RVPedigree

RVPedigree tests associations between rare genetic variants and non-normally distributed quantitative traits while accounting for relatedness.

Key Features:

• Rare Variant Association with Relatedness Adjustment: Performs association testing for rare variants using kinship matrices to correct for family structure, population structure, and cryptic relatedness.
• Non-Normal Trait Handling and Significance Estimation: Supports analysis of non-normally distributed quantitative traits and provides multiple statistical significance estimation methods with triaging strategies and parallel computation for genome-wide studies.

Scientific Applications:

• Family-Based Rare Variant Analysis: Identifies genetic contributions of rare variants to complex traits in pedigree and population-based studies.

Methodology:

RVPedigree integrates kinship matrix calculation with statistical models robust to non-normal trait distributions, applying optimized significance testing and parallelization for large-scale rare variant association analyses.