This package takes genetic associations or fine-mapped genetic credible sets and systemically integrates them with functional annotations to obtain tissue of action (TOA) scores that can guide mechanistic investigation of genetic signals from genome-wide association studies.
The package was developed in R (version 3.6.0) and requires the following R packages:
install_github
function used for package installationThe package can be directly installed from GitHub using this R command:
devtools::install_github("jmtorres138/TACTICAL")
TACTICAL provides a simple way to systematically integrate genetic information from trait-associated loci with functional genomic annotations and gene expression to obtain tissue-of-action (TOA) scores. These scores can be used to:
TACTICAL is simple to run and flexible; you need only provide the input data you are interested in evaluating. The data accepted include:
Genetic information
: Credible sets from bayesian fine-mapping or index variants from GWAS. If using index SNPs, we recommended using conditionally independent SNPs or LD-pruned SNPs. Genomic annotations
: Any type of interval data that can be formatted in a BED file. This can include chromatin segmentation states, ChIP-seq peaks, chromatin accessible regions (i.e. DHS or ATAC-seq peaks), lowly/highly methylated regions, coding sequence, untranslated regions, etc.Expression specificity scores
: When comparing across a set of tissues or cell types, you can provide expression specificity scores (described below) that inform the extent of tissue-specific gene expression in each evaluated tissue. Although there are many possible data combinations the user may wish to explore, we offer a few suggestions:
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