[BioC] SQLForge and probes that map to multiple genes

[Sean Davis]

On Mon, Jul 14, 2008 at 11:20 AM, Cei Abreu-Goodger <cei at sanger.ac.uk> wrote:
> Hi all,
>
> I'm trying to generate an annotation package for a custom mouse Affy chip
> (GNF1M). I'm a bit confused about how the package deals with probes that are
> mapped to multiple genes. Sure, when I have a single column of identifiers
> everything works nicely, but what exactly happens when I have more than one
> gene per probe?
>
> I tried a mock annotation, code below:
>
> # Running code to build the annotation package
>> library(AnnotationDbi)
>> library(mouse.db0)
>>
>> refseqs <- "gnf1m.test.tab"
>> read.table(refseqs)
>              V1        V2        V3
> 1   gnf1m00050_at NM_008929 NM_172283
> 2 gnf1m00051_a_at NM_007487 NM_172283
> 3 gnf1m00052_a_at NM_178939 NM_172283
> 4 gnf1m00053_a_at NM_181666 NM_172283
> 5 gnf1m00054_a_at NM_026430 NM_172283
> 6 gnf1m00055_a_at NM_029916 NM_172283
> 7 gnf1m00056_a_at NM_181666 NM_172283
>>
>> makeMOUSECHIP_DB(affy=FALSE, prefix="test", fileName=refseqs,
>> baseMapType="refseq",
> +                  outputDir=".", version="0.9",
> manufacturer="GNF-Affymetrix", chipName="gnf1m")
>
>
> After installing, though, it seems to me that I have something strange.
> Although I added the refseq "NM_172283" to all of the probes, in the
> annotation it only went to two of them, the last one and another that was
> identical (see below). This might not be the best example, but if I do have
> probes that map to different genes, what's the best way of making SQLForge
> aware of this?
>
> Thanks!
>
> Cei
>
>
> # loading and accessing the annotation package
>> library(test.db)
>> as.list(testREFSEQ)
> $gnf1m00050_at
> [1] "NM_008929" "NP_032955"
>
> $gnf1m00051_a_at
> [1] "NM_001039515" "NM_007487"    "NP_001034604" "NP_031513"
> $gnf1m00052_a_at
> [1] "NM_178939" "NP_849270"
>
> $gnf1m00053_a_at
> [1] "NM_172283" "NM_181666" "NP_758487" "NP_858052"
>
> $gnf1m00054_a_at
> [1] "NM_026430" "NP_080706"
>
> $gnf1m00055_a_at
> [1] "NM_029916" "NP_084192"
>
> $gnf1m00056_a_at
> [1] "NM_172283" "NM_181666" "NP_758487" "NP_858052"

If you look up NM_18166 and NM_172283, they are transcripts for the
same gene, so one would expect that they will always be included
together in the *REFSEQ lookup.  The reason this is important is that,
despite the fact that it appears that the third column in your data is
being used, it is not.

You probably want to look at the otherSrc parameter for specifying
additional IDs to map.

Sean


>> sessionInfo()
> R version 2.7.0 (2008-04-22)
> i386-apple-darwin8.10.1
>
> locale:
> C
>
> attached base packages:
> [1] stats     graphics  grDevices datasets  tools     utils     methods [8]
> base
> other attached packages:
> [1] test.db_0.9         mouse.db0_2.1.4     AnnotationDbi_1.2.0
> [4] RSQLite_0.6-8       DBI_0.2-4           Biobase_2.0.0
>
>
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