Compute XP-EHH (standardized ratio of iES of two populations).
ies2xpehh(
scan_pop1,
scan_pop2,
popname1 = NA,
popname2 = NA,
min_nhaplo = NA,
standardize = TRUE,
include_freq = FALSE,
p.side = NA,
p.adjust.method = "none",
verbose = TRUE
)
a data frame with markers in rows and columns with chromosome name, position of the
marker, frequency of the ancestral allele and iES as obtained by scan_hh
on the first population.
a data frame with markers in rows and columns with chromosome name, position of the
marker, frequency of the ancestral allele and iES as obtained by scan_hh
on the second population.
short ID/name of the first population; to be added to an output column name.
short ID/name of the second population; to be added to an output column name.
discard positions where in at least one of the populations fewer than min_nhaplo
haplotypes
have been evaluated (default NA
).
logical. If TRUE
(default), then standardize XP-EHH, else report unstandardized XP-EHH.
logical. If TRUE
include columns with allele frequencies into result.
side to which refers the p-value. Default NA
, meaning two-sided. Can be set
to "left"
or "right"
.
method passed to function p.adjust
to correct the p-value for
multiple testing. Default "none"
.
logical. If TRUE
(default), report number of markers of the two source data frames and result data frame.
The returned value is a data frame with markers in rows and columns for chromosome name, marker position, XP-EHH and, if standardized, p-value in a negative log10 scale. Optionally, allele frequencies are included.
Log ratio of iES (population 1 over population 2) computed as described in Sabeti et al. (2007). Note that the two data frames are merged on the basis of chromosome and position. Marker names are kept, if they are identical and unique in both data frames.
Since the standardized XP-EHH values follow, if markers evolve predominantly neutrally, approximately
a standard Gaussian distribution, it is practical to assign to the values a p-value relative
to the null-hypothesis of neutral evolution. The parameter p.side
determines
if the p-value is assigned to both sides of the distribution or to one side of interest.
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.
# NOT RUN {
library(rehh.data)
data(wgscan.cgu) ; data(wgscan.eut)
## results from a genome scan (44,057 SNPs)
##see ?wgscan.eut and ?wgscan.cgu for details
wgscan.xpehh <- ies2xpehh(wgscan.cgu, wgscan.eut, "CGU", "EUT")
# }
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