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Output files

PCGR generates multiple output files, including interactive HTML reports and pure variant annotation files (tab-separated values (TSV)).

HTML report - dashboard

An interactive and tier-structured HTML report (dashboard-like) that shows the most relevant findings in the query cancer genome has the following naming convention:

  • <sample_id>.pcgr_acmg.<genome_assembly>.flexdb.html
    • The sample_id is provided as input by the user, and reflects a unique identifier of the tumor-normal sample pair to be analyzed.

HTML report - rmarkdown

An interactive and tier-structured HTML report that shows the most relevant findings in the query cancer genome has the following naming convention:

  • <sample_id>.pcgr_acmg.<genome_assembly>.html
    • The sample_id is provided as input by the user, and reflects a unique identifier of the tumor-normal sample pair to be analyzed.

The report is structured in seven main sections, described in more detail below:

  1. Report and query settings
    • Lists key configurations provided by user
  2. Main results
    • Nine value boxes that highlight the main properties of the tumor sample:
      1. Tumor purity - as provided by the user
      2. Tumor ploidy - as provided by the user
      3. Mutational signatures - two most prevalent signatures (other than aging)
      4. Tier 1 variants (top four)
      5. Tier 2 variants (top four)
      6. Tumor mutational burden (TMB)
      7. Microsatellite instability (MSI) status
      8. Somatic copy number aberrations of clinical significance
      9. Kataegis events
  3. Somatic SNVs/InDels
    • Tumor mutational burden (TMB)
      • given a coding target region size specified by the user (ideally the callable target size), an estimate of the mutational burden is provided
      • The estimated TMB is shown in the context of TMB distributions from different primary sites in TCGA
    • Tier & variant statistics
      • indicate total variant numbers across variant types, coding types and tiers
    • Global distribution - allelic support
      • distribution (histogram) of variant allelic support for somatic variants (will only be present in the report if specific fields in input VCF is defined and specified by the user)
    • Global variant browser
      • permits exploration of the whole SNV/InDel dataset by filtering along several dimensions (call confidence, variant sequencing depth/support, variant consequence etc.)
    • Tier tables
      • Variants are organized into five (tier 1-4 + noncoding) interactive datatables) according to clinical utility
      • Contents of the tier tables are outlined below
  4. Somatic CNAs
    • Segments - amplifications and homozygous deletions
      • Based on user-defined/default log-ratio thresholds of gains/losses, the whole CNA dataset can be navigated further through filters:
      • cytoband
      • type of CNA event - focal (less than 25% of chromosome arm affected) or broad
      • log ratio
    • Proto-oncogenes subject to copy number amplifications
      • Datatable listing known proto-oncogenes covered by user-defined/default amplifications and potential targeted therapies
    • Tumor suppressor genes subject to homozygous deletions
      • Datatable listing known tumor suppressor genes covered by user-defined/default losses and potential targeted therapies
    • Other drug targets subject to copy number aplifications
    • Copy number aberrations as biomarkers for prognosis, diagnosis, and drug response (both of strong significance and potential significance)
      • Interactive data table where the user can navigate aberrations acting as biomarkers across therapeutic contexts, tumor subtypes, evidence levels etc
  5. MSI status
    • Indicates predicted microsatellite stability from the somatic mutation profile and supporting evidence (details of the underlying MSI statistical classifier can be found here)
    • The MSI classifier was trained on TCGA exome samples.
  6. Mutational signatures
  7. Kataegis events
    • Detection of potential kataegis events using the algorithm outlined in the Kataegis Portal
  8. Germline findings
    • Main findings from CPSR report
  9. Clinial trials
    • Interactive table with annotated, molecularly targeted clinical trials from clinicaltrials.gov in the relevant tumor type
  10. Documentation
    • Annotation resources - software, databases and tools with version information
    • Report content
    • References - supporting scientific literature (key report elements)

Interactive datatables

The interactive datatables contain a number of hyperlinked annotations similar to those defined for the annotated VCF file, including the following:

