BioGPT-ClinVar: Parameter-Efficient Fine-Tuning of a Biomedical LLM for Genomic Variant Interpretation
This study presents BioGPT-ClinVar, a parameter-efficient fine-tuning framework using Low-Rank Adaptation (LoRA) to adapt the 150-million-parameter BioGPT model for genomic variant interpretation, demonstrating effective convergence on a curated ClinVar dataset while providing an open-source, reproducible pipeline for future clinical and surveillance applications.