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BayesKAT: Bayesian Optimal Kernel-based Test for genetic association studies reveals joint genetic effects in complex diseases

2023-10-20

Abstract excerpt

<h4>ABSTRACT</h4> GWAS methods have identified individual SNPs significantly associated with specific phenotypes. Nonetheless, many complex diseases are polygenic and are controlled by multiple genetic variants that are usually non-linearly dependent. These genetic variants are marginally less effective and remain undetected in GWAS analysis. Kernel-based tests (KBT), which evaluate the joint effect of a group of...

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Literature Corpus work
9eaca269-0589-5432-9490-8103e9879bfd
DOI
10.1101/2023.10.18.562824
Open publication

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BayesKAT: Bayesian Optimal Kernel-based Test for genetic association studies reveals joint genetic effects in complex diseasesDOI 10.1101/2023.10.18.562824
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