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Deep learning for polygenic prediction: The role of heritability, interaction type and sample size

2024-10-27

Abstract excerpt

Polygenic scores (PGS), which aggregate the effects of genetic variants to estimate predisposition for a disease or trait, have potential clinical utility in disease prevention and precision medicine. Recently, there has been increasing interest in using deep learning (DL) methods to develop PGS, due to their strength in modelling complex non-linear relationships (such as GxG) that conventional PGS methods may not...

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Literature Corpus work
735a15fb-6d84-5d49-b4e3-f58522a6eed3
DOI
10.1101/2024.10.25.24316156
Open publication

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Deep learning for polygenic prediction: The role of heritability, interaction type and sample sizeDOI 10.1101/2024.10.25.24316156
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