PANOGA

PANOGA identifies biological pathways and genes affected by SNPs in GWAS data to elucidate molecular mechanisms underlying multifactorial diseases.

Key Features:

• Pathway Identification: Identifies biological pathways affected by SNPs to provide insights into molecular mechanisms underlying multifactorial diseases.
• Gene Targeting: Maps GWAS-identified SNPs to their directly targeted genes within these pathways to facilitate interpretation of genetic risk factors.
• Comprehensive Analysis: Detects additional disease-related genes within affected pathways beyond SNP-targeted genes to capture broader genetic influences.
• Input formats: Accepts tab-delimited or Excel files containing SNP rsIDs and corresponding genotypic p-values as input from GWAS datasets.

Scientific Applications:

• Genetic risk prediction: Supports development of genetic risk prediction tests by linking SNPs to perturbed pathways and genes.
• Diagnostic development: Facilitates creation of diagnostic tools by identifying pathway-level perturbations associated with disease.
• Therapeutic applications: Informs therapeutic development by highlighting pathway and gene targets affected by disease-associated SNPs.
• Disease mechanism elucidation: Clarifies complex interactions contributing to disease etiology by identifying pathways perturbed by SNPs, aiding targeted interventions and personalized medicine approaches.

Methodology:

Analyzes GWAS data to identify disease-associated SNPs, maps these SNPs onto biological pathways to determine affected genes, and evaluates both SNP-targeted genes and other relevant genes within the same pathways.