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

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

Simulation of Pleiotropic, Linked and Epistatic Phenotypes

MR-link and genome integration. genome_integration is a repository for the analysis of genomic data. Specifically, the repository implements the causal inference method MR-link, as well as other Mendelian randomization methods.

Statistical genetic tool to infer common variants pleiotropy, using GWAS summary statistics

R code for reproduce real data analysis in MRAPSS paper.

Summary statistics-based association test for identifying the pleiotropic effects with set of genetic variants

USAT uses a data-adaptive weighted score-based test statistic for testing association of multiple continuous phenotypes with a single genetic marker.

Codes in paper "A Multivariate Robust Test for Genetic Pleiotropy".

Scripts and pipeline used in the LN phenocluster manuscript

Identifying pleiotropic genes via the composite test amidst the complexity of polygenic traits

QTL mapping workflow for BC1 population of Jaltomata.