Map between Manufacturer Identifiers and Mendelian Inheritance in Man (MIM) identifiers

Description

illuminaHumanv2BeadIDOMIM is an R object that provides mappings between manufacturer identifiers and OMIM identifiers.

Details

Each manufacturer identifier is mapped to a vector of OMIM identifiers. The vector length may be one or longer, depending on how many OMIM identifiers the manufacturer identifier maps to. An NA is reported for any manufacturer identifier that cannot be mapped to an OMIM identifier at this time.

OMIM is based upon the book Mendelian Inheritance in Man (V. A. McKusick) and focuses primarily on inherited or heritable genetic diseases. It contains textual information, pictures, and reference information that can be searched using various terms, among which the MIM number is one.

Mappings were based on data provided by: Entrez Gene ftp://ftp.ncbi.nlm.nih.gov/gene/DATA With a date stamp from the source of: 2010-Sep7

References

http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=gene http://www3.ncbi.nlm.nih.gov/entrez/query.fcgi?db=OMIM

Examples

        x <- illuminaHumanv2BeadIDOMIM
        # Get the probe identifiers that are mapped to a OMIM ID
        mapped_probes <- mappedkeys(x)
        # Convert to a list
        xx <- as.list(x[mapped_probes])
        if(length(xx) > 0) {
          # Get the OMIM for the first five probes
          xx[1:5]
          # Get the first one
          xx[[1]]
        }

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> library(illuminaHumanv2BeadID.db)
Loading required package: AnnotationDbi
Loading required package: stats4
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, cbind, colnames, do.call, duplicated, eval, evalq,
    get, grep, grepl, intersect, is.unsorted, lapply, lengths, mapply,
    match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank,
    rbind, rownames, sapply, setdiff, sort, table, tapply, union,
    unique, unsplit

Loading required package: Biobase
Welcome to Bioconductor

    Vignettes contain introductory material; view with
    'browseVignettes()'. To cite Bioconductor, see
    'citation("Biobase")', and for packages 'citation("pkgname")'.

Loading required package: IRanges
Loading required package: S4Vectors

Attaching package: 'S4Vectors'

The following objects are masked from 'package:base':

    colMeans, colSums, expand.grid, rowMeans, rowSums

Loading required package: org.Hs.eg.db


illuminaHumanv2BeadID.db is an older package, and the package
  contributor no longer supports it. Please be advised that this
  package is now out of date and should not occur in future
  bioconductor releases.  For a more current package containing the
  same kind of data, please use the appropriate illumina_XXX_.db
  packages instead of the illumina_XXX_BeadID.db packages and make use
  of the new illumina_XXX_ARRAYADDRESS mapping to convert between
  BeadIDs and Illumina IDs.

*_XXX_ here refers to the species and version for this platform

> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/illuminaHumanv2BeadID.db/illuminaHumanv2BeadIDOMIM.Rd_%03d_medium.png", width=480, height=480)
> ### Name: illuminaHumanv2BeadIDOMIM
> ### Title: Map between Manufacturer Identifiers and Mendelian Inheritance
> ###   in Man (MIM) identifiers
> ### Aliases: illuminaHumanv2BeadIDOMIM
> ### Keywords: datasets
> 
> ### ** Examples
> 
>         x <- illuminaHumanv2BeadIDOMIM
>         # Get the probe identifiers that are mapped to a OMIM ID
>         mapped_probes <- mappedkeys(x)
>         # Convert to a list
>         xx <- as.list(x[mapped_probes])
>         if(length(xx) > 0) {
+           # Get the OMIM for the first five probes
+           xx[1:5]
+           # Get the first one
+           xx[[1]]
+         }
[1] "116946"
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>