SNP genotypes on HapMap founders for SNPs spanning the GIMAP5 gene.
Usage
data(GIMAP5)
Format
GIMAP5 is a list with three elements: snp.data, snp.support and
subject.support. snp.data is a snp.matrix
object containing the SNP genotypes. Rows correspond to
subjects and columns correspond to SNPs.
snp.support is a data frame with the following columns:
[,1]
dbSNPalleles
character
alleles at each SNP
[,2]
Assignment
character
same as dbSNPalleles
[,3]
Chromosome
character
chromosome (chr7 for all)
[,4]
Position
numeric
physical position
[,5]
Strand
character
strand (all "+")
subject.support is a one-column data frame with:
[,1]
pop
character
HapMap population of each subject
Details
SNP genotypes from HapMap release 27
for SNPs in a 10KB region spanning
the GIMAP5 gene. Data are on founders from each of the 11 HapMap
phase III populations:
ASW
African ancestry in Southwest USA
CEU
Utah residents with Northern and Western European ancestry from the CEPH collection
CHB
Han Chinese in Beijing, China
CHD
Chinese in Metropolitan Denver, Colorado
GIH
Gujarati Indians in Houston, Texas
JPT
Japanese in Tokyo, Japan
LWK
Luhya in Webuye, Kenya
MEX
Mexican ancestry in Los Angeles, California
MKK
Maasai in Kinyawa, Kenya
TSI
Toscani in Italia
YRI
Yoruba in Ibadan, Nigeria
Only those SNPs with minor allele frequency greater
than 5% in all populations were retained.
The base positions are from NCBI build 36
(UCSC genome hg18).
The International HapMap Consortium. A haplotype map of
the human genome. Nature 437, 1299-1320. 2005.
See Also
GIMAP5.CEU
Examples
data(GIMAP5)
#Now do a lattice plot with LDheatmaps in the panels
library(lattice)
pop<-GIMAP5$subject.support$pop
n<-nrow(GIMAP5$snp.data)
xyplot(1:n ~ 1:n | pop, type="n", scales=list(draw=FALSE), xlab="", ylab="",
panel=function(x, y, subscripts,...) {
LDheatmap(GIMAP5$snp.data[subscripts,],GIMAP5$snp.support$Position,
newpage=FALSE)})
rm(pop,n)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(LDheatmap)
Loading required package: grid
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/LDheatmap/GIMAP5.Rd_%03d_medium.png", width=480, height=480)
> ### Name: GIMAP5
> ### Title: Example data set for LDheatmap
> ### Aliases: GIMAP5
> ### Keywords: datasets
>
> ### ** Examples
>
> data(GIMAP5)
> #Now do a lattice plot with LDheatmaps in the panels
> library(lattice)
> pop<-GIMAP5$subject.support$pop
> n<-nrow(GIMAP5$snp.data)
> xyplot(1:n ~ 1:n | pop, type="n", scales=list(draw=FALSE), xlab="", ylab="",
+ panel=function(x, y, subscripts,...) {
+ LDheatmap(GIMAP5$snp.data[subscripts,],GIMAP5$snp.support$Position,
+ newpage=FALSE)})
> rm(pop,n)
>
>
>
>
>
> dev.off()
null device
1
>