rvsel

rvsel identifies rare variants associated with phenotypic traits by applying a power set-based selection procedure to evaluate all possible subsets of variants within a gene or genomic region.

Key Features:

• Power Set-Based Rare Variant Selection: Exhaustively tests all subset combinations of rare variants within a gene or region to detect specific variants driving associations.
• Mixed Effect Modeling: Detects coexisting risk and protective rare variants within the same locus, improving resolution in complex trait analysis.

Scientific Applications:

• Rare Variant Association Studies: Identifies susceptibility variants in complex diseases, including analyses of ANGPTL gene family sequence data from the Dallas Heart Study.

Methodology:

rvsel implements an exhaustive power set-based statistical selection framework that evaluates all combinations of rare variants within a gene or region to identify subsets significantly associated with phenotypic traits, enabling detection of both risk and protective effects.