plotSegregation: Pedigree plot for segregation analysis

In segregatr: Segregation Analysis for Variant Interpretation

Pedigree plot for segregation analysis

Description

Plots a pedigree showing the segregation of a variant.

Usage

plotSegregation(
  x,
  affected = NULL,
  unknown = NULL,
  proband = NULL,
  carriers = NULL,
  homozygous = NULL,
  noncarriers = NULL,
  cex = 1,
  margins = 1,
  pos.geno = "bottom",
  pos.arrow = "bottomleft",
  ...
)

Arguments

x	A pedtools::ped() object.
affected	The affected pedigree members.
unknown	Pedigree members with unknown affection status.
proband	The ID label of the proband. This person must also be in both carriers and affected.
carriers	A character vector (or coercible to such), containing the ID labels of pedigree members known to carry one copy of the variant in question.
homozygous	A character vector (or coercible to such), containing the ID labels of pedigree members known to carry two copies of the variant in question.
noncarriers	A character vector (or coercible to such), containing the ID labels of pedigree members known not to carry the variant in question.
cex, margins	Arguments passed on to pedtools::plot.ped().
pos.geno	Position of genotype labels relative to pedigree symbols; either "bottom" (default), "topleft" or "topright".
pos.arrow	Position of the proband arrow; either "bottomleft", "bottomright", "topleft" or "topright".
...	Optional plot parameters passed on to pedtools::plot.ped().

Examples

x = nuclearPed(2)
plotSegregation(x, proband = 3, carriers = 3:4, noncarriers = 1,
                aff = 3:4, unknown = 1:2)

# Same with various options
plotSegregation(x, proband = 3, carriers = 3:4, noncarriers = 1,
                aff = 3:4, unknown = 1:2,
                pos.geno = "topright", pos.arrow = "topleft",
                labs = NULL, title = "Family 1", cex.main = 1.5)

# Recessive example
y = cousinPed(1, child = TRUE)
plotSegregation(y, affected = 9, unknown = 1:6, carrier = 7:8,
                homozygous = 9, noncarriers = c(4,6), proband = 9)

# Different symbol placements
plotSegregation(y, affected = 9, unknown = 1:6, carrier = 7:8,
                homozygous = 9, noncarriers = c(4,6), proband = 9,
                pos.geno = "topleft", pos.arrow = "bottomright")

# Incest case
y = nuclearPed() |> addChildren(father = 3, mother = 2, nch = 3)

plotSegregation(y, proband = 4, aff = 4:6, unknown = 2, carrier = 4:6, deceased = 1,
                pos.geno = "topleft", pos.arrow = "bottomright")

segregatr documentation built on July 9, 2023, 7:24 p.m.