Plot any missense variants in fine-mapped data.
plot_missense(
merged_DT,
snp_filter = "Support>0",
label_yaxis = FALSE,
x_label = "UCS missense\nmutations",
show.legend = TRUE,
show_numbers = FALSE,
show_plot = TRUE
)Merged fine-mapping results data from finemap_loci.
Filter to use apply to SNPs before plotting.
Whether to label the y-axis.
x-axis title.
logical. Should this layer be included in the legends?
NA, the default, includes if any aesthetics are mapped.
FALSE never includes, and TRUE always includes.
It can also be a named logical vector to finely select the aesthetics to
display.
Whether to plot the numeric values or not.
Show plot.
Other annotate:
annotate_missense(),
biomart_snp_info(),
biomart_snps_to_geneInfo(),
haplor_epigenetics_enrichment(),
haplor_epigenetics_summary(),
haplor_haploreg(),
haplor_regulomedb(),
snps_by_mutation_type()
if (FALSE) {
merged_DT <- echodata::get_Nalls2019_merged()
gg_missense <- plot_missense(
merged_DT = merged_DT,
snp_filter = "Support>0"
)
gg_missense <- plot_missense(
merged_DT = merged_DT,
snp_filter = "Consensus_SNP==TRUE"
)
}