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CLUSTERING OF RARE VARIANTS FOR CAUSAL VARIANTS IDENTIFICATION AND EFFECT DIRECTION CLASSIFICATION

2024-02-23

Abstract excerpt

<h4>ABSTRACT</h4> Several gene-based tests, e.g., sequence kernel association test, have been developed for association testing of rare single nucleotide variants (SNVs) in genomic regions with disease traits. A common limitation of these aggregate methods is their inability to discriminate potentially causal variants from null variants within the tested regions. We propose a novel clustering method to class...

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Literature Corpus work: af2277e4-95fa-5855-9256-585a431ed39c
DOI: 10.1101/2024.02.22.24303151

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