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Article

Novel Alzheimer's disease genes and epistasis identified using machine learning GWAS platform.

Scientific reports - 17 Oct 2023

Lundberg Mischa, Sng Letitia M F, Szul Piotr, Dunne Rob, Bayat Arash, Burnham Samantha C, Bauer Denis C, Twine Natalie A

Abstract excerpt

Alzheimer's disease (AD) is a complex genetic disease, and variants identified through genome-wide association studies (GWAS) explain only part of its heritability. Epistasis has been proposed as a major contributor to this 'missing heritability', however, many current methods are limited to only modelling additive effects. We use VariantSpark, a machine learning approach to GWAS, and BitEpi, a tool for epistasis...

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Share to Adaptor Proteins, Signal Transducing
Share to Alzheimer Disease

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Apolipoproteins E

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Share to Genetic Predisposition to Disease

Share to Genome-Wide Association Study

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Share to Polymorphism, Single Nucleotide

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Identifiers

PMID: 37848535
DOI: 10.1038/s41598-023-44378-y
PMCID: PMC10582044

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