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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.
A curated list (with links) of useful tools for genome-wide association analysis.
A statistical approach for meta-analyzing adjusted and unadjusted estimates from epidemiological cohorts/studies.
mvtests: a suite of functions for testing genetic associations of multiple traits (a.k.a. cross-phenotype associations)
Codes for COVID-19 data analysis
USAT uses a data-adaptive weighted score-based test statistic for testing association of multiple continuous phenotypes with a single genetic marker.
Joint meta-analysis of 2-df gene and gene-environment tests in GWAS.
POM-PS tests for genetic associations of secondary traits from case-control GWAS.
Modified transmission disequilibrium test (TDT) for GWAS using case-parent/control-parent trios.
