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Improving genetic risk prediction across diverse population by disentangling ancestry representations
Risk prediction models using genetic data have seen increasing traction in genomics. However, most of the polygenic risk models were developed using data from participants with similar (mostly European) ancestry. This can lead to biases in the risk predictors resulting in poor generalization when ap...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10517023/ https://www.ncbi.nlm.nih.gov/pubmed/37736834 http://dx.doi.org/10.1038/s42003-023-05352-6 |