Schema for TCGA Pan-Cancer - TCGA Pan-Cancer mutations: 33 TCGA Cancer Projects Summary (Pan-Can 33)
  Database: hg38    Primary Table: UVM Data last updated: 2019-05-03
Big Bed File Download: /gbdb/hg38/gdcCancer/UVM.bb
Item Count: 1,770
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.)
chromStart167055069Start position in chromosome
chromEnd167055070End position in chromosome
nameC>TName of item
score1Score from 0-1000
strand.+ or -
thickStart167055069Start of where display should be thick (start codon)
thickEnd167055070End 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
freq0.0125Variant frequency
Hugo_SymbolGPA33Hugo symbol
Entrez_Gene_Id10223Entrez Gene Id
Variant_ClassificationMissense_MutationClass of variant
Variant_TypeSNPType of variant
Reference_AlleleCReference allele
Tumor_Seq_Allele1CTumor allele 1
Tumor_Seq_Allele2TTumor allele 2
dbSNP_RSrs767074475dbSNP RS number
dbSNP_Val_StatusdbSNP validation status
days_to_death--Number of days till death
cigarettes_per_day--Number of cigarettes per day
weight115.395Weight
alcohol_history--Any alcohol consumption?
alcohol_intensity--Frequency of alcohol consumption
bmi47.6615109601Body mass index
years_smoked--Number of years smoked
height155.6Height
genderfemaleGender
project_idTCGA-UVMTCGA Project id
ethnicitynot hispanic or latinoEthnicity
Tumor_Sample_BarcodeTCGA-YZ-A985-01A-11D-A39W-08Tumor sample barcode
Matched_Norm_Sample_BarcodeTCGA-YZ-A985-10A-01D-A39Z-08Matcheds normal sample barcode
case_idebdabfcb-1c68-4ca1-8b7f-3ea9cdac3a6aCase 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
chr1167055069167055070C>T1.1670550691670550700,0,011010.0125GPA3310223Missense_MutationSNPCCTrs767074475----115.395----47.6615109601--155.6femaleTCGA-UVMnot hispanic or latinoTCGA-YZ-A985-01A-11D-A39W-08TCGA-YZ-A985-10A-01D-A39Z-08ebdabfcb-1c68-4ca1-8b7f-3ea9cdac3a6a
chr1169287329169287330T>C1.1692873291692873300,0,011010.0125NME729922Missense_MutationSNPTTCnovel----52.0----21.9261258222--154.0femaleTCGA-UVMnot hispanic or latinoTCGA-V4-A9EU-01A-11D-A39W-08TCGA-V4-A9EU-10A-01D-A39Z-08df685f8c-645a-47ae-a471-63bf1973a0ae
chr1169540389169540390A>G1.1695403891695403900,0,011010.0125F52153Missense_MutationSNPAAGnovel----69.0----23.3234180638--172.0maleTCGA-UVMnot hispanic or latinoTCGA-V4-A9EO-01A-12D-A39W-08TCGA-V4-A9EO-10A-01D-A39Z-08bcb87378-9f43-45e4-bdf2-f6dfa6ac5b8c
chr1169729196169729197G>T1.1697291961697291970,0,011010.0125SELE6401Missense_MutationSNPGGTnovel----------------maleTCGA-UVMnot reportedTCGA-VD-A8KA-01B-11D-A39W-08TCGA-VD-A8KA-10A-01D-A39Z-08af04ca52-8b71-497e-8135-6ddfca9ab221
chr1169729326169729327A>T1.1697293261697293270,0,011010.0125SELE6401Missense_MutationSNPAATnovel----90.0----29.0547520661--176.0maleTCGA-UVMnot hispanic or latinoTCGA-WC-AA9E-01A-11D-A39W-08TCGA-WC-AA9E-10A-01D-A39Z-084480d290-5e8a-4289-8e3c-de087e0de412
chr1171117112171117113G>A1.1711171121711171130,0,011010.0125FMO32328Missense_MutationSNPGGArs751472166----115.395----47.6615109601--155.6femaleTCGA-UVMnot hispanic or latinoTCGA-YZ-A985-01A-11D-A39W-08TCGA-YZ-A985-10A-01D-A39Z-08ebdabfcb-1c68-4ca1-8b7f-3ea9cdac3a6a
chr1171205610171205611G>A1.1712056101712056110,0,011010.0125FMO22327Missense_MutationSNPGGArs187393653by1000G;byCluster;byFrequency----115.395----47.6615109601--155.6femaleTCGA-UVMnot hispanic or latinoTCGA-YZ-A985-01A-11D-A39W-08TCGA-YZ-A985-10A-01D-A39Z-08ebdabfcb-1c68-4ca1-8b7f-3ea9cdac3a6a
chr1176594579176594580C>T1.1765945791765945800,0,011010.0125PAPPA260676Missense_MutationSNPCCTrs368485332by1000G;byCluster----89.982----36.8802267686--156.2femaleTCGA-UVMnot hispanic or latinoTCGA-YZ-A982-01A-11D-A39W-08TCGA-YZ-A982-10A-01D-A39Z-08cba920f4-c57f-47bc-958d-9b7872df01c8
chr1179587387179587388G>A1.1795873871795873880,0,011010.0125TDRD51635895'FlankSNPGGAnovel----------------femaleTCGA-UVMnot reportedTCGA-VD-A8K9-01A-11D-A39W-08TCGA-VD-A8K9-10A-01D-A39Z-08fa9089fa-9af9-4932-8ab7-0e7f2fd6b121
chr1183252619183252620T>C1.1832526191832526200,0,011010.0125NMNAT2230573'UTRSNPTTCrs752176689----------------maleTCGA-UVMnot reportedTCGA-VD-A8KO-01A-11D-A39W-08TCGA-VD-A8KO-10A-01D-A39Z-08014d4b17-d683-438b-9287-33fcec82bf5a

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.