A statistical test of pleiotropic effect of a genetic variant on two traits using GWAS summary statistics
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Updated
Mar 26, 2022 - R
A statistical test of pleiotropic effect of a genetic variant on two traits using GWAS summary statistics
Three bacterial GWAS methods all rolled into one easy-to-use R package
The multivariate MArginal ePIstasis Test
R package to perform data pre-processing for more informative bacterial GWAS
Tool for genome wide association studies with Bayesian inference and statistical learning
MendelianRandomization is an R package for assessing causal relationships using genetic variants as instrumental variables
mvtests: a suite of functions for testing genetic associations of multiple traits (a.k.a. cross-phenotype associations)
Flashfm: multi-trait fine-mapping that uses GWAS summary statistics from several traits. Updated and more flexible wrapper functions available at jennasimit.github.io/flashfmZero/
MGflashfm: joint fine-mapping of genetic association signals in several traits amongst multiple population groups.
Modified transmission disequilibrium test (TDT) for GWAS using case-parent/control-parent trios.
This is a fork from qqman package
Scripts of Final Master Project
Latent factor GWAS; Multi-trait fine-mapping for any number of uncorrelated traits (and limited number of correlated traits)
Clean and Process GWAS Results for the Drosophila Genetic Reference Panel
SCAVENGE is a method to optimize the inference of functional and genetic associations to specific cells at single-cell resolution.
Joint meta-analysis of 2-df gene and gene-environment tests in GWAS.
Perform GWAS on Phenotype Measurements Subject to Limit of Detection for Biobank-Scale Dataset
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