Multiethnic polygenic risk prediction in diverse populations through transfer learning

HIGHLIGHTS

• who: August et al. from the University of Texas MD Anderson Cancer Center, United States have published the paper: Multiethnic polygenic risk prediction in diverse populations through transfer learning, in the Journal: (JOURNAL)
• what: By using GWAS summary statistics from different ancestries and incorporating the idea of transfer learning (Li et_al, 2022), the authors propose a novel statistical method called TL-Multi to enhance the transferability of polygenic risk prediction across diverse populations.
• how: For practical analysis the authors investigated TL-Multi prediction performance with informative auxiliary European samples from UK Biobank (https . . .
  

   

  

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