Schema for TCGA Pan-Cancer - TCGA Pan-Cancer mutations: 33 TCGA Cancer Projects Summary (Pan-Can 33)
  Database: hg38    Primary Table: ESCA Data last updated: 2019-05-03
Big Bed File Download: /gbdb/hg38/gdcCancer/ESCA.bb
Item Count: 44,925
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.)
chromStart166070161Start position in chromosome
chromEnd166070162End position in chromosome
nameT>CName of item
score1Score from 0-1000
strand.+ or -
thickStart166070161Start of where display should be thick (start codon)
thickEnd166070162End 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
freq0.0054347826087Variant 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_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
weight58.0Weight
alcohol_historyyesAny alcohol consumption?
alcohol_intensity--Frequency of alcohol consumption
bmi21.3039485767Body mass index
years_smoked--Number of years smoked
height165.0Height
gendermaleGender
project_idTCGA-ESCATCGA Project id
ethnicitynot hispanic or latinoEthnicity
Tumor_Sample_BarcodeTCGA-LN-A4A2-01A-31D-A27G-09Tumor sample barcode
Matched_Norm_Sample_BarcodeTCGA-LN-A4A2-10A-01D-A27G-09Matcheds normal sample barcode
case_ida91c3f09-5f48-4b54-b669-c768f9fe9682Case 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
chr1166070161166070162T>C1.1660701611660701620,0,011010.0054347826087FAM78B1492973'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
chr1166070464166070465T>C1.1660704641660704650,0,011010.0054347826087FAM78B149297Missense_MutationSNPTTCnovel----88.0no--28.7346938776--175.0maleTCGA-ESCAnot hispanic or latinoTCGA-V5-AASW-01A-11D-A403-09TCGA-V5-AASW-10A-01D-A403-09ad2fe57c-2f44-4d57-83a9-349c8a25c414
chr1166623650166623651G>T1.1666236501666236510,0,011010.0054347826087FMO9P116123RNASNPGGTnovel247.00.54794520547948.0yes--17.8465199286--164.0maleTCGA-ESCAnot reportedTCGA-VR-A8EW-01A-11D-A36J-09TCGA-VR-A8EW-10A-01D-A36M-0971f9f567-3687-4e3f-ad20-aed026a5b7e1
chr1166841073166841074T>C1.1668410731668410740,0,011010.0054347826087POGK57645Missense_MutationSNPTTCnovel----95.0yes--30.3233425899--177.0maleTCGA-ESCAnot reportedTCGA-JY-A6FB-01A-11D-A33E-09TCGA-JY-A6FB-10A-01D-A33H-09c17331fb-c47b-40b5-8d39-9803ee37a42a
chr1166849323166849324C>T1.1668493231668493240,0,011010.0054347826087POGK57645Missense_MutationSNPCCTnovel----103.0yes--27.9405381944--192.0maleTCGA-ESCAnot hispanic or latinoTCGA-R6-A6XG-01B-11D-A33E-09TCGA-R6-A6XG-10A-01D-A33H-093df30783-c93d-4204-9703-c24c2349ba15
chr1166849379166849380C>T1.1668493791668493800,0,011010.0054347826087POGK57645SilentSNPCCTnovel131.02.9589041095961.0yes--21.3577955954--169.0maleTCGA-ESCAnot reportedTCGA-L5-A43J-01A-12D-A247-09TCGA-L5-A43J-11A-11D-A247-09209e2e16-cb88-4a8f-9cdb-10e152caa26c
chr1166853645166853646G>C1.1668536451668536460,0,011010.0054347826087POGK576453'UTRSNPGGCnovel----62.0yes--20.2448979592--175.0maleTCGA-ESCAnot hispanic or latinoTCGA-LN-A4A4-01A-11D-A27G-09TCGA-LN-A4A4-10A-01D-A27G-09e89d7900-915d-4936-b1b2-cac3670ea2f4
chr1166854228166854229G>A1.1668542281668542290,0,011010.0054347826087POGK576453'UTRSNPGGAnovel--1.20547945205100.0yes--34.6020761246--170.0femaleTCGA-ESCAnot hispanic or latinoTCGA-IC-A6RF-01A-13D-A33E-09TCGA-IC-A6RF-10A-21D-A33H-099dfddc49-1e66-4e26-9d71-40d748cca0a6
chr1166856629166856630A>G1.1668566291668566300,0,011010.0054347826087TADA11171433'UTRSNPAAGnovel484.01.0958904109656.0yes--19.1511918197--171.0maleTCGA-ESCAnot reportedTCGA-VR-AA7I-01A-11D-A403-09TCGA-VR-AA7I-10A-01D-A403-09a34c2eda-3e24-4eb8-94cc-a5ccc819d771
chr1166857428166857429A>C1.1668574281668574290,0,011010.0054347826087TADA11171433'UTRSNPAACnovel--0.16438356164489.0yes--27.4691358025--180.0maleTCGA-ESCAnot hispanic or latinoTCGA-R6-A8WC-01A-11D-A37C-09TCGA-R6-A8WC-10A-01D-A37F-099a1c83cd-d746-4008-8ed3-22cd44951e29

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.