SNP array analysis

chobeich · 01-09-2020, 11:25 PM

I there!!

A friend has passed me the data of an Infinium Omni5-4 array. In short, they have applied two different mutagens to a cell line. I have passed a data set that contains:
3 mother samples (MS)
3 samples mutagen 1 (M1)
3 samples mutagen 2 (M2)
Its objective is to identify the mutagenic potential of each mutagen.
After googeling, I think what I need to do is a Manhattan plot to identify the chromosomal regions that have mutated the most for each mutagen.
What I have done at the moment is:
1 Genotyping callin, using the Genotyping Module of Genome Studio
2 Establish the reference set: SNP's 100% call and with the same genotype in all MS.
3 Assign each SNP of samples M1 and M2 a 1 if the genotype has varied from the reference or a 0 if it has not. The SNPs of the M1 and M2 samples that are not in the reference set or that are not 100% called have been discarded.
I have done all this with perl. What I now have is a text file with the following structure:
SNP_1 SNP_2 ...
M1.1 1 0
M1.2 1 1
.
.
M2.3 1 0

And that's all folks!!, I have no idea what I should do now.
Any help will be welcome because, as you may deduced, I have no idea of working with arrays or statistics.
Thank you

chobeich · 01-29-2020, 02:23 AM

Hi Vasudev,
I'm afraid this is not an array analysis, at least not complete.
The part of the analysis of results, that I hope someday someone completes, is missing.
In addition, until someone with experience in the analysis of arrays is pronounced, this should be interpreted as a noob's attempt to interpret data with which he had never worked before.
Anyway, thanks for your comment.

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01-09-2020, 11:25 PM	#1
chobeich Junior Member Location: Spain Join Date: Jan 2020 Posts: 4	SNP array analysis I there!! A friend has passed me the data of an Infinium Omni5-4 array. In short, they have applied two different mutagens to a cell line. I have passed a data set that contains: 3 mother samples (MS) 3 samples mutagen 1 (M1) 3 samples mutagen 2 (M2) Its objective is to identify the mutagenic potential of each mutagen. After googeling, I think what I need to do is a Manhattan plot to identify the chromosomal regions that have mutated the most for each mutagen. What I have done at the moment is: 1 Genotyping callin, using the Genotyping Module of Genome Studio 2 Establish the reference set: SNP's 100% call and with the same genotype in all MS. 3 Assign each SNP of samples M1 and M2 a 1 if the genotype has varied from the reference or a 0 if it has not. The SNPs of the M1 and M2 samples that are not in the reference set or that are not 100% called have been discarded. I have done all this with perl. What I now have is a text file with the following structure: SNP_1 SNP_2 ... M1.1 1 0 M1.2 1 1 . . M2.3 1 0 And that's all folks!!, I have no idea what I should do now. Any help will be welcome because, as you may deduced, I have no idea of working with arrays or statistics. Thank you

01-29-2020, 02:23 AM	#2
chobeich Junior Member Location: Spain Join Date: Jan 2020 Posts: 4	Hi Vasudev, I'm afraid this is not an array analysis, at least not complete. The part of the analysis of results, that I hope someday someone completes, is missing. In addition, until someone with experience in the analysis of arrays is pronounced, this should be interpreted as a noob's attempt to interpret data with which he had never worked before. Anyway, thanks for your comment.