Annotation Description
SYMBOL Gene symbol (Entrez/NCBI)
PROTEIN_CHANGE Amino acid change (VEP)
CANCER_TYPE Biomarker (tier 1/2): associated cancer type
EVIDENCE_LEVEL Biomarker (tier 1/2): evidence level (A,B,C,D,E)
CLINICAL_SIGNIFICANCE Biomarker (tier 1/2): drug sensitivity, poor/better outcome etc
EVIDENCE_TYPE Biomarker (tier 1/2): predictive/diagnostic/therapeutic
DISEASE_ONTOLOGY_ID Biomarker (tier 1/2): associated cancer type (Disease Ontology)
EVIDENCE_DIRECTION Biomarker (tier 1/2): supports/does not support
DESCRIPTION Biomarker (tier 1/2): description
VARIANT_ORIGIN Biomarker (tier 1/2): variant origin (germline/somatic)
BIOMARKER_MAPPING Biomarker (tier 1/2): accuracy of genomic mapping (exact,codon,exon)
CITATIO Biomarker (tier 1/2): supporting literature
THERAPEUTIC_CONTEXT Biomarker (tier 1/2): associated drugs
RATING Biomarker (tier 1/2): trust rating from 1 to 5 (CIVIC)
GENE_NAME gene name description (Entrez/NCBI)
PROTEIN_DOMAIN PFAM protein domain
PROTEIN_FEATURE UniProt feature overlapping variant site
CDS_CHANGE Coding sequence change
MUTATION_HOTSPOT Known cancer mutation hotspot
MUTATION_HOTSPOT_CANCERTYPE Hotspot-associated cancer types
TCGA_FREQUENCY Frequency of variant in TCGA cohorts
ICGC_PCAWG_OCCURRENCE Frequency of variant in ICGC-PCAWG cohorts
DOCM_LITERATURE Literature links - DoCM
DOCM_DISEASE Associated diseases - DoCM
OPENTARGETS_RANK Strength (max across all phenotypes) of phenotype association according to the Open Targets Platform
OPENTARGETS_ASSOCIATIONS Phenotype associations with the gene retrieved from the Open Targets Platform
INTOGEN_DRIVER_MUT predicted driver mutation - IntOGen
CONSEQUENCE VEP consequence (primary transcript)
HGVSc from VEP
HGVSp from VEP
NCBI_REFSEQ Transcript accession ID(s) (NCBI RefSeq)
ONCOGENE Predicted as proto-oncogene from CancerMine/NCG
CANCERGENE_SUPPORT Links to underlying publications (CancerMine) that support oncogenic/tumor suppressive role of gene
TUMOR_SUPPRESSOR Predicted as tumor suppressor gene from CancerMine/NCG
PREDICTED_EFFECT Effect predictions from dbNSFP
VEP_ALL_CSQ All VEP transcript block consequences
DBSNP dbSNP rsID
COSMIC Cosmic mutation IDs
CLINVAR ClinVar variant origin and associated phenotypes
CANCER_ASSOCIATIONS Gene-associated cancer types from DisGenet
TARGETED_DRUGS Targeted drugs from Open Targets Platform /ChEMBL
KEGG_PATHWAY Gene-associated pathways from KEGG
CALL_CONFIDENCE Variant confidence (as set by user in input VCF)
DP_TUMOR Variant sequencing depth in tumor (as set by user in input VCF)
AF_TUMOR Variant allelic fraction in tumor (as set by user in input VCF)
DP_CONTROL Variant sequencing depth in control sample (as set by user in input VCF)
AF_CONTROL Variant allelic fraction in control sample (as set by user in input VCF)
GENOMIC_CHANGE Variant ID
GENOME_VERSION Genome assembly

Example reports

DOI

The HTML reports have been tested using the following browsers:

  • Safari (Version 14.1.1 (16611.2.7.1.4))
  • Mozilla Firefox (83.0)
  • Google Chrome (Version 90.0.4430.212 (Official Build) (x86_64))

JSON

A compressed JSON file that stores all the essential content of the report is provided.

This file will easen the process of extracting particular parts of the report for further analysis or integration with other workflows. The JSON contains two main objects, metadata and content, where the former contains information about the settings, data versions, and the latter contains the various sections of the report.

SNVs/InDels

1. Variant call format - VCF

A VCF file containing annotated, somatic calls (single nucleotide variants and insertion/deletions) is generated with the following naming convention:

