Output
Interactive HTML report
An interactive and structured quarto-generated HTML report, lists variants in known cancer predisposition genes and is provided with the following naming convention:
-
<sample_id>.cpsr.<genome_assembly>.html
- The sample_id is provided as input by the user, and reflects a unique identifier of the sample to be analyzed.
The report is structured in multiple sections, described briefly below:
-
Settings
- Lists key configurations provided by user, including the list of genes that constitute the virtual gene panel in the report
-
Summary of findings
- Summarizes the main findings in the sample through value boxes
-
Variant classification
- For all coding variants in the selected cancer predisposition
geneset, interactive variant tables are shown for each level of clinical
significance (ClinVar and non-ClinVar
(Other) variants combined):
- Pathogenic
- Likely Pathogenic
- Variants of Uncertain Significance (VUS)
- Likely Benign
- Benign
- For all coding variants in the selected cancer predisposition
geneset, interactive variant tables are shown for each level of clinical
significance (ClinVar and non-ClinVar
(Other) variants combined):
-
Genomic biomarkers
- Reported clinical evidence items from CIViC that match with variants in the
query set are reported in four distinct tabs (Predictive / Prognostic /
Diagnostic / Predisposing)
- See section below for details of biomarker annotations
- Reported clinical evidence items from CIViC that match with variants in the
query set are reported in four distinct tabs (Predictive / Prognostic /
Diagnostic / Predisposing)
-
Secondary findings
- Pathogenic variants in the ACMG-recommended list of genes for report of secondary/incidental findings
-
GWAS hits
- Status of relatively common, low-risk variants found in genome-wide association studies of cancer phenotypes (NHGRI-EBI Catalog)
-
Documentation
- Introduction
- Short overview of the CPSR variant report - aims and contents
- Annotation resources
- Information on annotation sources utilized by CPSR, including versions and licensing requirements
- Variant classification
- Overview of how CPSR performs variant classification of variants not recorded in ClinVar, listing ACMG criteria and associated scores
- Introduction
-
References
- Supporting scientific literature - knowledge resources, guideline references etc.)
Variant call format - VCF
A VCF file containing annotated, germline calls (single nucleotide variants and insertions/deletions) is generated with the following naming convention:
-
<sample_id>.cpsr.<genome_assembly>.vcf.gz (.tbi)
- The sample_id is provided as input by the user, and reflects a unique identifier of the sample 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 CPSR 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 , RefSeq ,
DOMAINS , HGVS_OFFSET , gnomADe_AF ,
gnomADe_AFR_AF , gnomADe_AMR_AF ,
gnomADe_ASJ_AF , gnomADe_EAS_AF ,
gnomADe_FIN_AF , gnomADe_NFE_AF ,
gnomADe_OTH_AF , gnomADe_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_RELATIVE_POSITION |
Ratio of variant coding position to length of coding sequence |
CDS_CHANGE |
Coding, transcript-specific sequence annotation (picked by VEP’s
--flag_pick_allele option) |
ALTERATION |
HGVSp/HGVSc identifier |
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_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) |
HGVSc_RefSeq |
The HGVSc coding sequence name using RefSeq transcript identifiers
(MANE select) - 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) |
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) |
EXON |
The exon number (out of total number) (picked by VEP’s
--flag_pick_allele option) |
EXON_AFFECTED |
The exon affected by the variant (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_CSQ |
All VEP transcript block consequences
(Consequence:SYMBOL:Feature_type:Feature:BIOTYPE ) -
VEP |
EXONIC_STATUS |
Indicates if variant consequence type is ‘exonic’ or ‘nonexonic’. We
define ‘exonic’ as any variants with 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’. ‘coding’ variants are here defined as those with an ‘exonic’ status, with the exception of synonymous variants |
NULL_VARIANT |
Primary variant consequence type is frameshift or
stop_gained /stop_lost
|
LOSS_OF_FUNCTION |
Loss-of-function variant |
LOF_FILTER |
Loss-of-function filter |
SPLICE_DONOR_RELEVANT |
Logical indicating if variant is located at a particular location
near the splice donor site (+3A/G , +4A or
+5G ) |
BIOMARKER_MATCH |
Variant matches with germline biomarker evidence in CIViC/CGI.
Format:
<db_source>|<db_variant_id>|<db_evidence_id>:<tumor_site>:<clinical_significance>:<evidence_level>:<evidence_type><germline_somatic>|<matching_type> .
Multiple evidence items are separated by ‘&’. Example:
civic|174|EID445:Colon/Rectum:Sensitivity/Response:D:Predictive:Germline&EID446:Colon/Rectum:Sensitivity/Response:D:Predictive:Germline|by_gene_mut.
