Multiethnic polygenic risk prediction in diverse populations through transfer learning
Published in Frontiers in Genetics, 2022
This study develops TL-Multi, a transfer learning framework for polygenic risk prediction across diverse populations. The method leverages information from large European GWAS datasets to improve prediction accuracy in populations with smaller available sample sizes.
Recommended citation: Tian, P., Chan, T. H., Wang, Y.-F., Yang, W., Yin, G., Zhang, Y. D. (2022). "Multiethnic polygenic risk prediction in diverse populations through transfer learning." Frontiers in Genetics, 13, 906965.
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