Schema for TCGA Pan-Cancer - TCGA Pan-Cancer mutations: 33 TCGA Cancer Projects Summary (Pan-Can 33)
  Database: hg38    Primary Table: LGG Data last updated: 2019-05-03
Big Bed File Download: /gbdb/hg38/gdcCancer/LGG.bb
Item Count: 34,828
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.)
chromStart166070517Start position in chromosome
chromEnd166070518End position in chromosome
nameG>AName of item
score1Score from 0-1000
strand.+ or -
thickStart166070517Start of where display should be thick (start codon)
thickEnd166070518End 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
freq0.00196850393701Variant frequency
Hugo_SymbolFAM78BHugo symbol
Entrez_Gene_Id149297Entrez Gene Id
Variant_ClassificationMissense_MutationClass of variant
Variant_TypeSNPType of variant
Reference_AlleleGReference allele
Tumor_Seq_Allele1GTumor allele 1
Tumor_Seq_Allele2ATumor allele 2
dbSNP_RSrs759808562dbSNP RS number
dbSNP_Val_StatusdbSNP validation status
days_to_death--Number 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-LGGTCGA Project id
ethnicitynot hispanic or latinoEthnicity
Tumor_Sample_BarcodeTCGA-S9-A6WP-01A-12D-A34A-08Tumor sample barcode
Matched_Norm_Sample_BarcodeTCGA-S9-A6WP-10A-01D-A34A-08Matcheds normal sample barcode
case_id081b6532-0ed4-445a-becb-cb2290f4854dCase 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
chr1166070517166070518G>A1.1660705171660705180,0,011010.00196850393701FAM78B149297Missense_MutationSNPGGArs759808562----------------maleTCGA-LGGnot hispanic or latinoTCGA-S9-A6WP-01A-12D-A34A-08TCGA-S9-A6WP-10A-01D-A34A-08081b6532-0ed4-445a-becb-cb2290f4854d
chr1166862225166862226A>C1.1668622251668622260,0,011010.00196850393701TADA1117143Missense_MutationSNPAAC----------------maleTCGA-LGGnot reportedTCGA-HW-A5KM-01A-11D-A27K-08TCGA-HW-A5KM-10A-01D-A27N-080db80dff-5586-4d9f-b253-df82e6fd6901
chr1166989393166989394C>T1.1669893931669893940,0,011010.00196850393701MAEL84944SilentSNPCCT----------------femaleTCGA-LGGnot hispanic or latinoTCGA-DU-6392-01A-11D-1705-08TCGA-DU-6392-10A-01D-1705-08fcd9e1c4-bddb-4856-844c-03df48fba499
chr1167004292167004293A>G1.1670042921670042930,0,011010.00196850393701MAEL84944Missense_MutationSNPAAGnovel466.0--------------maleTCGA-LGGnot hispanic or latinoTCGA-E1-A7YS-01A-11D-A34A-08TCGA-E1-A7YS-10A-01D-A34A-085e2539e0-2088-43df-ad2a-f854d8bb6d30
chr1167017942167017943A>T1.1670179421670179430,0,011010.00196850393701MAEL84944Missense_MutationSNPAATnovel----------------maleTCGA-LGGnot hispanic or latinoTCGA-S9-A6TU-01A-12D-A32B-08TCGA-S9-A6TU-10A-01D-A329-08688fc346-a14d-4859-8727-057cd0a0b880
chr1167073494167073495C>T1.1670734941670734950,0,011010.00196850393701GPA3310223Missense_MutationSNPCCTrs749764347byFrequency814.0--------------maleTCGA-LGGnot hispanic or latinoTCGA-DU-A76L-01A-11D-A32B-08TCGA-DU-A76L-10A-01D-A329-08395798c5-3136-4a30-8557-a67a3abdecaf
chr1167125840167125841T>C1.1671258401671258410,0,011010.00196850393701DUSP2792235Missense_MutationSNPTTCnovel----------------femaleTCGA-LGGnot hispanic or latinoTCGA-QH-A65X-01A-11D-A32B-08TCGA-QH-A65X-10D-01D-A329-08451bad4f-6d72-4526-9978-38e090fc479f
chr1167127158167127159G>A1.1671271581671271590,0,011010.00196850393701DUSP2792235SilentSNPGGArs376593703byCluster;byFrequency----------------maleTCGA-LGGhispanic or latinoTCGA-HT-8109-01A-11D-2395-08TCGA-HT-8109-10A-01D-2396-08c7b2833a-9fe8-49f6-b888-2d27b0516f5c
chr1167128216167128217C>A1.1671282161671282170,0,011010.00196850393701DUSP2792235Missense_MutationSNPCCA----------------maleTCGA-LGGnot hispanic or latinoTCGA-DB-5275-01A-01D-1468-08TCGA-DB-5275-10A-01D-1468-08bbfb5399-8d43-4b75-bf90-23ec142697d7
chr1167128425167128426G>A1.1671284251671284260,0,011010.00196850393701DUSP2792235Missense_MutationSNPGGAnovel----------------maleTCGA-LGGnot hispanic or latinoTCGA-F6-A8O4-01A-11D-A36O-08TCGA-F6-A8O4-10A-01D-A367-08735b1100-07f6-43d4-b29c-46d0f025573f

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.