Schema for TCGA Pan-Cancer - TCGA Pan-Cancer mutations: 33 TCGA Cancer Projects Summary (Pan-Can 33)
  Database: hg38    Primary Table: LUSC Data last updated: 2019-05-03
Big Bed File Download: /gbdb/hg38/gdcCancer/LUSC.bb
Item Count: 180,177
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.)
chromStart166070199Start position in chromosome
chromEnd166070200End position in chromosome
nameT>CName of item
score1Score from 0-1000
strand.+ or -
thickStart166070199Start of where display should be thick (start codon)
thickEnd166070200End 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
freq0.0020325203252Variant 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_death1097.0Number of days till death
cigarettes_per_day1.3698630137Number of cigarettes per day
weight--Weight
alcohol_history--Any alcohol consumption?
alcohol_intensity--Frequency of alcohol consumption
bmi--Body mass index
years_smoked26.0Number of years smoked
height--Height
gendermaleGender
project_idTCGA-LUSCTCGA Project id
ethnicitynot reportedEthnicity
Tumor_Sample_BarcodeTCGA-18-3417-01A-01D-1441-08Tumor sample barcode
Matched_Norm_Sample_BarcodeTCGA-18-3417-11A-01D-1441-08Matcheds normal sample barcode
case_ide28cbc9a-aa60-4bfb-8d89-8c33ee97f560Case 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
chr1166070199166070200T>C1.1660701991660702000,0,011010.0020325203252FAM78B1492973'UTRSNPTTCnovel1097.01.3698630137--------26.0--maleTCGA-LUSCnot reportedTCGA-18-3417-01A-01D-1441-08TCGA-18-3417-11A-01D-1441-08e28cbc9a-aa60-4bfb-8d89-8c33ee97f560
chr1166070274166070275C>A1.1660702741660702750,0,011010.0020325203252FAM78B149297Missense_MutationSNPCCAnovel3253.04.35616438356--------54.0--maleTCGA-LUSCnot reportedTCGA-77-7337-01A-21D-2042-08TCGA-77-7337-11A-01D-2042-08cdab8ae1-d0e5-4a85-901e-2b05c63fa2b9
chr1166070505166070506A>G1.1660705051660705060,0,011010.0020325203252FAM78B149297Missense_MutationSNPAAGnovel--2.7397260274------------maleTCGA-LUSCnot hispanic or latinoTCGA-68-8250-01A-11D-2293-08TCGA-68-8250-10A-01D-2293-087b982d5e-3a7d-40ac-bd25-6044c62879b6
chr1166070582166070583C>A1.1660705821660705830,0,011010.0020325203252FAM78B149297Missense_MutationSNPCCAnovel--4.38356164384--------40.0--maleTCGA-LUSCnot reportedTCGA-NC-A5HG-01A-11D-A26M-08TCGA-NC-A5HG-10A-01D-A26K-08c179d6b1-6182-48b8-a376-3133e0dec278
chr1166070693166070694G>A1.1660706931660706940,0,011010.0020325203252FAM78B149297SilentSNPGGA--2.19178082192--------40.0--femaleTCGA-LUSCnot reportedTCGA-66-2763-01A-01D-1522-08TCGA-66-2763-11A-01D-1522-081e3eb77c-d85b-437e-8b8c-12e5bd0e93dc
chr1166166043166166044C>A1.1661660431661660440,0,011010.0020325203252FAM78B149297Missense_MutationSNPCCAnovel--2.46575342466------------femaleTCGA-LUSCnot hispanic or latinoTCGA-39-5011-01A-01D-1441-08TCGA-39-5011-11A-01D-1441-085845fe49-f2cc-436b-9ec8-65e775eae111
chr1166846663166846664A>T1.1668466631668466640,0,011010.0020325203252POGK57645Missense_MutationSNPAATnovel708.02.79452054795--------51.0--maleTCGA-LUSCnot reportedTCGA-77-6845-01A-11D-1945-08TCGA-77-6845-10A-01D-1945-08f74b6db3-62af-4158-9310-a29b1180e469
chr1166849047166849048G>T1.1668490471668490480,0,011010.0020325203252POGK57645Missense_MutationSNPGGT358.02.30136986301--------42.0--maleTCGA-LUSCnot hispanic or latinoTCGA-60-2726-01A-01D-1522-08TCGA-60-2726-11A-01D-1522-083d1f4059-2220-45b4-a4d2-b14f76cec96a
chr1166849196166849197G>T1.1668491961668491970,0,011010.0020325203252POGK57645SilentSNPGGTnovel--0.602739726027--------41.0--maleTCGA-LUSCnot reportedTCGA-77-A5GH-01A-11D-A27K-08TCGA-77-A5GH-10A-01D-A27N-08a2cd5b01-a1f6-46d0-9f05-9dc3df9019f7
chr1166849388166849389C>G1.1668493881668493890,0,011010.0020325203252POGK57645SilentSNPCCG1841.03.28767123288--------51.0--femaleTCGA-LUSCnot reportedTCGA-39-5031-01A-01D-1441-08TCGA-39-5031-11A-01D-1441-089f20b4bc-ee09-42ef-9392-68054a7a2cfe

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.