Incorporating functional priors improves polygenic prediction accuracy in UK Biobank and 23andMe data sets
Incorporating functional information has shown promise for improving polygenic risk prediction of complex traits. Here, the authors describe polygenic prediction method LDpred-funct, and demonstrate its utility across 21 heritable traits in the UK Biobank.
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2021-10-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-021-25171-9 |
| Summary: | Incorporating functional information has shown promise for improving polygenic risk prediction of complex traits. Here, the authors describe polygenic prediction method LDpred-funct, and demonstrate its utility across 21 heritable traits in the UK Biobank. |
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| ISSN: | 2041-1723 |