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"
)
}