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Article

Learning high-order interactions for polygenic risk prediction.

PloS one - 1 Jan 2023

Massi Michela C, Franco Nicola R, Manzoni Andrea, Paganoni Anna Maria, Park Hanla A, Hoffmeister Michael, Brenner Hermann, Chang-Claude Jenny, Ieva Francesca, Zunino Paolo

Abstract excerpt

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-order non-linear SNP-SNP interactions and their effect on the phenotype (e.g. epistasis). Indeed, they incur in a...

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Share to Genetic Predisposition to Disease
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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Multifactorial Inheritance

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Share to Polymorphism, Single Nucleotide

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Identifiers

PMID: 36763605
DOI: 10.1371/journal.pone.0281618
PMCID: PMC9916647

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