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April 24th, 2025
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Compass Bioinformatics
genomics
biorxiv

Evaluating a Standard Benchmark for Gene Prioritization: The InheriNext(R) Algorithm's Integration of Genomic and Phenotypic Information

Chang, J.-Y.Open in Google Scholar•Li, K.-T.Open in Google Scholar•Kubal, M.Open in Google Scholar•Tsai, Y.-S.Open in Google Scholar•Hamby, A. M.Open in Google Scholar•Thomson, N.Open in Google Scholar•Sheridan, J.Open in Google Scholar•Barfield, S.Open in Google Scholar•Rutz, R.Open in Google Scholar•Ong, F. S.Open in Google Scholaret al.

This study presents a comprehensive benchmark analysis of InheriNext(R), a domain-specific, AI-powered tool designed for phenotype-driven pathogenic variant prioritization. For this study, 7,244 whole exome test cases were generated using phenotype and genotype data from Phenopackets, along with pools of variants from healthy individuals to serve as genomic backgrounds. Performance was evaluated across diverse testing scenarios and compared against four established tools. The results show InheriNext(R) achieving a 98.6% sensitivity in identifying pathogenic variants and consistent performance across diverse tests for variant types, phenotype counts, and disease group, showing support for the robustness and adaptability of its methodology. Sharing these benchmarking results and samples is intended to drive progress by assisting clinicians and researchers in evaluating interpretation tools and identifying areas for improvement.

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