View source: R/manhattanPlot.R
manhattanPlot | R Documentation |
Generates a manhattan plot of the results of a genome wide association test.
manhattanPlot(p, chromosome,
ylim = NULL, trunc.lines = TRUE,
signif = 5e-8, thinThreshold=NULL, pointsPerBin=10000, col=NULL, ...)
p |
A vector of p-values. |
chromosome |
A vector containing the chromosome for each SNP. |
ylim |
The limits of the y axis. If NULL, the y axis is |
trunc.lines |
Logical value indicating whether to show truncation lines. |
signif |
Genome-wide significance level for plotting horizontal
line. If |
thinThreshold |
if not |
pointsPerBin |
number of points to plot in each bin if |
col |
vector containing colors of points; defaults to coloring by chromosome using the colorbrewer Dark2 palette with 8 colors |
... |
Other parameters to be passed directly to |
Plots -log10(p) versus chromosome. Point size is scaled so that smaller p values have larger points.
p
must have the same length as chromosome
and is
assumed to be in order of position on each chromosome. Values within
each chromosome are evenly spaced along the X axis.
Plot limits are determined as follows: if ylim
is provided, any
points with -log10(p) > ylim[2]
are plotted as triangles at the
maximum y value of the plot. A line will be drawn to indicate
trunctation (if trunc.lines == TRUE
, the default). If
ylim == NULL
, the maximum y value is defined as
log10(length(p)) + 4)
.
If requested with thinThreshold
, points with -log10(pval) < thinThreshold
are thinned before plotting. All points with -log10(pval) >= thinThreshold
are displayed. P-values with -log10(pval) < thinThreshold
are sampled such that pointsPerBin
points are randomly selected from 10 bins with uniform spacing in -log10(pval)
space.
Cathy Laurie, Adrienne Stilp
snpCorrelationPlot
n <- 1000
pvals <- sample(-log10((1:n)/n), n, replace=TRUE)
chromosome <- c(rep(1,400), rep(2,350), rep("X",200), rep("Y",50))
manhattanPlot(pvals, chromosome, signif=1e-7)
manhattanPlot(pvals, chromosome, thinThreshold=2)
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