plotIBDsegment {hapFabia} | R Documentation

## Plots an IBD segment given genotype data and tagSNVs

### Description

`plotIBDsegment`: R implementation of `plotIBDsegment`.

A IBD segment is plotted where individuals that are plotted must be provided together with tagSNVs and their physical positions. The individuals are provided as genotyping matrix. The model, i.e. the tagSNVs, is shown, too. Annotations of tagSNVs like match with another genome (Neandertal, Denisova) can be visualized.

### Usage

    plotIBDsegment(Lout,tagSNV,physPos=NULL,colRamp=12,val=c(0.0,2.0,1.0),chrom="",count=0,labelsNA=NULL,prange=NULL,labelsNA1=c("model L"),grid=FALSE,pairs=FALSE,...)

### Arguments

`Lout` | the alleles of the individuals are provided; typically via a previous call of the fabia function `readSamplesSpfabia`.
`tagSNV` | tagSNVs given as numbers if all SNVs are enumerated.
`physPos` | physical position of tagSNVs in bp.
`colRamp` | passed to `matrixPlot`: color representation.
`val` | vector of 3 components containing values for representation of reference allele, minor allele that is not tagSNV, minor allele that is tagSNV, respectively.
`chrom` | chromosome as string.
`count` | counter which is shown in the title if larger than 0 (for viewing a series of IBD segments).
`labelsNA` | labels for the individuals.
`prange` | vector of two integer values giving the begin and end of a subinterval of the interval for zooming in.
`labelsNA1` | labels for tagSNVs by the model obtained by fabia; other tagSNV annotations like match with another genome (Neandertal, Denisova) can be visualized.
`grid` | does the plot have a grid?; default FALSE (no).
`pairs` | for pairwise groups, e.g. case-control, twins, etc.; default FALSE (no).
`...` | other graphical parameters may also be passed as arguments to this function.

### Details

A IBD segment is plotted showing tagSNVs and minor alleles of other SNVs. Provided are individuals to plot together with tagSNVs and their physical positions. Other annotations of tagSNVs can be visualized.

In the plot the $y$-axis gives the individuals or the chromosomes and the $x$-axis consecutive SNVs. The default color coding uses yellow for major alleles, violet for minor alleles of tagSNVs, and blue for minor alleles of other SNVs. `model L` indicates tagSNVs identified by hapFabia in violet.

Implementation in R.

### Value

Plots an IBD segment given genotype data and tagSNVs

### Author(s)

Sepp Hochreiter

### References

S. Hochreiter et al., ‘FABIA: Factor Analysis for Bicluster Acquisition’, Bioinformatics 26(12):1520-1527, 2010.

### See Also

`IBDsegment-class`, `IBDsegmentList-class`, `analyzeIBDsegments`, `compareIBDsegmentLists`, `extractIBDsegments`, `findDenseRegions`, `hapFabia`, `hapFabiaVersion`, `hapRes`, `chr1ASW1000G`, `IBDsegmentList2excel`, `identifyDuplicates`, `iterateIntervals`, `makePipelineFile`, `matrixPlot`, `mergeIBDsegmentLists`, `mergedIBDsegmentList`, `plotIBDsegment`, `res`, `setAnnotation`, `setStatistics`, `sim`, `simu`, `simulateIBDsegmentsFabia`, `simulateIBDsegments`, `split_sparse_matrix`, `toolsFactorizationClass`, `vcftoFABIA`

### Examples

    old_dir <- getwd()
    setwd(tempdir())

    data(hapRes)

    data(simu)

    namesL <- simu[["namesL"]]
    haploN <- simu[["haploN"]]
    snvs <- simu[["snvs"]]
    annot <- simu[["annot"]]
    alleleIimp <- simu[["alleleIimp"]]
    write.table(namesL,file="dataSim1fabia_individuals.txt",
       quote = FALSE,row.names = FALSE,col.names = FALSE)
    write(as.integer(haploN),file="dataSim1fabia_annot.txt",
       ncolumns=100)
    write(as.integer(snvs),file="dataSim1fabia_annot.txt",
       append=TRUE,ncolumns=100)
    write.table(annot,file="dataSim1fabia_annot.txt",
       sep = " ", quote = FALSE,row.names = FALSE,
       col.names = FALSE,append=TRUE)
    write(as.integer(haploN),file="dataSim1fabia_mat.txt",
       ncolumns=100)
    write(as.integer(snvs),file="dataSim1fabia_mat.txt",
       append=TRUE,ncolumns=100)

    for (i in 1:haploN) {

      a1 <- which(alleleIimp[i,]>0.01)

      al <- length(a1)
      b1 <- alleleIimp[i,a1]

      a1 <- a1 - 1
      dim(a1) <- c(1,al)
      b1 <- format(as.double(b1),nsmall=1)
      dim(b1) <- c(1,al)

      write.table(al,file="dataSim1fabia_mat.txt",
         sep = " ", quote = FALSE,row.names = FALSE,
         col.names = FALSE,append=TRUE)
      write.table(a1,file="dataSim1fabia_mat.txt",
         sep = " ", quote = FALSE,row.names = FALSE,
         col.names = FALSE,append=TRUE)
      write.table(b1,file="dataSim1fabia_mat.txt",
         sep = " ", quote = FALSE,row.names = FALSE,
         col.names = FALSE,append=TRUE)

    }

    mergedIBDsegmentList <- hapRes$mergedIBDsegmentList
    individuals <- individuals(mergedIBDsegmentList[[1]])
    tagSNVs <- tagSNVs(mergedIBDsegmentList[[1]])
    tagSNVs <-
       as.integer(sort.int(as.integer(unique(tagSNVs))))
    tagSNVPositions <-
       tagSNVPositions(mergedIBDsegmentList[[1]])
    labelIndividuals <-
       labelIndividuals(mergedIBDsegmentList[[1]])
    Lout <- readSamplesSpfabia(X="dataSim1fabia_mat",
       samples=individuals,lowerB=0,upperB=1000.0)
    tagSNVsL <- list(tagSNVs)
    labelsK <- c("model L")
    plotIBDsegment(Lout=Lout,tagSNV=tagSNVsL,
       physPos=tagSNVPositions,colRamp=12,val=c(0.0,2.0,1.0),
       chrom="1",count=0,labelsNA=labelIndividuals,
       labelsNA1=labelsK)

    setwd(old_dir)

[Package hapFabia version 1.34.0 Index]