Sparse modeling of interactions enables fast detection of genome-wide epistasis in biobank-scale studies

Abstract excerpt

The lack of computational methods capable of detecting epistasis in biobanks has led to uncertainty about the role of non-additive genetic effects on complex trait variation. The marginal epistasis framework is a powerful approach because it estimates the likelihood of a SNP being involved in any interaction, thereby reducing the multiple testing burden. Current implementations of this approach have failed to scal...

Topics

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• Algorithms
• Biological Specimen Banks
• Epistasis, Genetic
• Genome, Human
• Genome-Wide Association Study
• Models, Genetic
• Multifactorial Inheritance
• Quantitative Trait Loci

Identifiers and source

Literature Corpus work

9cfe2230-f163-56d0-9110-410236c81148

DOI

10.1101/2025.01.11.632557