Bioinformatic software to identify causal variants in GWAS and GWAS/eQTL studies.
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Updated
Dec 11, 2017 - C++
Bioinformatic software to identify causal variants in GWAS and GWAS/eQTL studies.
Tool for integrative gene-based association analysis using GWAS summary stats
Factored QTL analysis applied to GTEx and GWAS of 114 complex traits
Analysis of transcriptome imputation using paired genotype-expression data from SAGE and GEUVADIS
tool for continuously integrated meta-resource
Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits
Using real genotype data, simulate a complex trait as a function of latent expression, fit eQTL weights in independent data, and perform GWAS/TWAS on complex trait.
Optimizing transcriptome prediction models for use in multi-ethnic TWAS using multivariate adaptive shrinkage.
PhenoPLIER
R package for "Multi-tissue Transcriptome-Wide Association Studies (MTWAS)"
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