Potpourri

Potpourri prioritizes epistatic single nucleotide polymorphism (SNP) pairs in genome-wide association studies (GWAS) to improve detection of epistatic interactions and enhance phenotype prediction.

Key Features:

• Submodular set function optimization: Uses a submodular set function optimization strategy to select SNPs that are individually correlated with the phenotype and diverse in genomic locations to promote genetic complementation.
• Epistatic pair prioritization: Focuses on diverse and complementary genomic regions to narrow the number of SNP pair tests required for epistasis detection.
• Co-coverage ranking: Ranks candidate SNP pairs by co-coverage of case cohorts to refine prioritization of putative interactions.
• Precision improvement: Improves precision of detected epistatic pairs from 0.003 to 0.652 across three GWAS datasets and reaches up to 0.8 when prioritizing SNPs from regulatory or coding regions.
• Computational efficiency: Reduces the number of tests by 25-fold and decreases runtime by four times while maintaining the statistical significance of selected SNP pairs.

Scientific Applications:

• Epistasis discovery in GWAS: Prioritizes SNP pairs for epistatic interaction testing to help explain missing heritability in complex traits.
• Phenotype prediction: Enhances phenotype prediction through selection of genetically complementary SNPs.
• Regulatory and coding region analysis: Targets interactions involving regulatory or coding region SNPs to increase detection precision.
• Scalable epistasis screening: Reduces computational burden for large-scale genome-wide epistasis scans.

Methodology:

Employs submodular set function optimization to select phenotype-correlated and genomically diverse SNPs, ranks SNP pairs by co-coverage of case cohorts, and allows prioritization of SNPs from regulatory or coding regions.