comp.score | R Documentation |
score statistics for testing genetic linkage of quantitative trait
comp.score(
ibddata = "ibd_dist.out",
phenotype = "pheno.dat",
mean = 0,
var = 1,
h2 = 0.3
)
ibddata |
The output file from GENEHUNTER using command "dump ibd". The default file name is |
phenotype |
The file of pedigree structure and trait value. The default file name is "pheno.dat". Columns (no headings) are: family ID, person ID, father ID, mother ID, gender, trait value, where Family ID and person ID must be numbers, not characters. Use character "NA" for missing phenotypes. |
mean |
(population) mean of the trait, with a default value of 0. |
var |
(population) variance of the trait, with a default value of 1. |
h2 |
heritability of the trait, with a default value of 0.3. |
The function empirically estimate the variance of the score functions. The variance-covariance matrix consists of two parts: the additive part and the part for the individual-specific environmental effect. Other reasonable decompositions are possible.
This program has the following improvement over "score.r":
It works with selected nuclear families
Trait data on parents (one parent or two parents), if available, are utilized.
Besides a statistic assuming no locus-specific dominance effect, it also computes a statistic that allows for such effect. It computes two statistics instead of one.
Function "merge" is used to merge the IBD data for a pair with the
transformed trait data (i.e., w_kw_l
).
a matrix with each row containing the location and the statistics and their p-values.
Adapt from score2.r.
Yingwei Peng, Kai Wang
kruglyak96gap
\insertRefkruglyak98gap
\insertRefwang05gap
## Not run:
# An example based on GENEHUNTER version 2.1, with quantitative trait data in file
# "pheno.dat" generated from the standard normal distribution. The following
# exmaple shows that it is possible to automatically call GENEHUNTER using R
# function "system".
cwd <- getwd()
cs.dir <- file.path(find.package("gap"),"tests/comp.score")
setwd(cs.dir)
dir()
# system("gh < gh.inp")
cs.default <- comp.score()
setwd(cwd)
## End(Not run)
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