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Epistatic Features and Machine Learning Improve Alzheimer’s Risk Prediction Over Polygenic Risk Scores
BACKGROUND. Polygenic risk scores (PRS) are linear combinations of genetic markers weighted by effect size that are commonly used to predict disease risk. For complex heritable diseases such as late onset Alzheimer’s disease (LOAD), PRS models fail to capture much of the heritability. Additionally,...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Cold Spring Harbor Laboratory
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9934790/ https://www.ncbi.nlm.nih.gov/pubmed/36798198 http://dx.doi.org/10.1101/2023.02.10.23285766 |