  • <sample_id>.pcgr_acmg.<genome_assembly>.vcf.gz
    • The sample_id is provided as input by the user, and reflects a unique identifier of the tumor-normal sample pair to be analyzed. Following common standards, the annotated VCF file is compressed with bgzip and indexed with tabix. Below follows a description of all annotations/tags present in the VCF INFO column after processing with the PCGR annotation pipeline:
VEP consequence annotations
Tag Description
CSQ Complete consequence annotations from VEP. Format (separated by a |): Allele, Consequence, IMPACT, SYMBOL, Gene, Feature_type, Feature, BIOTYPE, EXON, INTRON, HGVSc, HGVSp, cDNA_position, CDS_position, Protein_position, Amino_acids, Codons, Existing_variation, ALLELE_NUM, DISTANCE, STRAND, FLAGS, PICK, VARIANT_CLASS, SYMBOL_SOURCE, HGNC_ID, CANONICAL, MANE_SELECT, MANE_PLUS_CLINICAL, TSL, APPRIS, CCDS, ENSP, SWISSPROT, TREMBL, UNIPARC, UNIPROT_ISOFORM, RefSeq, DOMAINS, HGVS_OFFSET, AF, AFR_AF, AMR_AF, EAS_AF, EUR_AF, SAS_AF, gnomAD_AF, gnomAD_AFR_AF, gnomAD_AMR_AF, gnomAD_ASJ_AF, gnomAD_EAS_AF, gnomAD_FIN_AF, gnomAD_NFE_AF, gnomAD_OTH_AF, gnomAD_SAS_AF, CLIN_SIG, SOMATIC, PHENO, CHECK_REF, MOTIF_NAME, MOTIF_POS, HIGH_INF_POS, MOTIF_SCORE_CHANGE, TRANSCRIPTION_FACTORS, NearestExonJB
Consequence Impact modifier for the consequence type (picked by VEP’s --flag_pick_allele option)
Gene Ensembl stable ID of affected gene (picked by VEP’s --flag_pick_allele option)
Feature_type Type of feature. Currently one of Transcript, RegulatoryFeature, MotifFeature (picked by VEP’s --flag_pick_allele option)
Feature Ensembl stable ID of feature (picked by VEP’s --flag_pick_allele option)
cDNA_position Relative position of base pair in cDNA sequence (picked by VEP’s --flag_pick_allele option)
CDS_position Relative position of base pair in coding sequence (picked by VEP’s --flag_pick_allele option)
CDS_CHANGE Coding, transcript-specific sequence annotation (picked by VEP’s --flag_pick_allele option)
AMINO_ACID_START Protein position indicating absolute start of amino acid altered (fetched from Protein_position)
AMINO_ACID_END Protein position indicating absolute end of amino acid altered (fetched from Protein_position)
Protein_position Relative position of amino acid in protein (picked by VEP’s --flag_pick_allele option)
Amino_acids Only given if the variant affects the protein-coding sequence (picked by VEP’s --flag_pick_allele option)
Codons The alternative codons with the variant base in upper case (picked by VEP’s --flag_pick_allele option)
IMPACT Impact modifier for the consequence type (picked by VEP’s --flag_pick_allele option)
VARIANT_CLASS Sequence Ontology variant class (picked by VEP’s --flag_pick_allele option)
SYMBOL Gene symbol (picked by VEP’s --flag_pick_allele option)
SYMBOL_ENTREZ Official gene symbol as provided by NCBI’s Entrez gene
SYMBOL_SOURCE The source of the gene symbol (picked by VEP’s --flag_pick_allele option)
STRAND The DNA strand (1 or -1) on which the transcript/feature lies (picked by VEP’s --flag_pick_allele option)
ENSP The Ensembl protein identifier of the affected transcript (picked by VEP’s --flag_pick_allele option)
FLAGS Transcript quality flags: cds_start_NF: CDS 5’, incomplete cds_end_NF: CDS 3’ incomplete (picked by VEP’s --flag_pick_allele option)
SWISSPROT Best match UniProtKB/Swiss-Prot accession of protein product (picked by VEP’s --flag_pick_allele option)
TREMBL Best match UniProtKB/TrEMBL accession of protein product (picked by VEP’s --flag_pick_allele option)
UNIPARC Best match UniParc accession of protein product (picked by VEP’s --flag_pick_allele option)
HGVSc The HGVS coding sequence name (picked by VEP’s --flag_pick_allele option)
HGVSp The HGVS protein sequence name (picked by VEP’s --flag_pick_allele option)
HGVSp_short The HGVS protein sequence name, short version (picked by VEP’s --flag_pick_allele option)
HGVS_OFFSET Indicates by how many bases the HGVS notations for this variant have been shifted (picked by VEP’s --flag_pick_allele option)
NearestExonJB VEP plugin that finds nearest exon junction for a coding sequence variant. Format: Ensembl exon identifier+distanceto exon boundary+boundary type(start/end)+exon length
MOTIF_NAME The source and identifier of a transcription factor binding profile aligned at this position (picked by VEP’s --flag_pick_allele option)
MOTIF_POS The relative position of the variation in the aligned TFBP (picked by VEP’s --flag_pick_allele option)
