R/alleleFrequency.R

In smgogarten/GWASTools: Tools for Genome Wide Association Studies

alleleFrequency <- function(genoData, # object of type GenotypeData
                            scan.exclude = NULL, # vector of scanIDs to exclude
                            verbose = TRUE) {

    ## This function gets the frequency of the A allele over specified scans

    ## check that sex in included in genoData
    if (!hasSex(genoData)) stop("sex not found in genoData")

    ## get vectors for included scans
    scanID <- getScanID(genoData)
    sex <- getSex(genoData)
    keep <- which(!is.element(scanID, scan.exclude))
    males <- which(!is.na(sex) & sex == "M" & !is.element(scanID, scan.exclude))
    females <- which(!is.na(sex) & sex == "F" & !is.element(scanID, scan.exclude))

    ## get chromosome types
    chrom <- getChromosome(genoData, char=TRUE)
    xchr <- chrom == "X"
    ychr <- chrom == "Y"
    
    ## Object to hold allelic frequency results
    snpID <- getSnpID(genoData)
    afreq <- matrix(0, length(snpID), 3, dimnames=list(snpID, c("M","F","all")))
    nonmiss <- matrix(0, length(snpID), 3, dimnames=list(snpID, c("M","F","all")))
    nsamp <- matrix(0, length(snpID), 3, dimnames=list(snpID, c("n.M","n.F","n")))
    
    N <- length(scanID)
    for(i in 1:N){    
        if (verbose & (i %% 100 == 0)) {
            message(paste("reading scan", i, "of", N))
        }
        if (i %in% keep) {
            geno <- getGenotype(genoData, snp=c(1,-1), scan=c(i,1))
            if (i %in% males) {
                ## all but sex chroms
                noxy <- !(xchr | ychr | is.na(geno))
                afreq[noxy,"M"] <- afreq[noxy,"M"] + geno[noxy]
                nonmiss[noxy,"M"] <- nonmiss[noxy,"M"] + 2 # 2 alleles per genotype

                ## X and Y - don't count heterozygotes
                xy <- (xchr | ychr) & !is.na(geno) & (geno != 1)
                afreq[xy,"M"] <- afreq[xy,"M"] + (geno[xy]/2) # 1 allele coded as 2
                nonmiss[xy,"M"] <- nonmiss[xy,"M"] + 1

                ## sample size
                nsamp[noxy | xy,"n.M"] <- nsamp[noxy | xy,"n.M"] + 1
                
            } else if (i %in% females) {
                ## all but Y
                noy <- !(ychr | is.na(geno))
                afreq[noy,"F"] <- afreq[noy,"F"] + geno[noy]
                nonmiss[noy,"F"] <- nonmiss[noy,"F"] + 2 # 2 alleles per genotype
                nsamp[noy,"n.F"] <- nsamp[noy,"n.F"] + 1
            } else {
                ## missing sex
                noxy <- !(xchr | ychr | is.na(geno))
                afreq[noxy,"all"] <- afreq[noxy,"all"] + geno[noxy]
                nonmiss[noxy,"all"] <- nonmiss[noxy,"all"] + 2
                nsamp[noxy,"n"] <- nsamp[noxy,"n"] + 1
            }
        }
    }
    afreq[,"all"] <- afreq[,"all"] + rowSums(afreq[,c("M","F")])
    nonmiss[,"all"] <- nonmiss[,"all"] + rowSums(nonmiss[,c("M","F")])
    nsamp[,"n"] <- nsamp[,"n"] + rowSums(nsamp[,c("n.M","n.F")])
    afreq.frac <- afreq/nonmiss
    MAF <- pmin(afreq.frac[,"all"], 1-afreq.frac[,"all"])
    afreq.frac <- cbind(afreq.frac, nsamp, MAF)
    return(afreq.frac)
}