plot_sint function

QTLs with respective support interval plots

Creates a plot where colored bars represent the support intervals for QTL peaks (black dots).

plot_sint(data, model, pheno.col = NULL, main = NULL, drop = FALSE)

Arguments

• data: an object of class qtlpoly.data.
• model: an object of class qtlpoly.profile or qtlpoly.remim.
• pheno.col: a numeric vector with the phenotype column numbers to be plotted; if NULL, all phenotypes from 'data' will be included.
• main: a character string with the main title; if NULL, no title will be shown.
• drop: if TRUE, phenotypes with no QTL will be dropped; if FALSE (default), all phenotypes will be shown.

Returns

A ggplot2 with QTL bars for each linkage group.

Examples

# Estimate conditional probabilities using mappoly package
  library(mappoly)
  library(qtlpoly)
  genoprob4x = lapply(maps4x[c(5)], calc_genoprob)
  data = read_data(ploidy = 4, geno.prob = genoprob4x, pheno = pheno4x, step = 1)

  # Search for QTL
  remim.mod = remim(data = data, pheno.col = 1, w.size = 15, sig.fwd = 0.0011493379,
sig.bwd = 0.0002284465, d.sint = 1.5, n.clusters = 1)

  # Plot support intervals
  plot_sint(data = data, model = remim.mod)

References

Pereira GS, Gemenet DC, Mollinari M, Olukolu BA, Wood JC, Mosquera V, Gruneberg WJ, Khan A, Buell CR, Yencho GC, Zeng ZB (2020) Multiple QTL mapping in autopolyploids: a random-effect model approach with application in a hexaploid sweetpotato full-sib population, Genetics 215 (3): 579-595. tools:::Rd_expr_doi("10.1534/genetics.120.303080") .

See Also

read_data, remim, profile_qtl

Author(s)

Guilherme da Silva Pereira, gdasilv@ncsu.edu