HIGH_INF_POS A flag indicating if the variant falls in a high information position of a transcription factor binding profile (TFBP) (picked by VEP’s --flag_pick_allele option)
MOTIF_SCORE_CHANGE The difference in motif score of the reference and variant sequences for the TFBP (picked by VEP’s --flag_pick_allele option)
CELL_TYPE List of cell types and classifications for regulatory feature (picked by VEP’s --flag_pick_allele option)
CANONICAL A flag indicating if the transcript is denoted as the canonical transcript for this gene (picked by VEP’s --flag_pick_allele option)
CCDS The CCDS identifier for this transcript, where applicable (picked by VEP’s --flag_pick_allele option)
INTRON The intron number (out of total number) (picked by VEP’s --flag_pick_allele option)
EXON The exon number (out of total number) (picked by VEP’s --flag_pick_allele option)
LAST_EXON Logical indicator for last exon of transcript (picked by VEP’s --flag_pick_allele option)
LAST_INTRON Logical indicator for last intron of transcript (picked by VEP’s --flag_pick_allele option)
INTRON_POSITION Relative position of intron variant to nearest exon/intron junction (NearestExonJB VEP plugin)
EXON_POSITION Relative position of exon variant to nearest intron/exon junction (NearestExonJB VEP plugin)
DISTANCE Shortest distance from variant to transcript (picked by VEP’s --flag_pick_allele option)
BIOTYPE Biotype of transcript or regulatory feature (picked by VEP’s --flag_pick_allele option)
TSL Transcript support level (picked by VEP’s --flag_pick_allele option)>
PUBMED PubMed ID(s) of publications that cite existing variant - VEP
PHENO Indicates if existing variant is associated with a phenotype, disease or trait - VEP
GENE_PHENO Indicates if overlapped gene is associated with a phenotype, disease or trait - VEP
ALLELE_NUM Allele number from input; 0 is reference, 1 is first alternate etc - VEP
REFSEQ_MATCH The RefSeq transcript match status; contains a number of flags indicating whether this RefSeq transcript matches the underlying reference sequence and/or an Ensembl transcript (picked by VEP’s --flag_pick_allele option)
PICK Indicates if this block of consequence data was picked by VEP’s --flag_pick_allele option
VEP_ALL_CONSEQUENCE All transcript consequences (Consequence:SYMBOL:Feature_type:Feature:BIOTYPE) - VEP
EXONIC_STATUS Indicates if variant consequence type is ‘exonic’ or ‘nonexonic’. We here define ‘exonic’ as any variant with either of the following consequences: stop_gained / stop_lost, start_lost, frameshift_variant, missense_variant, splice_donor_variant, splice_acceptor_variant, inframe_insertion / inframe_deletion, synonymous_variant, protein_altering
CODING_STATUS Indicates if primary variant consequence type is ‘coding’ or ‘noncoding’ (wrt. protein-alteration). ‘coding’ variants are here defined as those with an ‘exonic’ status, with the exception of synonymous variants
Gene information
Tag Description
ENTREZ_ID Entrez gene identifier
APPRIS Principal isoform flags according to the APPRIS principal isoform database
MANE_SELECT Indicating if the transcript is the MANE Select or MANE Plus Clinical transcript for the gene (picked by VEP’s --flag_pick_allele_gene option)
UNIPROT_ID UniProt identifier
UNIPROT_ACC UniProt accession(s)
ENSEMBL_GENE_ID Ensembl gene identifier for VEP’s picked transcript (ENSGXXXXXXX)
ENSEMBL_TRANSCRIPT_ID Ensembl transcript identifier for VEP’s picked transcript (ENSTXXXXXX)
ENSEMBL_PROTEIN_ID Ensembl corresponding protein identifier for VEP’s picked transcript
REFSEQ_MRNA Corresponding RefSeq transcript(s) identifier for VEP’s picked transcript (NM_XXXXX)
TRANSCRIPT_MANE_SELECT MANE select transcript identifer: one high-quality representative transcript per protein-coding gene that is well-supported by experimental data and represents the biology of the gene
TRANSCRIPT_MANE_PLUS_CLINICAL transcripts chosen to supplement MANE Select when needed for clinical variant reporting
GENCODE_TAG tag for gencode transcript (basic etc)
GENCODE_TRANSCRIPT_TYPE type of transcript (protein-coding etc.)
CORUM_ID Associated protein complexes (identifiers) from CORUM
TUMOR_SUPPRESSOR Indicates whether gene is predicted as a tumor suppressor gene, from Network of Cancer Genes (NCG) & the CancerMine text-mining resource
TUMOR_SUPPRESSOR_EVIDENCE Underlying evidence for gene being a tumor suppressor. Format: NCG:<TRUE|FALSE>&CancerMine:<LC|MC|HC>:num_citations
