Schema for TCGA Pan-Cancer - TCGA Pan-Cancer mutations: 33 TCGA Cancer Projects Summary (Pan-Can 33)
  Database: hg38    Primary Table: MESO Data last updated: 2019-05-03
Big Bed File Download: /gbdb/hg38/gdcCancer/MESO.bb
Item Count: 3,824
The data is stored in the binary BigBed format.

Format description: somatic variants converted from MAF files obtained through the NCI GDC
fieldexampledescription
chromchr1Chromosome (or contig, scaffold, etc.)
chromStart166070743Start position in chromosome
chromEnd166070744End position in chromosome
nameC>AName of item
score1Score from 0-1000
strand.+ or -
thickStart166070743Start of where display should be thick (start codon)
thickEnd166070744End of where display should be thick (stop codon)
reserved0,0,0Used as itemRgb as of 2004-11-22
blockCount1Number of blocks
blockSizes1Comma separated list of block sizes
chromStarts0Start positions relative to chromStart
sampleCount1Number of samples with this variant
freq0.0121951219512Variant frequency
Hugo_SymbolFAM78BHugo symbol
Entrez_Gene_Id149297Entrez Gene Id
Variant_ClassificationMissense_MutationClass of variant
Variant_TypeSNPType of variant
Reference_AlleleCReference allele
Tumor_Seq_Allele1CTumor allele 1
Tumor_Seq_Allele2ATumor allele 2
dbSNP_RSnoveldbSNP RS number
dbSNP_Val_StatusdbSNP validation status
days_to_death133.0Number of days till death
cigarettes_per_day--Number of cigarettes per day
weight--Weight
alcohol_history--Any alcohol consumption?
alcohol_intensity--Frequency of alcohol consumption
bmi--Body mass index
years_smoked--Number of years smoked
height--Height
gendermaleGender
project_idTCGA-MESOTCGA Project id
ethnicitynot reportedEthnicity
Tumor_Sample_BarcodeTCGA-YS-A95C-01A-11D-A39R-32Tumor sample barcode
Matched_Norm_Sample_BarcodeTCGA-YS-A95C-10B-01D-A39U-32Matcheds normal sample barcode
case_idca9031aa-87e5-4d5b-a526-3615efac3077Case ID number

