Dear cBioPortal community,
I would like to ask you for a rather general but quite challenging question regarding the utilization of mutational MAF cancer files from distinct cancer types, for re-annotation and downstream analysis using cBioPortal; In detail, based on a current project analysis, of testing one variant scoring pipeline, I was trying to fetch some MAF files from distinct resources (here the “extended” MAF file from CPTAC CRC dataset):
# after loading the maf file and keeping specific columns:
head(xx2)
Hugo_Symbol Chromosome Start_Position End_Position Strand Variant_Type Reference_Allele
1: PTPN22 1 114380884 114380884 + SNP A
2: CD1D 1 158151458 158151458 + SNP G
3: ZMYM1 1 35580705 35580705 + SNP C
4: ITIH5 10 7679197 7679197 + SNP C
5: LRRTM3 10 68687135 68687135 + SNP G
6: CDH23 10 73553339 73553339 + SNP C
Tumor_Seq_Allele1 Tumor_Seq_Allele2
1: A T
2: G A
3: C T
4: C T
5: G A
6: C A
My crucial question is that as I would like to re-annotate the available mutations for specific patients, I would need to fetch specific columns, two of these are the reference (normal) and tumor (alteration)
Allele; from the above information, there are two available tumor allele columns: Tumor_Seq_Allele1 and Tumor_Seq_Allele2; however, which one should I use as the “ alteration allele” ? based also on the
Reference_Allele column?
I also found some relative posts: https://www.biostars.org/p/424846/
https://docs.cbioportal.org/5.1-data-loading/data-loading/file-formats#mutation-data
https://docs.gdc.cancer.gov/Data/File_Formats/MAF_Format/
but I did not find a clear answer how to proceed with this; Is there a direct approach? For example as Tumor_Seq_Allele1 is the same with the Reference_Allele column, I should choose the Tumor_Seq_Allele2?
Cheers,
Efstathios
Efstathios-Iason Vlachavas
Post-doc/Guest Scientist
German Cancer Research Center (DKFZ)
Foundation under Public Law
Im Neuenheimer Feld 280
69120 Heidelberg
Germany
phone: +49 6221 42-5123
fax: +49 6221 42-5109
Efstathios-Ia...@dkfz-heidelberg.de

Management Board: Prof. Dr. med. Michael Baumann, Ursula Weyrich
VAT-ID No.: DE143293537
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