| scan.gwaa-class {GenABEL} | R Documentation |
This class contains results of GWA analysis. This is
an list object, generated by scan.glm, scan.haplo, ccfast,
qtscore, emp.ccfast, or emp.qtscore.
list of names of SNPs tested
corresponding list of P-values of 1-d.f. (additive or allelic) test for association bestween SNP and trait
corresponding list of P-values of 2-d.f. (genotypic) test for association bestween SNP and trait
P-values from the 1-d.f. test for association bestween SNP and trait; the statistics is corrected for possible inflation
Effect of the B allele in allelic test (OR for ccfast, difference from the mean for qtscore and beta from the scan.glm)
Effect of the AB genotype in genotypic test
Effect of the BB genotype in genotypic test
list of map positions of the SNPs
list of chromosomes the SNPs belong to
list of people used in analysis
list with elements "estimate" (inflation factor estimate, as computed using lower 90 percents of the distribution) and "se" (standard error of the estimate)
which formula/function call was used to comput P-values
family of the link function / nature of the test
signature(object = "scan.gwaa"):
Plots summary of GWAA
signature(object = "scan.gwaa", i = "ANY", j = "ANY", drop = "ANY"):
subsetting operation
signature(object = "scan.gwaa"): extracts annotation
signature(object = "scan.gwaa"): extracts id names
signature(object = "scan.gwaa"): extracts snp names
signature(object = "scan.gwaa"): extracts number of ids
signature(object = "scan.gwaa"): extracts number of snps
signature(object = "scan.gwaa"): extracts map
signature(object = "scan.gwaa"): extracts chromosome
signature(object = "scan.gwaa"): extracts strand
signature(object = "scan.gwaa"): extracts coding
signature(object = "scan.gwaa"): extracts reference allele
signature(object = "scan.gwaa"): extracts effective allele
signature(object = "scan.gwaa"): extracts male indicator
Yurii Aulchenko
ccfast,
qtscore,
scan.glm,
scan.haplo,
emp.ccfast,
emp.qtscore,
estlambda,
plot.scan.gwaa
require(GenABEL.data) data(srdta) sc <- qtscore(qt3,data=srdta,snps=c(1:10)) class(sc) sc[,"P1df"] sc[,"P2df"] sc plot(sc)