Sample Rows
 
chromchromStartchromEndnamescorestrandthickStartthickEndreservedblockCountblockSizeschromStartssampleCountfreqHugo_SymbolEntrez_Gene_IdVariant_ClassificationVariant_TypeReference_AlleleTumor_Seq_Allele1Tumor_Seq_Allele2dbSNP_RSdbSNP_Val_Statusdays_to_deathcigarettes_per_dayweightalcohol_historyalcohol_intensitybmiyears_smokedheightgenderproject_idethnicityTumor_Sample_BarcodeMatched_Norm_Sample_Barcodecase_id
chr1166070743166070744C>A1.1660707431660707440,0,011010.0121951219512FAM78B149297Missense_MutationSNPCCAnovel133.0--------------maleTCGA-MESOnot reportedTCGA-YS-A95C-01A-11D-A39R-32TCGA-YS-A95C-10B-01D-A39U-32ca9031aa-87e5-4d5b-a526-3615efac3077
chr1167809741167809742delT1.1678097411678097420,0,011010.0121951219512ADCY1055811Frame_Shift_DelDELTT-novel457.0--------------maleTCGA-MESOnot hispanic or latinoTCGA-TS-A7P8-01A-11D-A34C-32TCGA-TS-A7P8-10A-01D-A34C-3292c1f122-2f48-47a7-b3b8-c1792a1f4f32
chr1169593612169593613C>T1.1695936121695936130,0,011010.0121951219512SELP6403Missense_MutationSNPCCTnovel1261.0--------------maleTCGA-MESOnot reportedTCGA-TS-A7P0-01A-11D-A34C-32TCGA-TS-A7P0-10A-01D-A34C-32e23bc730-b369-4d6a-90ce-7223e234cd4d
chr1169729577169729578C>T1.1697295771697295780,0,011010.0121951219512SELE6401Missense_MutationSNPCCTnovel1261.0--------------maleTCGA-MESOnot reportedTCGA-TS-A7P0-01A-11D-A34C-32TCGA-TS-A7P0-10A-01D-A34C-32e23bc730-b369-4d6a-90ce-7223e234cd4d
chr1170959571170959572G>A1.1709595711709595720,0,011010.0121951219512MROH980133Missense_MutationSNPGGAnovel406.0--------------maleTCGA-MESOnot hispanic or latinoTCGA-UD-AAC7-01A-11D-A39R-32TCGA-UD-AAC7-10A-01D-A39U-320ac27bc8-346e-4006-a701-d9676fb91cb7
chr1170971779170971780G>T1.1709717791709717800,0,011010.0121951219512MROH980133SilentSNPGGTnovel20.0--------------maleTCGA-MESOnot hispanic or latinoTCGA-NQ-A57I-01A-11D-A34C-32TCGA-NQ-A57I-10A-01D-A34C-320c5ae0f7-b2ac-4b1b-aabb-83994ebb9326
chr1171532412171532413A>T1.1715324121715324130,0,011010.0121951219512PRRC2C23215Missense_MutationSNPAATrs191833586by1000G142.0--------------maleTCGA-MESOnot reportedTCGA-3U-A98D-01A-12D-A39R-32TCGA-3U-A98D-10A-01D-A39U-32c5d4d4b4-2c9e-4865-8860-68327356d461
chr1173041260173041262insT1.1730412601730412620,0,012010.0121951219512TNFSF1889953'UTRINS--Tnovel414.0--------------maleTCGA-MESOnot hispanic or latinoTCGA-SC-A6LN-01A-11D-A34C-32TCGA-SC-A6LN-10A-01D-A34C-322d2d8421-18a7-4822-ba37-69fbf48da225
chr1173587719173587720G>A1.1735877191735877200,0,011010.0121951219512SLC9C2284525SilentSNPGGAnovel78.0--------------maleTCGA-MESOnot hispanic or latinoTCGA-SC-A6LP-01A-11D-A34C-32TCGA-SC-A6LP-10A-01D-A34C-32dc6720dd-5028-49d3-8508-a7936e7b3faa
chr1175330187175330188G>A1.1753301871753301880,0,011010.0121951219512TNR7143Missense_MutationSNPGGAnovel789.0--------------femaleTCGA-MESOnot hispanic or latinoTCGA-UD-AAC1-01A-11D-A39R-32TCGA-UD-AAC1-10A-01D-A39U-32f235c37f-ce8d-42ea-9b3f-065fc7e0c8b8

TCGA Pan-Cancer (gdcCancer) Track Description
 

Description

This track shows the genomic positions of somatic variants found through whole genome sequencing of tumors as part of The Cancer Genome Atlas (TCGA) by the National Cancer Institute, made available through the Genomic Data Commons Portal. The data shown here is sometimes called the "Pan-Cancer dataset", a collection of thirty-three TCGA projects processed in a uniform way.

Display Conventions and Configuration

Variants can be filtered by project ID and gender from the track details page. Pressing the "All" button allows the user to specify whether the checked values all have to be true of a particular variant, or if only one of them need be present to satisfy the filter.

The vertical viewing range in full mode can also be used to filter what variants are shown. Variants that have a sampleCount more or less than the min and max values specificed in the viewing range are not displayed.

Data access

The raw data can be explored interactively with the Table Browser or the Data Integrator.

For automated download and analysis, the genome annotation for all the thirty-three projects is stored in a bigBed file that can be downloaded from our download server. There are also bigBed files for each of the thirty-three projects in that directory. Individual regions or the whole genome annotation can be obtained using our tool bigBedToBed which can be compiled from the source code or downloaded as a precompiled binary for your system. Instructions for downloading source code and binaries can be found here. The tool can also be used to obtain only features within a given range, e.g.,

bigBedToBed http://hgdownload.soe.ucsc.edu/gbdb/hg38/gdcCancer/gdcCancer.bb -chrom=chr21 -start=0 -end=100000000 stdout

Methods

All MuTect Variant calls were downloaded from the GDC portal in January 2019 and reformatted at UCSC to the bigBed format with a short script, cancerMafToBigBed.

Credits

Thanks to GDC for making the TCGA data available on their web site.