Schema for TCGA Pan-Cancer - TCGA Pan-Cancer mutations: 33 TCGA Cancer Projects Summary (Pan-Can 33)
  Database: hg38    Primary Table: READ Data last updated: 2019-05-03
Big Bed File Download: /gbdb/hg38/gdcCancer/READ.bb
Item Count: 63,993
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.)
chromStart166070159Start position in chromosome
chromEnd166070160End position in chromosome
nameT>GName of item
score1Score from 0-1000
strand.+ or -
thickStart166070159Start of where display should be thick (start codon)
thickEnd166070160End 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
freq0.00729927007299Variant frequency
Hugo_SymbolFAM78BHugo symbol
Entrez_Gene_Id149297Entrez Gene Id
Variant_Classification3'UTRClass of variant
Variant_TypeSNPType of variant
Reference_AlleleTReference allele
Tumor_Seq_Allele1TTumor allele 1
Tumor_Seq_Allele2GTumor 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
weight61.0Weight
alcohol_history--Any alcohol consumption?
alcohol_intensity--Frequency of alcohol consumption
bmi19.9183673469Body mass index
years_smoked--Number of years smoked
height175.0Height
gendermaleGender
project_idTCGA-READTCGA Project id
ethnicitynot hispanic or latinoEthnicity
Tumor_Sample_BarcodeTCGA-F5-6814-01A-31D-1924-10Tumor sample barcode
Matched_Norm_Sample_BarcodeTCGA-F5-6814-10A-01D-1924-10Matcheds normal sample barcode
case_id8feb0e8f-d09b-437d-8651-0cdecfe776bfCase 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
chr1166070159166070160T>G1.1660701591660701600,0,011010.00729927007299FAM78B1492973'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
chr1166166204166166205C>T1.1661662041661662050,0,011010.00729927007299FAM78B149297Missense_MutationSNPCCT----86.4----26.5191335241--180.5maleTCGA-READnot hispanic or latinoTCGA-AH-6897-01A-11D-1924-10TCGA-AH-6897-10A-01D-1924-10182fe81e-9c96-4824-8a8a-28f7c498020f
chr1166841064166841065C>T1.1668410641668410650,0,011010.00729927007299POGK57645Nonsense_MutationSNPCCT----80.0----25.826446281--176.0maleTCGA-READnot hispanic or latinoTCGA-EI-6917-01A-11D-1924-10TCGA-EI-6917-10A-01D-1924-100cb21fb0-520f-4105-99ec-697a335115b5
chr1166849345166849346A>G1.1668493451668493460,0,011010.00729927007299POGK57645Missense_MutationSNPAAGnovel----------------femaleTCGA-READnot reportedTCGA-AG-3892-01A-01D-1989-10TCGA-AG-3892-10A-01W-1073-09ded3feb2-1079-4520-a7ca-f5b5fc73d7c5
chr1166920768166920769G>C1.1669207681669207690,0,011010.00729927007299ILDR2387597Missense_MutationSNPGGCnovel----64.0----25.3154542937--159.0femaleTCGA-READnot hispanic or latinoTCGA-DY-A0XA-01A-11D-A152-10TCGA-DY-A0XA-10A-01D-A152-109df9af6b-00b0-47af-aac7-b52dac399ba5
chr1166956810166956811C>T1.1669568101669568110,0,011010.00729927007299ILDR2387597Missense_MutationSNPCCT----------------femaleTCGA-READnot reportedTCGA-AG-3742-01A-11D-1657-10TCGA-AG-3742-11A-01D-1657-10fbcd7e69-533f-4b6c-9868-162139135b58
chr1166957860166957861C>T1.1669578601669578610,0,011010.00729927007299ILDR2387597Missense_MutationSNPCCT----108.0----34.0866052266--178.0maleTCGA-READnot hispanic or latinoTCGA-EI-6882-01A-11D-1924-10TCGA-EI-6882-10A-01D-1924-10e3a80e41-2e46-4b04-86c6-fd444d616ab5
chr1167005350167005351C>T1.1670053501670053510,0,011010.00729927007299MAEL84944Nonsense_MutationSNPCCT----------------maleTCGA-READnot reportedTCGA-AG-A002-01A-01W-A00K-09TCGA-AG-A002-10A-01W-A00K-09cb005c69-7301-41ce-b534-c9751f1436c5
chr1167021145167021147insA1.1670211451670211470,0,012010.00729927007299MAEL84944Frame_Shift_InsINS--A----108.0----34.0866052266--178.0maleTCGA-READnot hispanic or latinoTCGA-EI-6882-01A-11D-1924-10TCGA-EI-6882-10A-01D-1924-10e3a80e41-2e46-4b04-86c6-fd444d616ab5
chr1167094853167094854C>T1.1670948531670948540,0,011010.00729927007299DUSP2792235Missense_MutationSNPCCTrs147860718by1000G;byCluster----80.0----25.826446281--176.0maleTCGA-READnot hispanic or latinoTCGA-EI-6917-01A-11D-1924-10TCGA-EI-6917-10A-01D-1924-100cb21fb0-520f-4105-99ec-697a335115b5

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.