Estimate genetic correlation using predicted expression
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Updated
Mar 8, 2018 - R
Estimate genetic correlation using predicted expression
Replication of an mQTL analysis using the ``locus'' method on simulated data
A nonparametric statistics based method for hub and co-expression module identification in large gene co-expression network
USAT uses a data-adaptive weighted score-based test statistic for testing association of multiple continuous phenotypes with a single genetic marker.
POM-PS tests for genetic associations of secondary traits from case-control GWAS.
Analysis of transcriptome imputation using paired genotype-expression data from SAGE and GEUVADIS
metaUSAT is a data-adaptive statistical approach for testing genetic associations of multiple traits from single/multiple studies using univariate GWAS summary statistics.
A statistical test of pleiotropic effect of a genetic variant on two traits using GWAS summary statistics
mvtests: a suite of functions for testing genetic associations of multiple traits (a.k.a. cross-phenotype associations)
Joint meta-analysis of 2-df gene and gene-environment tests in GWAS.
Summary statistics-based association test for identifying the pleiotropic effects with set of genetic variants
Poster is available:
Tools for regression using pre-computed summary statistics
An app for summarizing association analysis results of whole-genome/whole-exome sequencing (WGS/WES) studies in UK Biobank RAP
An app for summarizing association analysis results of whole-genome/whole-exome sequencing (WGS/WES) studies in UK Biobank RAP
R package to perform Bayesian Genome-Wide Association Studies
An R package for performing MultiSTAAR procedure in whole-genome sequencing studies
Performance Inflation and Perturbation Sensitivity of PGSs
An R package for performing MetaSTAAR procedure in whole-genome sequencing studies
Multi-subject Single Cell Deconvolution
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