RvTests

RvTests performs rare variant association analyses using multiple statistical tests for unrelated and related individuals across autosomal and X-linked variants.


Key Features:

  • Comprehensive Rare Variant Association Tests: Implements gene-level and variant-level association statistics for rare variants in both unrelated and family-based designs, supporting autosomal and X-linked analyses.
  • Integrated Annotation and Data Harmonization: Combines annotations, functional prediction scores, allele frequencies, genotypes, and phenotypes to define analysis units and prioritize candidate causal variants, with built-in data quality control.

Scientific Applications:

  • Gene-Level Rare Variant Analysis in Complex Diseases: Jointly tests multiple rare variants within gene regions to investigate genetic architecture and identify disease-associated variants in large sequencing cohorts.

Methodology:

RvTests applies diverse rare variant association statistics, integrates functional and frequency annotations with genotype–phenotype data, performs quality control and sample filtering, and supports autosomal and X-linked analyses in both population-based and related-sample study designs.

Topics

Details

Tool Type:
library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
C++
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

Zhan X, Hu Y, Li B, Abecasis GR, Liu DJ. RVTESTS: an efficient and comprehensive tool for rare variant association analysis using sequence data. Bioinformatics. 2016;32(9):1423-1426. doi:10.1093/bioinformatics/btw079. PMID:27153000. PMCID:PMC4848408.

Documentation

Links