ONCOGENE Indicates whether gene is predicted as an oncogene, from Network of Cancer Genes (NCG) & the CancerMine text-mining resource
ONCOGENE_EVIDENCE Underlying evidence for gene being an oncogene. Format: NCG:<TRUE|FALSE>&CancerMine:<LC|MC|HC>:num_citations
INTOGEN_DRIVER Gene is predicted as a cancer driver in the IntoGen Cancer Drivers Database
TCGA_DRIVER Gene is predicted as a cancer driver in the TCGA pan-cancer analysis of cancer driver genes and mutations
PROB_EXAC_LOF_INTOLERANT dbNSFP_gene: the probability of being loss-of-function intolerant (intolerant of both heterozygous and homozygous lof variants) based on ExAC r0.3 data
PROB_EXAC_LOF_INTOLERANT_HOM dbNSFP_gene: the probability of being intolerant of homozygous, but not heterozygous lof variants based on ExAC r0.3 data
PROB_EXAC_LOF_TOLERANT_NULL dbNSFP_gene: the probability of being tolerant of both heterozygous and homozygous lof variants based on ExAC r0.3 data
PROB_EXAC_NONTCGA_LOF_INTOLERANT dbNSFP_gene: the probability of being loss-of-function intolerant (intolerant of both heterozygous and homozygous lof variants) based on ExAC r0.3 nonTCGA subset
PROB_EXAC_NONTCGA_LOF_INTOLERANT_HOM dbNSFP_gene: the probability of being intolerant of homozygous, but not heterozygous lof variants based on ExAC r0.3 nonTCGA subset
PROB_EXAC_NONTCGA_LOF_TOLERANT_NULL dbNSFP_gene: the probability of being tolerant of both heterozygous and homozygous lof variants based on ExAC r0.3 nonTCGA subset
PROB_GNOMAD_LOF_INTOLERANT dbNSFP_gene: the probability of being loss-of-function intolerant (intolerant of both heterozygous and homozygous lof variants based on gnomAD 2.1 data
PROB_GNOMAD_LOF_INTOLERANT_HOM dbNSFP_gene: the probability of being intolerant of homozygous, but not heterozygous lof variants based on gnomAD 2.1 data
PROB_GNOMAD_LOF_TOLERANT_NULL dbNSFP_gene: the probability of being tolerant of both heterozygous and homozygous lof variants based on gnomAD 2.1 data
PROB_HAPLOINSUFFICIENCY dbNSFP_gene: Estimated probability of haploinsufficiency of the gene (from http://dx.doi.org/10.1371/journal.pgen.1001154)
ESSENTIAL_GENE_CRISPR dbNSFP_gene: Essential (E) or Non-essential phenotype-changing (N) based on large scale CRISPR experiments. from http://dx.doi.org/10.1126/science.aac7041
ESSENTIAL_GENE_CRISPR2 dbNSFP_gene: Essential (E), context-Specific essential (S), or Non-essential phenotype-changing (N) based on large scale CRISPR experiments. from http://dx.doi.org/10.1016/j.cell.2015.11.015
Variant effect and protein-coding information
Tag Description
MUTATION_HOTSPOT mutation hotspot codon in cancerhotspots.org. Format: gene_symbol | codon | q-value
MUTATION_HOTSPOT_TRANSCRIPT hotspot-associated transcripts (Ensembl transcript ID)
MUTATION_HOTSPOT_CANCERTYPE hotspot-associated cancer types (from cancerhotspots.org)
UNIPROT_FEATURE Overlapping protein annotations from UniProt KB
PFAM_DOMAIN Pfam domain identifier (from VEP)
INTOGEN_DRIVER_MUT Indicates if existing variant is predicted as driver mutation from IntoGen Catalog of Driver Mutations
PUTATIVE_DRIVER_MUTATION Variant is predicted as driver mutation in the TCGA pan-cancer analysis of cancer driver genes and mutations
EFFECT_PREDICTIONS All predictions of effect of variant on protein function and pre-mRNA splicing from database of non-synonymous functional predictions - dbNSFP v4.2. Predicted effects are provided by different sources/algorithms (separated by &), T = Tolerated, N = Neutral, D = Damaging: 1.SIFT, 2.MutationTaster (data release Nov 2015), 3.MutationAssessor (release 3), 4.FATHMM (v2.3), 5.PROVEAN (v1.1 Jan 2015), 6.FATHMM_MKL, 7.PRIMATEAI, 8.DEOGEN2, 9.DBNSFP_CONSENSUS_RNN (Ensembl/consensus prediction, based on deep learning), 10.SPLICE_SITE_EFFECT_ADA (Ensembl/consensus prediction of splice-altering SNVs, based on adaptive boosting), 11.SPLICE_SITE_EFFECT_RF (Ensembl/consensus prediction of splice-altering SNVs, based on random forest), 12.M-CAP, 13.MutPred, 14.GERP, 15.BayesDel, 16.LIST-S2, 17.ALoFT
DBNSFP_BAYESDEL_ADDAF predicted effect from BayesDel (dbNSFP)
DBNSFP_LIST_S2 predicted effect from LIST-S2 (dbNSFP)
DBNSFP_SIFT predicted effect from SIFT (dbNSFP)
DBNSFP_PROVEAN predicted effect from PROVEAN (dbNSFP)
DBNSFP_MUTATIONTASTER predicted effect from MUTATIONTASTER (dbNSFP)
DBNSFP_MUTATIONASSESSOR predicted effect from MUTATIONASSESSOR (dbNSFP)
