HmtVar

HmtVar annotates human mitochondrial DNA (mtDNA) variants with integrated functional and clinical information to support pathogenicity interpretation.

Key Features:

• Data Integration: Integrates variant and variability data from HmtDB and external resources including MITOMAP, the 1000 Genomes Project, MutPred, SNPs&GO, and other mtDNA resources.
• Pathogenicity Estimation: Provides pathogenicity estimations for mtDNA variants to support clinical diagnostics and research interpretation.
• Data and Text Mining Pipeline: Implements an R-based data and text mining pipeline that extracts PubMed-derived information on mtDNA functional studies and clinical assessments.

Scientific Applications:

• Pathogenicity interpretation: Supports interpretation of variant pathogenicity for research and clinical assessment of mitochondrial disorders.
• Mitochondrial genetics research: Enables exploration of human mitochondrial variability and correlations with pathological phenotypes.

Methodology:

HmtVar uses a two-step R-based workflow: a data mining step that identified 1,073 PubMed IDs linked to mitochondrial DNA research, and a text mining step that retrieved detailed information on 932 human mtDNA variants focusing on experimental validation and clinical features.