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ABSTRACT: Background
In the diagnostic process of monogenic genetic disorders, identifying pathogenic variants is a crucial step. Thanks to the widespread adoption of Next-Generation Sequencing (NGS) technology, diagnostic efficiency has been significantly enhanced. However, with the increasing demand for diagnostic accuracy in clinical practice for monogenic genetic diseases, accurately and swiftly pinpointing pathogenic variants among numerous candidate variants remains a significant challenge. The complexity of data analysis and interpretation continues to limit both the efficiency and accuracy of diagnosis.Methods
In this study, we have developed an innovative phenotype-driven algorithm, geneEX. This algorithm integrates large language model technology to accurately extract pheno
SUBMITTER: Zhang J
PROVIDER: S-EPMC12451470 | biostudies-literature | 2025 Sep
REPOSITORIES: biostudies-literature