Learn R Programming

rehh (version 2.0.1)

calc_ehhs: EHHS and iES computations at a given core SNP

Description

Compute site Extended Haplotype Homozygosity (EHHS) and integrated EHH (iES) for a given focal SNPs.

Usage

calc_ehhs(haplohh, mrk, limhaplo = 2, limehhs = 0.05, maxgap=NA, plotehhs = TRUE, lty = 1, lwd = 1.5, col = c("blue", "red"), xlab = "Position", ylab = expression(Site ~ specific ~ italic(EHH) ~ (italic(EHHS))), cex.lab = 1.25, main = NA, cex.main = 1.5)

Arguments

haplohh
An object of class haplohh (see data2haplohh).
mrk
Integer representing the number of the focal marker
limhaplo
Minimal number of haplotypes to continue computing EHHS away from the core SNP. Useless, if no missing data. However, when some data are missing, haplotypes with missing data are removed from the computation. Hence as we compute EHH further from the core SNP, less haplotypes are expected
limehhs
Limit below which EHHS stops to be evaluated
maxgap
Maximum allowed gap in bp between two SNPs below which EHHS stops to be evaluated (default=NA, i.e., no limitation)
plotehhs
If TRUE, EHHS estimates are plotted for each position
lty
Line type for the EHHS_Sabeti_et_al_2007 and EHHS_Tang_et_al_2007 (respectively) curves
lwd
Line width for the EHHS_Sabeti_et_al_2007 and EHHS_Tang_et_al_2007 (respectively) curves
col
Color for the EHHS_Sabeti_et_al_2007 and EHHS_Tang_et_al_2007 (respectively) curves
xlab
Legend for the x--axis
ylab
Legend for the y--axis
cex.lab
Size of the axis legend
main
Main legend of the EHHS plot
cex.main
Size of the main legend

Value

The returned value is a list containing the following components:

Details

EHHS are computed at each position upstream and downstream the focal SNP. This allows in turn the computation of the integrated EHHS relative to map distances (iES).

References

Gautier, M. and Naves, M. (2011). Footprints of selection in the ancestral admixture of a New World Creole cattle breed. Molecular Ecology, 20, 3128--3143.

Sabeti, P.C. et al. (2007). Genome-wide detection and characterization of positive selection in human populations. Nature, 449, 913--918.

Tang, K. and Thornton, K.R. and Stoneking, M. (2007). A New Approach for Using Genome Scans to Detect Recent Positive Selection in the Human Genome. Plos Biology, 7, e171.

See Also

calc_ehh,data2haplohh,scan_hh

Examples

Run this code
#example haplohh object (280 haplotypes, 1424 SNPs)
#see ?haplohh_cgu_bta12 for details
data(haplohh_cgu_bta12) 
#computing EHH statistics for the focal SNP at position 456
#which displays a strong signal of selection
res.ehhs<-calc_ehhs(haplohh_cgu_bta12,mrk=456)

Run the code above in your browser using DataLab