Schema for TCGA Pan-Cancer - TCGA Pan-Cancer mutations: 33 TCGA Cancer Projects Summary (Pan-Can 33)
  Database: hg38    Primary Table: allCancer Data last updated: 2019-05-06
Big Bed File Download: /gbdb/hg38/gdcCancer/gdcCancer.bb
Item Count: 2,864,792
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.)
chromStart166069937Start position in chromosome
chromEnd166069938End position in chromosome
nameA>CName of item
score1Score from 0-1000
strand.+ or -
thickStart166069937Start of where display should be thick (start codon)
thickEnd166069938End 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
freq9.82125319191e-05Variant frequency
Hugo_SymbolFAM78BHugo symbol
Entrez_Gene_Id149297Entrez Gene Id
Variant_Classification3'FlankClass of variant
Variant_TypeSNPType of variant
Reference_AlleleAReference allele
Tumor_Seq_Allele1ATumor allele 1
Tumor_Seq_Allele2CTumor allele 2
dbSNP_RSnoveldbSNP RS number
dbSNP_Val_StatusdbSNP validation status
days_to_death--Number of days till death
cigarettes_per_day--Number of cigarettes per day
weight127.0Weight
alcohol_history--Any alcohol consumption?
alcohol_intensity--Frequency of alcohol consumption
bmi47.8000677481Body mass index
years_smoked--Number of years smoked
height163.0Height
genderfemaleGender
project_idTCGA-UCECTCGA Project id
ethnicitynot hispanic or latinoEthnicity
Tumor_Sample_BarcodeTCGA-A5-A2K5-01A-11D-A17W-09Tumor sample barcode
Matched_Norm_Sample_BarcodeTCGA-A5-A2K5-10A-01D-A17W-09Matcheds normal sample barcode
case_idcf77afe9-3785-45d4-ba2a-61c9cb706225Case 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
chr1166069937166069938A>C1.1660699371660699380,0,011019.82125319191e-05FAM78B1492973'FlankSNPAACnovel----127.0----47.8000677481--163.0femaleTCGA-UCECnot hispanic or latinoTCGA-A5-A2K5-01A-11D-A17W-09TCGA-A5-A2K5-10A-01D-A17W-09cf77afe9-3785-45d4-ba2a-61c9cb706225
chr1166070009166070010G>A1.1660700091660700100,0,011019.82125319191e-05FAM78B1492973'FlankSNPGGAnovel----60.0----25.9695290859--152.0femaleTCGA-UCECnot hispanic or latinoTCGA-A5-A0G2-01A-11W-A062-09TCGA-A5-A0G2-10A-01W-A062-094abbd258-0f0c-4428-901d-625d47ad363a
chr1166070060166070061C>T1.1660700601660700610,0,011019.82125319191e-05FAM78B1492973'UTRSNPCCTnovel----------------maleTCGA-SARCnot hispanic or latinoTCGA-QQ-A5VD-01A-21D-A32I-09TCGA-QQ-A5VD-10A-01D-A32I-09e4fb6a08-9d3f-4e62-85ce-7ba0dc03c8e2
chr1166070088166070089G>A1.1660700881660700890,0,011019.82125319191e-05FAM78B1492973'UTRSNPGGAnovel1655.0--------------femaleTCGA-SKCMnot hispanic or latinoTCGA-FS-A4FC-06A-11D-A24R-08TCGA-FS-A4FC-10A-01D-A24R-08b5abfbd1-8f92-4ba3-8f2b-801fb600397a
chr1166070107166070108A>C1.1660701071660701080,0,011019.82125319191e-05FAM78B1492973'UTRSNPAACnovel----66.0----29.3333333333--150.0femaleTCGA-UCEChispanic or latinoTCGA-AX-A05Z-01A-11W-A027-09TCGA-AX-A05Z-10A-01W-A027-09bf632368-8ce7-4b4b-8842-d1b1801e62ef
chr1166070116166070117C>A1.1660701161660701170,0,011019.82125319191e-05FAM78B1492973'UTRSNPCCAnovel----68.0----31.0445580716--148.0femaleTCGA-COADnot hispanic or latinoTCGA-AM-5821-01A-01D-1650-10TCGA-AM-5821-10A-01D-1650-10605baa86-79e3-484d-82d2-4de27d405ba1
chr1166070136166070137G>A1.1660701361660701370,0,011019.82125319191e-05FAM78B1492973'UTRSNPGGAnovel----------------maleTCGA-SKCMnot hispanic or latinoTCGA-FW-A3R5-06A-11D-A23B-08TCGA-FW-A3R5-10A-01D-A23B-08e5bc45ce-8a14-40b5-b9b5-ce45609fef3a
chr1166070159166070160T>G1.1660701591660701600,0,011019.82125319191e-05FAM78B1492973'UTRSNPTTGnovel----61.0----19.9183673469--175.0maleTCGA-READnot hispanic or latinoTCGA-F5-6814-01A-31D-1924-10TCGA-F5-6814-10A-01D-1924-108feb0e8f-d09b-437d-8651-0cdecfe776bf
chr1166070161166070162T>C1.1660701611660701620,0,011019.82125319191e-05FAM78B1492973'UTRSNPTTCnovel----58.0yes--21.3039485767--165.0maleTCGA-ESCAnot hispanic or latinoTCGA-LN-A4A2-01A-31D-A27G-09TCGA-LN-A4A2-10A-01D-A27G-09a91c3f09-5f48-4b54-b669-c768f9fe9682
chr1166070166166070167C>A1.1660701661660701670,0,011019.82125319191e-05FAM78B1492973'UTRSNPCCAnovel----------------maleTCGA-STADnot hispanic or latinoTCGA-HU-A4H0-01A-11D-A25D-08TCGA-HU-A4H0-11A-11D-A25E-08fe45eaee-ff0c-4d52-b18c-04dc2d64d3b4

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.