and could generate clinical harm.
  • We propose a computationally efficient method—Joint Lassosum—to improve the portability.
  • A systematic simulation study is presented to answer when and how much the proposed framework would improve the score prediction accuracy for underrepresented ancestry groups.