There are 2 repositories under twas topic.
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.
Epigenomewide Association Studies (EWAS) with FUnctional Summary-based ImputatiON (FUSION)
Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits
R package for "Multi-tissue Transcriptome-Wide Association Studies (MTWAS)"
Analysis of transcriptome imputation using paired genotype-expression data from SAGE and GEUVADIS
LocusXcanR: an R package that creates an R Shiny application that aids TWAS interpretation, can be extended to other ‘omics data, and highlights R Shiny’s effectiveness at presenting results in an approachable, interactive, and visual format.
Optimizing transcriptome prediction models for use in multi-ethnic TWAS using multivariate adaptive shrinkage.
Bioinformatic software to identify causal variants in GWAS and GWAS/eQTL studies.