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Article

The sequence kernel association test for the proportional odds model.

Bioinformatics (Oxford, England) - 2 Jun 2025

Yan Jingxin, Zhang Xiaoyu, Wang Shuying, Wang Jinjuan, Li Qizhai

Abstract excerpt

MOTIVATION: The Sequence Kernel Association Test (SKAT) and its extensions are the most popular methods for studying the association between phenotypes and a set of single nucleotide polymorphisms. Their practical application is very wide, but most of these methods are designed for continuous and binary phenotypes. Ordered categorical phenotypes are also very common in practice, so there is an urgent need to...

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Topics

Polymorphism, Single Nucleotide
Humans
Arthritis, Rheumatoid
Phenotype
Models, Genetic
Algorithms
Computer Simulation

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Software

Genetic Association Studies

Computational Biology

Source

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Identifiers

PMID: 40574466
DOI: 10.1093/bioinformatics/btaf304
PMCID: PMC12202753

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