DBNSFP_M_CAP predicted effect from M-CAP (dbNSFP)
DBNSFP_ALOFTPRED predicted effect from ALoFT (dbNSFP)
DBNSFP_MUTPRED score from MUTPRED (dbNSFP)
DBNSFP_FATHMM predicted effect from FATHMM (dbNSFP)
DBNSFP_PRIMATEAI predicted effect from PRIMATEAI (dbNSFP)
DBNSFP_DEOGEN2 predicted effect from DEOGEN2 (dbNSFP)
DBNSFP_GERP evolutionary constraint measure from GERP (dbNSFP)
DBNSFP_FATHMM_MKL predicted effect from FATHMM-mkl (dbNSFP)
DBNSFP_META_RNN predicted effect from ensemble prediction (deep learning - dbNSFP)
DBNSFP_SPLICE_SITE_RF predicted effect of splice site disruption, using random forest (dbscSNV)
DBNSFP_SPLICE_SITE_ADA predicted effect of splice site disruption, using boosting (dbscSNV)
Variant frequencies/annotations in germline/somatic databases
Tag Description
AFR_AF_GNOMAD African/American germline allele frequency (gnomAD release 2)
AMR_AF_GNOMAD American germline allele frequency (gnomAD release 2)
GLOBAL_AF_GNOMAD Adjusted global germline allele frequency (gnomAD release 2)
SAS_AF_GNOMAD South Asian germline allele frequency (gnomAD release 2)
EAS_AF_GNOMAD East Asian germline allele frequency (gnomAD release 2)
FIN_AF_GNOMAD Finnish germline allele frequency (gnomAD release 2)
NFE_AF_GNOMAD Non-Finnish European germline allele frequency (gnomAD release 2)
OTH_AF_GNOMAD Other germline allele frequency (gnomAD release 2)
ASJ_AF_GNOMAD Ashkenazi Jewish allele frequency (gnomAD release 2)
AFR_AF_1KG 1000G Project - phase 3 germline allele frequency for samples from AFR (African)
AMR_AF_1KG 1000G Project - phase 3 germline allele frequency for samples from AMR (Ad Mixed American)
EAS_AF_1KG 1000G Project - phase 3 germline allele frequency for samples from EAS (East Asian)
EUR_AF_1KG 1000G Project - phase 3 germline allele frequency for samples from EUR (European)
SAS_AF_1KG 1000G Project - phase 3 germline allele frequency for samples from SAS (South Asian)
GLOBAL_AF_1KG 1000G Project - phase 3 germline allele frequency for all 1000G project samples (global)
DBSNPRSID dbSNP reference ID, as provided by VEP
COSMIC_MUTATION_ID Mutation identifier in Catalog of somatic mutations in cancer database, as provided by VEP
TCGA_PANCANCER_COUNT Raw variant count across all TCGA tumor types
TCGA_FREQUENCY Frequency of variant across TCGA tumor types. Format: tumortype| percent affected|affected cases|total cases
ICGC_PCAWG_OCCURRENCE Mutation occurrence in [ICGC
ICGC_PCAWG_AFFECTED_DONORS Number of donors with the current mutation in [ICGC
Clinical associations
Tag Description
CLINVAR_MSID ClinVar Measure Set/Variant ID
CLINVAR_ALLELE_ID ClinVar allele ID
CLINVAR_PMID Associated Pubmed IDs for variant in ClinVar - germline state-of-origin
CLINVAR_HGVSP Protein variant expression using HGVS nomenclature
CLINVAR_PMID_SOMATIC Associated Pubmed IDs for variant in ClinVar - somatic state-of-origin
CLINVAR_CLNSIG Clinical significance for variant in ClinVar - germline state-of-origin
CLINVAR_CLNSIG_SOMATIC Clinical significance for variant in ClinVar - somatic state-of-origin
CLINVAR_MEDGEN_CUI Associated MedGen concept identifiers (CUIs) - germline state-of-origin
CLINVAR_MEDGEN_CUI_SOMATIC Associated MedGen concept identifiers (CUIs) - somatic state-of-origin
CLINVAR_VARIANT_ORIGIN Origin of variant (somatic, germline, de novo etc.) for variant in ClinVar
CLINVAR_REVIEW_STATUS_STARS Rating of the ClinVar variant (0-4 stars) with respect to level of review
DOCM_PMID Associated Pubmed IDs for variant in Database of Curated Mutations
OPENTARGETS_DISEASE_ASSOCS Associations between protein targets and disease based on multiple lines of evidence (mutations, affected pathways, GWAS, literature etc). Format: CUI:EFO_ID:IS_DIRECT:OVERALL_SCORE
OPENTARGETS_TRACTABILITY_COMPOUND Confidence for the existence of a modulator (small molecule) that interacts with the target to elicit a desired biological effect
OPENTARGETS_TRACTABILITY_ANTIBODY Confidence for the existence of a modulator (antibody) that interacts with the target to elicit a desired biological effect
Other
Tag Description
CHEMBL_COMPOUND_ID antineoplastic drugs targeting the encoded protein (from Open Targets Platform, drugs are listed as ChEMBL compound identifiers)
CIVIC_ID, CIVIC_ID_SEGMENT Variant/segment (exon, codon) identifiers in the CIViC database
CGI_ID, CGI_ID_SEGMENT Variant/segment (exon, codon) identifier in the Cancer Genome Interpreter Cancer Biomarkers Database

