qtl2pattern (version 1.2.1)

ggplot_scan1pattern: Plot scan pattern usign ggplot2

Description

Plot scan pattern usign ggplot2

Genome scan by pattern set

Usage

ggplot_scan1pattern(
  object,
  map,
  plot_type = c("lod", "coef", "coef_and_lod"),
  patterns = object$patterns$founders,
  columns = 1:3,
  min_lod = 3,
  lodcolumn = seq_along(patterns),
  facet = "pheno",
  ...
)
# S3 method for scan1pattern
autoplot(object, ...)
scan1pattern(
  probs1,
  phe,
  K = NULL,
  covar = NULL,
  map,
  patterns,
  condense_patterns = TRUE,
  blups = FALSE,
  do_scans = TRUE
)
# S3 method for scan1pattern
summary(object, map, ...)

Value

object of class ggplot

List containing:

• patterns Data frame of summary for top patterns (column founders has pattern)

• dip_set Diplotype sets for contrasts

• group Group for each founder pattern

• scan Object of class scan1.

• coef Object of class listof_scan1coef. See package 'qtl2ggplot'.

Arguments

object

object of class scan1pattern

map

genome map

plot_type

type of plot from c("lod","coef")

patterns

data frame of pattern information

columns

columns used for coef plot

min_lod

minimum LOD peak for contrast to be retained

lodcolumn

columns used for scan1 plot (default all patterns)

facet

Plot facets if multiple phenotypes and patterns provided (default = "pheno").

...

additional parameters passed on to other methods

probs1

object of class calc_genoprob

phe

data frame with one phenotype

K

kinship matrix

covar

covariate matrix

condense_patterns

remove snp_action from contrasts if TRUE

blups

Create BLUPs if TRUE

do_scans

Do scans if TRUE.

Author

Brian S Yandell,

Examples

dirpath <- "https://raw.githubusercontent.com/rqtl/qtl2data/master/DOex"

# Read DOex example cross from 'qtl2data'
DOex <- subset(qtl2::read_cross2(file.path(dirpath, "DOex.zip")), chr = "2")

# \donttest{
# Download genotype probabilities
tmpfile <- tempfile()
download.file(file.path(dirpath, "DOex_genoprobs_2.rds"), tmpfile, quiet=TRUE)
pr <- readRDS(tmpfile)
unlink(tmpfile)

# Download SNP info for DOex from web and read as RDS.
tmpfile <- tempfile()
download.file(file.path(dirpath, "c2_snpinfo.rds"), tmpfile, quiet=TRUE)
snpinfo <- readRDS(tmpfile)
unlink(tmpfile)
snpinfo <- dplyr::rename(snpinfo, pos = pos_Mbp)

# Convert to SNP probabilities
snpinfo <- qtl2::index_snps(DOex$pmap, snpinfo)
snppr <- qtl2::genoprob_to_snpprob(pr, snpinfo)

# Scan SNPs
scan_snppr <- qtl2::scan1(snppr, DOex$pheno)
top_snps_tbl <- top_snps_pattern(scan_snppr, snpinfo)

# Summarize to find top patterns
patterns <- dplyr::arrange(summary(top_snps_tbl), dplyr::desc(max_lod))

# Scan using patterns.
scan_pat <- scan1pattern(pr, DOex$pheno, map = DOex$pmap, patterns = patterns)

# Summary of scan1pattern.
summary(scan_pat, DOex$pmap)
# }