Closed reimand0 closed 7 years ago
It would be very serious bug. OK, so we have a row:
10 116247760 116247760 T C exonic ABLIM1 . nonsynonymous SNV ABLIM1:NM_006720:exon3:c.A50G:p.H17R,ABLIM1:NM_001003407:exon8:c.A818G:p.H273R,ABLIM1:NM_001003408:exon8:c.A818G:p.H273R,ABLIM1:NM_002313:exon8:c.A998G:p.H333R comments: Ovarian serous cystadenocarcinoma;TCGA-A1-A0SB-01A-11D-A142-09;ABLIM1
in our TCGA_muts_annotated.txt
file.
If I understand correctly, I assumed wrongly that the annotation comment "Ovarian serous cystadenocarcinoma;TCGA-A1-A0SB-01A-11D-A142-09;ABLIM1" indicates that a given mutation is related to cancer type "Ovarian serous cystadenocarcinoma" BUT instead I should check the code from sample id, yes?
I'm terribly sorry for that, but I think it was quite tempting to assume the name from the comment field indicates cancer type - life would be so easy ;)
Sorry, that was my mistake. Uploaded new file TCGA_muts_annotated.txt.gz into dropbox.
On Fri, Dec 2, 2016 at 1:50 AM krassowski notifications@github.com wrote:
It would be very serious bug. OK, so we have a row: 10 116247760 116247760 T C exonic ABLIM1 . nonsynonymous SNV ABLIM1:NM_006720:exon3:c.A50G:p.H17R,ABLIM1:NM_001003407:exon8:c.A818G:p.H273R,ABLIM1:NM_001003408:exon8:c.A818G:p.H273R,ABLIM1:NM_002313:exon8:c.A998G:p.H333R comments: Ovarian serous cystadenocarcinoma;TCGA-A1-A0SB-01A-11D-A142-09;ABLIM1 in our TCGA_muts_annotated.txt file.
If I understand correctly, I assumed wrongly that the annotation comment "Ovarian serous cystadenocarcinoma;TCGA-A1-A0SB-01A-11D-A142-09;ABLIM1" indicates that a given mutation is related to cancer type "Ovarian serous cystadenocarcinoma" BUT instead I should check the code from sample id, yes?
I'm terribly sorry for that, but I think it was quite tempting to assume the name from the comment field indicates cancer type - life would be so easy ;)
— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub https://github.com/reimandlab/Visualisation-Framework-for-Genome-Mutations/issues/91#issuecomment-264386479, or mute the thread https://github.com/notifications/unsubscribe-auth/ASYC_W9oQzK32hhze_ZmqW6lIodlgUJFks5rD7_FgaJpZM4LB3G6 .
I have reimported the TCGA mutations data, it seems to be working.
Seems like tissue types provided by JSON are shown incorrectly. Marta analysed thousands of breast cancer mutations and they were mapped to various types (ovarian, brain, lung). I tried a few examples and arrived at the same conclusion.
https://rl-db.oicr.on.ca/chromosome/mutation/chr10/116247760/T/C
This mutation is from the TCGA MAF file of breast adenocarcinoma.
ABLIM1 0 - 37 10 116247760 116247760 + Missense_Mutation SNP T T C TCGA-A1-A0SB-01A-11D-A142-09 TCGA-A1-A0SB-10B-01D-A142-09
The barcode has A1 in the 2nd position, meaning it is a breast cancer sample according to the table from TCGA https://wiki.nci.nih.gov/pages/viewpage.action?pageId=29557833
Does this affect only JSON or other parts of the database?