rehh (version 2.0.1)

calc_ehh: EHH and iHH computations at a given core SNP

Description

Compute Extended Haplotype Homozygosity (EHH) and integrated EHH (iHH) for a given focal SNPs.

Usage

calc_ehh(haplohh, mrk, limhaplo = 2, limehh = 0.05, maxgap=NA, plotehh = TRUE,  lty = 1, lwd = 1.5, col = c("blue", "red"), xlab = "Position",  ylab = expression(Extended ~ haplotype ~ homozygosity ~ (italic(EHH))),  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 EHH 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

limehh

Limit below which EHH stops to be evaluated

maxgap

Maximum allowed gap in bp between two SNPs below which EHH stops to be evaluated (default=NA, i.e., no limitation)

plotehh

If TRUE, EHH estimates for both the ancestral and derived allele are plotted for each position

lty

Line type for the ancestral and derived allele iHH (respectively) curves

lwd

Line width for the ancestral and derived allele iHH (respectively) curves

col

Color for the ancestral and derived allele iHH (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

EHH are computed at each position upstream and downstream the focal SNP for both the derived and ancestral allele. This allows in turn the computation of the integrated EHH relative to map distances (iHH).

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. (2002). Detecting recent positive selection in the human genome from haplotype structure. Nature, 419, 832--837.

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.

Voight, B.F. and Kudaravalli, S. and Wen, X. and Pritchard, J.K. (2006). A map of recent positive selection in the human genome. Plos Biology, 4, e72.

See Also

calc_ehhs,data2haplohh,scan_hh

Examples

#example haplohh object (280 haplotypes, 1424 SNPs)
#see ?haplohh_cgu_bta12 for details
data(haplohh_cgu_bta12) 

#computing EHH statisitics for the focal SNP at position 456
# which displays a strong signal of selection
res.ehh<-calc_ehh(haplohh_cgu_bta12,mrk=456)