Ingenuity Variant Analysis

Ingenuity Variant Analysis analyzes whole-exome sequencing (WES) and sequencing-derived variant data to identify and annotate genetic variants, prioritize causal mutations, and characterize pathway-level effects in human disease.

Key Features:

• Whole-Exome Sequencing Integration: Supports analysis of whole-exome sequencing (WES) data to pinpoint variants within exonic regions.
• Variant Identification and Annotation: Identifies genetic mutations and annotates them to distinguish benign polymorphisms from pathogenic variants.
• Pathway Analysis: Analyzes gene-gene interactions and pathway crosstalk to interpret molecular mechanisms underlying disease.
• Genetic Screening: Enables comprehensive screening across large datasets to detect recurrent and rare variants.
• Functional Analysis: Assesses potential impact of identified variants on protein function and disease pathology.
• Cross-Family Comparison: Compares variants across unrelated families to separate common pathogenic mutations from family-specific variants.

Scientific Applications:

• Complex inheritance studies: Facilitates investigation of disorders with complex inheritance patterns, including autosomal-dominant and autosomal-recessive diseases.
• Infantile Myofibromatosis (IM) research: Applied to WES data from multiple unrelated families to identify mutations associated with IM.
• Candidate gene identification: Used to identify PDGFRB mutations and to highlight NOTCH3 as a candidate gene in IM.
• Pathway interplay analysis: Supports characterization of interactions between pathways implicated in tumor growth and regression, such as PDGFRB and NOTCH3.

Methodology:

Analysis of whole-exome sequencing (WES) data with comprehensive genetic screening, variant annotation and functional analysis, and cross-family variant comparison.