Phen-Gen

Phen-Gen integrates patient disease symptoms, sequencing data, and prior domain knowledge to prioritize causal genes and variants underlying rare disorders.

Key Features:

• Phenotype-genotype integration: Combines patients' disease symptoms with sequencing data to improve gene prioritization.
• Use of prior knowledge: Augments phenotypic and genotypic evidence with existing domain knowledge to inform rankings.
• Variant prioritization: Ranks candidate causal variants and genes, reporting the causal variant as top-ranked in 88% of simulations for coding variants.
• Performance vs genotype-only: Demonstrates a 52% increase in accuracy over genotype-only approaches in simulations.
• Robustness to unknown etiology: Assigns the top rank to the causal variant in 71% of simulations when disease etiology is unknown.
• Comparative advantage: Outperforms other existing prediction methods by margins ranging from 13% to 58% in comparative analyses.
• Evaluation framework: Performance was assessed using simulation studies of causal variants.

Scientific Applications:

• Rare disease gene discovery: Facilitates identification of causative genes in rare genetic disorders by integrating phenotype and genotype data.
• Diagnostic support: Aids interpretation of sequencing results to support accurate diagnoses in complex phenotypic presentations.
• Mechanistic research: Supports studies of disease mechanisms by prioritizing candidate genes and variants for further investigation.
• Therapeutic guidance: Informs potential therapeutic strategies by identifying likely causal genes and variants.

Methodology:

Integrates patients' disease symptoms and sequencing data with prior domain knowledge to rank candidate causal variants and genes, and evaluates performance using simulation studies.