Schema for TCGA Pan-Cancer - TCGA Pan-Cancer mutations: 33 TCGA Cancer Projects Summary (Pan-Can 33)
  Database: hg38    Primary Table: LAML Data last updated: 2019-05-03
Big Bed File Download: /gbdb/hg38/gdcCancer/LAML.bb
Item Count: 9,821
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.)
chromStart166070393Start position in chromosome
chromEnd166070394End position in chromosome
nameC>TName of item
score1Score from 0-1000
strand.+ or -
thickStart166070393Start of where display should be thick (start codon)
thickEnd166070394End 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
freq0.00699300699301Variant frequency
Hugo_SymbolFAM78BHugo symbol
Entrez_Gene_Id149297Entrez Gene Id
Variant_ClassificationSilentClass of variant
Variant_TypeSNPType of variant
Reference_AlleleCReference allele
Tumor_Seq_Allele1CTumor allele 1
Tumor_Seq_Allele2TTumor allele 2
dbSNP_RSnoveldbSNP RS number
dbSNP_Val_StatusdbSNP validation status
days_to_death945.0Number 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-LAMLTCGA Project id
ethnicitynot hispanic or latinoEthnicity
Tumor_Sample_BarcodeTCGA-AB-2806-03B-01W-0728-08Tumor sample barcode
Matched_Norm_Sample_BarcodeTCGA-AB-2806-11B-01W-0728-08Matcheds normal sample barcode
case_ide78ff499-037b-450a-ac04-6fb3a9e124a4Case 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
chr1166070393166070394C>T1.1660703931660703940,0,011010.00699300699301FAM78B149297SilentSNPCCTnovel945.0--------------maleTCGA-LAMLnot hispanic or latinoTCGA-AB-2806-03B-01W-0728-08TCGA-AB-2806-11B-01W-0728-08e78ff499-037b-450a-ac04-6fb3a9e124a4
chr1166922646166922647C>T1.1669226461669226470,0,011010.00699300699301ILDR2387597Missense_MutationSNPCCTrs201864196byCluster;byFrequency----------------maleTCGA-LAMLnot hispanic or latinoTCGA-AB-2808-03B-01W-0728-08TCGA-AB-2808-11B-01W-0728-08eefba73e-bf2c-4cac-bd29-8ab3d392aa5b
chr1166992775166992776T>C1.1669927751669927760,0,011010.00699300699301MAEL84944Missense_MutationSNPTTC----------------maleTCGA-LAMLnot hispanic or latinoTCGA-AB-2939-03A-01W-0745-08TCGA-AB-2939-11A-01W-0745-08c7afc0d0-ca32-4be1-9477-ad106290c460
chr1166992777166992778G>A1.1669927771669927780,0,011010.00699300699301MAEL84944Missense_MutationSNPGGAnovel----------------maleTCGA-LAMLnot hispanic or latinoTCGA-AB-2828-03B-01W-0728-08TCGA-AB-2828-11B-01W-0728-08fc4ae4f8-f66b-4137-9821-e579b339cbf6
chr1167090339167090340C>T1.1670903391670903400,0,011010.00699300699301GPA33102235'UTRSNPCCTnovel945.0--------------maleTCGA-LAMLnot hispanic or latinoTCGA-AB-2806-03B-01W-0728-08TCGA-AB-2806-11B-01W-0728-08e78ff499-037b-450a-ac04-6fb3a9e124a4
chr1167125962167125963T>C1.1671259621671259630,0,011010.00699300699301DUSP2792235SilentSNPTTCnovel----------------maleTCGA-LAMLnot hispanic or latinoTCGA-AB-2828-03B-01W-0728-08TCGA-AB-2828-11B-01W-0728-08fc4ae4f8-f66b-4137-9821-e579b339cbf6
chr1167128506167128507A>T1.1671285061671285070,0,011010.00699300699301DUSP2792235Missense_MutationSNPAATnovel----------------maleTCGA-LAMLnot hispanic or latinoTCGA-AB-2808-03B-01W-0728-08TCGA-AB-2808-11B-01W-0728-08eefba73e-bf2c-4cac-bd29-8ab3d392aa5b
chr1167415837167415839insT1.1674158371674158390,0,012010.00699300699301POU2F154513'UTRINS--Tnovel----------------maleTCGA-LAMLnot hispanic or latinoTCGA-AB-2808-03B-01W-0728-08TCGA-AB-2808-11B-01W-0728-08eefba73e-bf2c-4cac-bd29-8ab3d392aa5b
chr1167773324167773325G>A1.1677733241677733250,0,011010.00699300699301MPZL19019Missense_MutationSNPGGAnovel----------------maleTCGA-LAMLnot hispanic or latinoTCGA-AB-2828-03B-01W-0728-08TCGA-AB-2828-11B-01W-0728-08fc4ae4f8-f66b-4137-9821-e579b339cbf6
chr1167845803167845804C>T1.1678458031678458040,0,011010.00699300699301ADCY1055811SilentSNPCCTrs545746710by1000G;byFrequency153.0--------------femaleTCGA-LAMLnot hispanic or latinoTCGA-AB-2895-03A-01W-0733-08TCGA-AB-2895-11A-01W-0732-08137dfe0a-2a2b-423c-9a8a-78233b6ead74

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.