Learning high-order interactions for polygenic risk prediction.

Learning high-order interactions for polygenic risk prediction.

Within the framework of precision medicine, the stratification of individual genetic susceptibility based on inherited DNA variation has paramount relevance. However, one of the most relevant pitfalls of traditional Polygenic Risk Scores (PRS) approaches is their inability to model complex high-orde...

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Bibliographic Details
Main Authors: Michela C Massi, Nicola R Franco, Andrea Manzoni, Anna Maria Paganoni, Hanla A Park, Michael Hoffmeister, Hermann Brenner, Jenny Chang-Claude, Francesca Ieva, Paolo Zunino
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0281618

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https://doi.org/10.1371/journal.pone.0281618

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