R/STAAR [Manual] [Tutorial]
An R package for performing variant-Set Test for Association using Annotation infoRmation (STAAR) procedure in whole-genome sequencing studies.
STAAR is a general framework that incorporates both qualitative functional categories and quantitative complementary functional annotations using an omnibus multi-dimensional weighting scheme. STAAR accounts for population structure and relatedness, and is scalable for analyzing large WGS studies of continuous and dichotomous traits.
Version 0.9.6.2 (January 13, 2023)
An R package for performing Meta-analysis of variant-Set Test for Association using Annotation infoRmation (MetaSTAAR) procedure in whole-genome sequencing (WGS) studies
MetaSTAAR is a powerful and resource-efficient rare variant (RV) meta-analysis framework scalable to large WGS studies. MetaSTAAR accounts for relatedness and population structure for both quantitative and dichotomous traits and boosts the power of RV tests by incorporating multiple variant functional annotations.
Version 0.9.6.1 (January 13, 2023)
R/STAARpipeline and R/STAARpipelineSummary [Manual 1, 2] [Tutorial]
R packages for performing association analysis of whole-genome/whole-exome sequencing (WGS/WES) studies using STAAR pipeline.
STAARpipeline is a resource-efficient and powerful WGS/WES association analysis pipeline. STAARpipeline provides a streamlined rare variant association-detection framework for sequencing data, including gene-centric analysis and non-gene-centric analysis using a variety of coding and noncoding functional categories (masks), conditional analysis to identify variant set signals independent of nearby common variants, and visualization of analysis results.
Version 0.9.6 (January 1, 2023)
Python/MACIE [Whole-Genome MACIE Scores Part 1, 2, 3, 4]
MACIE (Multi-dimensional Annotation Class Integrative Estimation) is an unsupervised multivariate mixed model framework to assess multi-dimensional functional impacts for both coding and non-coding variants in the human genome. MACIE integrates a variety of functional annotations, including protein function scores, evolutionary conservation scores, and epigenetic annotations from ENCODE and Roadmap Epigenomics, and estimates the joint posterior probabilities of each genetic variant being functional.
R/SCANG [Manual] [Tutorial]
An R package for performing SCAN the Genome (SCANG) procedure in whole genome sequencing studies.
SCANG is a flexible and computationally efficient scan statistic procedure that uses the p-value of a variant set-based test as a scan statistic of each moving window, to detect rare variant association regions for both continuous and dichotomous traits.
Joint work with Dr. Zilin Li