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R. Pendergrass

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Open access Sep 2026

Markedly divergent performance of variant annotation methods for gene-level association testing

Machine learning-based annotation methods are increasingly used to assess the pathogenicity of genetic variants, but their performance at prioritizing variants for gene-level association testing remains poorly characterized. Here, to better understand and optimize for this use case, we assess variant annotations from...

Matthew Aguirre, Flaviyan Jerome Irudayanathan, M. Crow et al. · 0 citations

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