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Multi-PGS enhances polygenic prediction by combining 937 polygenic scores
The predictive performance of polygenic scores (PGS) is largely dependent on the number of samples available to train the PGS. Increasing the sample size for a specific phenotype is expensive and takes time, but this sample size can be effectively increased by using genetically correlated phenotypes...
Autores principales: | Albiñana, Clara, Zhu, Zhihong, Schork, Andrew J., Ingason, Andrés, Aschard, Hugues, Brikell, Isabell, Bulik, Cynthia M., Petersen, Liselotte V., Agerbo, Esben, Grove, Jakob, Nordentoft, Merete, Hougaard, David M., Werge, Thomas, Børglum, Anders D., Mortensen, Preben Bo, McGrath, John J., Neale, Benjamin M., Privé, Florian, Vilhjálmsson, Bjarni J. |
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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/PMC10404269/ https://www.ncbi.nlm.nih.gov/pubmed/37543680 http://dx.doi.org/10.1038/s41467-023-40330-w |
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