Scalable genetics toolkit

Multi-subject Single Cell Deconvolution

Python command line tool for Multi-Trait Analysis of GWAS (MTAG)

PolyFun (POLYgenic FUNctionally-informed fine-mapping)

An R package for performing STAAR procedure in whole-genome sequencing studies

Find causal cell-types underlying complex trait genetics

An R package for performing association analysis of whole-genome/whole-exome sequencing (WGS/WES) studies using STAARpipeline

Resources (software, data, research article) in the field of statistical genetics

R package to perform Bayesian Genome-Wide Association Studies

A statistical test of pleiotropic effect of a genetic variant on two traits using GWAS summary statistics

The tutorial for performing single-/multi-trait association analysis of whole-genome/whole-exome sequencing (WGS/WES) studies using FAVORannotator, STAARpipeline and STAARpipelineSummary

Genotype Representation Graph Library

Estimate genetic correlation using predicted expression

An R package for performing MetaSTAAR procedure in whole-genome sequencing studies

metaUSAT is a data-adaptive statistical approach for testing genetic associations of multiple traits from single/multiple studies using univariate GWAS summary statistics.

GEAR [GEnetic Analysis Repository], contact chenguobo@gmail.com;

Heritability, genetic correlation and functional enrichment estimation for case-control studies

An R package for summarizing and visualizing association analysis results of whole-genome/whole-exome sequencing (WGS/WES) studies generated by STAARpipeline

Multi Kernel Linear Mixed Models for Complex Phenotype Prediction

Efficient algebraic functions for statistical analysis of genomic data