Polygenic score development in the era of large-scale biobanks
In this issue of Cell Genomics, Xu et al. report a comprehensive analysis of the genetics of 26 blood cell traits, leveraging data from two large biobanks to construct and make available machine-learning optimized polygenic scores (PGSs). In addition to delivering insights into the biology and clini...
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| Format: | Book |
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Elsevier,
2022-01-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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| Summary: | In this issue of Cell Genomics, Xu et al. report a comprehensive analysis of the genetics of 26 blood cell traits, leveraging data from two large biobanks to construct and make available machine-learning optimized polygenic scores (PGSs). In addition to delivering insights into the biology and clinical associations of these traits, the authors evaluate and provide recommendations on methods for PGS construction. |
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| Item Description: | 2666-979X 10.1016/j.xgen.2021.100088 |