2. Tab-separated values (TSV)

We provide a tab-separated values file with most important annotations for SNVs/InDels. The file has the following naming convention:

  • <sample_id>.pcgr_acmg.<genome_assembly>.snvs_indels.tiers.tsv

The SNVs/InDels are organized into different tiers (as defined above for the HTML report)

The following variables are included in the tiered TSV file (VCF tags issued by the user (--preserved_info_tags) will be appended at the end):

Variable Description
1. CHROM Chromosome
2. POS Position (VCF-based)
3. REF Reference allele
4. ALT Alternate allele
5. GENOMIC_CHANGE Identifier for variant at the genome (VCF) level, e.g. 1:g.152382569A>G. Format: <chrom>:g.<position><ref_allele><alt_allele>
6. GENOME_VERSION Assembly version, e.g. GRCh37
7. VCF_SAMPLE_ID Sample identifier
8. VARIANT_CLASS Variant type, e.g. SNV/insertion/deletion
9. SYMBOL Gene symbol
10. GENE_NAME Gene description
11. CCDS CCDS identifier
12. CANONICAL indication of canonical transcript
13. ENTREZ_ID Entrez gene identifier
14. UNIPROT_ID UniProt protein identifier
15. ENSEMBL_TRANSCRIPT_ID Ensembl transcript identifier
16. ENSEMBL_GENE_ID Ensembl gene identifier
17. REFSEQ_MRNA RefSeq mRNA identifier
18. REFSEQ_PEPTIDE RefSeq peptide identifier
19. TRANSCRIPT_MANE_SELECT MANE select transcript identifier
20. ONCOGENE Gene is predicted/classified as an oncogene (CancerMine/NCG)
21. ONCOGENE_EVIDENCE Underlying evidence for oncogene prediction/classification
22. TUMOR_SUPPRESSOR Gene is predicted/classified as tumor suppressor (CancerMine/NCG)
23. TUMOR_SUPPRESSOR_EVIDENCE Underlying evidence for tumor suppressor prediction/classification
24. CONSEQUENCE Variant consequence (as defined above for VCF output: Consequence)
25. PROTEIN_CHANGE Protein change (HGVSp without reference accession)
26. PROTEIN_DOMAIN Protein domain description (Pfam)
27. CODING_STATUS Coding variant status wrt. protein alteration (coding or noncoding)
28. EXONIC_STATUS Exonic variant status (exonic or nonexonic)
29. CDS_CHANGE composite VEP-based variable for coding change, format: Consequence:Feature:cDNA_position:EXON:HGVSp_short
30. HGVSp
31. HGVSc
32. REGULATORY_ANNOTATION Regulatory annotations (promoter/enhancer/TF_binding site overlap etc.) from VEP (optional)
33. EFFECT_PREDICTIONS as defined above for VCF
34. MUTATION_HOTSPOT mutation hotspot codon in cancerhotspots.org. Format: gene_symbol | codon | q-value
35. MUTATION_HOTSPOT_TRANSCRIPT hotspot-associated transcripts (Ensembl transcript ID)
36. MUTATION_HOTSPOT_CANCERTYPE hotspot-associated cancer types (from cancerhotspots.org)
37. PUTATIVE_DRIVER_MUTATION Indicates if variant is predicted as driver mutation from TCGA’s PanCancer study of cancer driver mutation
38. CHASMPLUS_DRIVER Driver mutation predicted by CHASMplus algorithm
39. CHASMPLUS_TTYPE Tumor type for which mutation is predicted as driver by CHASMplus
40. VEP_ALL_CSQ all VEP transcript block consequences
41. DBSNPRSID dbSNP reference cluster ID
42. COSMIC_MUTATION_ID COSMIC mutation ID
43. TCGA_PANCANCER_COUNT Raw variant count across all TCGA tumor types
44. TCGA_FREQUENCY Frequency of variant across TCGA tumor types. Format: tumortype | percent affected | affected cases | total cases
45. ICGC_PCAWG_OCCURRENCE Mutation occurrence in ICGC-PCAWG by project: project_code | affected_donors | tested_donors | frequency
46. CHEMBL_COMPOUND_ID Compounds (as ChEMBL IDs) that are targeted towards the encoded protein (from Open Targets Platform)
47. CHEMBL_COMPOUND_TERMS Compounds (as drug names) that are targeted towards the encoded protein (from Open Targets Platform)
48. SIMPLEREPEATS_HIT Variant overlaps UCSC simpleRepeat sequence repeat track
49. WINMASKER_HIT Variant overlaps UCSC windowmaskerSdust sequence repeat track
50. OPENTARGETS_RANK OpenTargets association score (between 0 and 1) for gene (maximum across cancer phenotypes)
51. CLINVAR ClinVar association: variant origin and associated traits
52. CLINVAR_CLNSIG clinical significance of ClinVar variant
53. GLOBAL_AF_GNOMAD global germline allele frequency in gnomAD
54. GLOBAL_AF_1KG 1000G Project - phase 3, germline allele frequency
55. NCER_PERCENTILE Genome-wide percentile score (10bp bins) from the non-coding Essential Regulation (ncER) algorithm
56. CALL_CONFIDENCE confidence indicator for somatic variant
57. DP_TUMOR sequencing depth at variant site (tumor sample)
58. AF_TUMOR allelic fraction of alternate allele (tumor sample)
59. DP_CONTROL sequencing depth at variant site (control sample)
60. AF_CONTROL allelic fraction of alternate allele (control sample)
61. TIER
62. TIER_DESCRIPTION

