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gg_GWAS_Summary()

Source: vignettes/gg_GWAS_Summary.Rmd
gg_GWAS_Summary.Rmd

The function gg_GWAS_Summary() creates summary plots showing significant association from your GWAS analyses.

Specifying a folder is all that is needed to create summary GWAS plots.

# Plot
mp <- gg_GWAS_Summary(
  # Specify a folder with GWAS results
  folder = "GWAS_Results/" )
# Save
ggsave("figures/gg_GWAS_Summary_01.png",
       mp, width = 12, height = 4 )

# Plot
mp <- gg_GWAS_Summary(
  # Specify a folder with GWAS results
  folder = "GWAS_Results/",
  # Specify a title
  title = "Summary of Significant GWAS Results",
  # Specify GWAS models to plot
  models = c("MLM","MLMM","FarmCPU","BLINK") )
# Save
ggsave("figures/gg_GWAS_Summary_02.png", 
       mp, width = 12, height = 4 )

Make it an interactive plot with the following code

gg_plotly(mp, filename = "figures/gg_GWAS_Summary_02.html")

https://derekmichaelwright.github.io/gwaspr/vignettes/figures/gg_GWAS_Summary_02.html