Factorizing polygenic epistasis improves prediction and uncovers biological pathways in complex traits.

doi:10.1016/j.ajhg.2023.10.002

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Article

Factorizing polygenic epistasis improves prediction and uncovers biological pathways in complex traits.

American journal of human genetics - 2 Nov 2023

Tang David, Freudenberg Jerome, Dahl Andy

Abstract excerpt

Epistasis is central in many domains of biology, but it has not yet been proven useful for understanding the etiology of complex traits. This is partly because complex-trait epistasis involves polygenic interactions that are poorly captured in current models. To address this gap, we developed a model called Epistasis Factor Analysis (EFA). EFA assumes that polygenic epistasis can be factorized into interactions...

Topics

Humans
Multifactorial Inheritance
Epistasis, Genetic
Polymorphism, Single Nucleotide
Phenotype
Models, Genetic

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Identifiers

PMID: 37922884
DOI: 10.1016/j.ajhg.2023.10.002
PMCID: PMC10645564

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 31 Aug 2026.

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