3. Mutational signature contributions

We provide a tab-separated values file with information about mutational signatures detected in the tumor sample. The file has the following naming convention:

  • <sample_id>.pcgr_acmg.<genome_assembly>.mutational_signatures.tsv

The format of the TSV file is the following:

Variable Description
1. signature_id identifier for signature
2. sample_id sample identifier
3. prop_signature relative contribution of mutational signature
4. group keyword for signature aetiology
5. all_reference_signatures logical indicating if all reference signatures were used for reconstruction/inference
6. tumor_type tumor type (used for retrieval of reference signatures)
7. reference_collection collection used for reference signatures
8. reference_signatures signatures present in reference collection
9. fitting_accuracy accuracy of mutational signature fitting

Copy number aberrations

1. Tab-separated values (TSV)

Copy number segments are intersected with the genomic coordinates of all transcripts from GENCODE’s basic gene annotation. In addition, PCGR attaches cancer-relevant annotations for the affected transcripts. The naming convention of the compressed TSV file is as follows:

  • <sample_id>.pcgr_acmg.<genome_assembly>.cna_segments.tsv.gz
    • NOTE: This file is organized according to the affected transcripts (i.e. one line/record per affected transcript).

The format of the compressed TSV file is the following:

Variable Description
1. chrom chromosome
2. segment_start start of copy number segment
3. segment_end end of copy number segment
4. segment_id segment identifier
5. segment_length_Mb length of segment in Mb
6. event_type focal or broad (covering more than 25% of chromosome arm)
7. cytoband(s) cytobands covered by segment
8. LogR Copy log-ratio
9. sample_id Sample identifier
10. ensembl_gene_id Ensembl gene identifier
11. symbol Gene symbol
12. ensembl_transcript_id Ensembl transcript identifier
13. transcript_start chromosomal position of transcript start
14. transcript_end chromosomal position of transcript end
15. transcript_overlap_percent percent of transcript length covered by CN segment
16. name gene name description
17. biotype type of gene
18. tumor_suppressor tumor suppressor gene status (CancerMine literature database/Network of Cancer Genes)
19. oncogene oncogene status (CancerMine literature database/Network of Cancer Genes)
20. intogen_drivers predicted driver gene status (IntoGen Cancer Drivers Database)
21. chembl_compound_id anti-cancer drugs that are targeted towards the encoded protein (from Open Targets Platform, drugs are listed as ChEMBL compound identifiers)
22. gencode_tag
23. gencode_release