Matching type can be any of by_genomic_coord ,
by_hgvsp_principal , by_hgvsc_principal ,
by_hgvsp_nonprincipal , by_hgvsc_nonprincipal ,
by_codon_principal , by_exon_mut_principal ,
by_gene_mut_lof , by_gene_mut
|
REGULATORY_ANNOTATION |
Comma-separated list of all variant annotations of
Feature_type , RegulatoryFeature , and
MotifFeature . Format (separated by a | ):
<Consequence> , <Feature_type> ,
<Feature> , <BIOTYPE> ,
<MOTIF_NAME> , <MOTIF_POS> ,
<HIGH_INF_POS> ,
<MOTIF_SCORE_CHANGE> ,
<TRANSCRIPTION_FACTORS>
|
Gene information
Tag | Description |
---|---|
ENTREZGENE |
Entrez gene identifier |
APPRIS |
Principal isoform flags according to the APPRIS principal isoform database |
MANE_SELECT |
Indicating if the transcript is the MANE Select for the gene (picked
by VEP’s --flag_pick_allele_gene option) |
MANE_PLUS_CLINICAL |
Indicating if the transcript is MANE Plus Clinical, as required for
clinical variant reporting (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_TRANSCRIPT_ID |
Corresponding RefSeq transcript(s) identifier for VEP’s picked transcript (NM_XXXXX) |
REFSEQ_PROTEIN_ID |
RefSeq protein/peptide identifier for VEP’s picked transcript (NP_XXXXXX) |
MANE_SELECT2 |
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 - provided through BioMart |
MANE_PLUS_CLINICAL2 |
transcripts chosen to supplement MANE Select when needed for clinical variant reporting - provided through BioMart |
GENCODE_TAG |
tag for GENCODE transcript (basic etc) |
GENCODE_TRANSCRIPT_TYPE |
type of transcript (protein-coding etc.) |
TSG |
Indicates whether gene is predicted as a tumor suppressor gene, from Network of Cancer Genes (NCG) & the CancerMine text-mining resource |
TSG_SUPPORT |
Underlying evidence for gene being a tumor suppressor. Format:
CGC_TIER<1/2>&NCG&CancerMine:num_citations"
|
ONCOGENE |
Indicates whether gene is predicted as an oncogene, from Network of Cancer Genes (NCG) & the CancerMine text-mining resource |
ONCOGENE_SUPPORT |
Underlying evidence for gene being an oncogene. Format:
CGC_TIER<1/2>&NCG&CancerMine:num_citations"
|
CPG_SOURCE |
Cancer predisposition gene source (panel 0:
TCGA , CGC , PANEL_APP ,
OTHER ) |
CGC_GERMLINE |
Member of Cancer Gene Census - germline set |
CGC_SOMATIC |
Member of Cancer Gene Census - somatic set |
CGC_TIER |
Cancer Gene Census tier (1/2) |
NCG_DRIVER |
Cancer driver gene prediction by Network of Cancer Genes (NCG) |
INTOGEN_DRIVER |
Indicates whether gene is predicted as cancer driver from IntOGen’s cancer driver prediction algorithm |
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:
GeneSymbol|Entrez_ID|CodonRefAA|Alt_AA|Q-value
|
MUTATION_HOTSPOT_MATCH |
Type of hotspot match (by_hgvsp_principal, by_hgvsc_principal, by_hgvsp_nonprincipal, by_hgvsc_nonprincipal, by_codon_principal, by_codon_nonprincipal) |
MUTATION_HOTSPOT_CANCERTYPE |
hotspot-associated cancer types (from cancerhotspots.org) |
PFAM_DOMAIN |
Pfam domain identifier (from VEP) |
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, |
- MutPred, 14. GERP, 15. BayesDel, 16. LIST-S2, 17. ALoFT,
- AlphaMissense,
- ESM1b,
- PHACTboost,
-
MutFormer | |
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_PHACTBOOST
| predicted effect from PHACTboost (dbNSFP) | |DBNSFP_ALPHA_MISSENSE
| predicted effect from AlphaMissense (dbNSFP) | |DBNSFP_MUTFORMER
| predicted effect from MutFormer (dbNSFP) | |DBNSFP_ESM1B
| predicted effect from ESM1b (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 allele frequencies/annotations in germline databases
Tag | Description |
---|---|
gnomADe_AFR_AF |
African/American germline allele frequency (gnomAD release 2.1) |
gnomADe_AMR_AF |
American germline allele frequency (gnomAD release 2.1) |
gnomADe_AF |
Adjusted global germline allele frequency (gnomAD release 2.1) |
gnomADe_SAS_AF |
South Asian germline allele frequency (gnomAD release 2.1) |
gnomADe_EAS_AF |
East Asian germline allele frequency (gnomAD release 2.1) |
gnomADe_FIN_AF |
Finnish germline allele frequency (gnomAD release 2.1) |
gnomADe_NFE_AF |
Non-Finnish European germline allele frequency (gnomAD release 2.1) |
gnomADe_OTH_AF |
Other germline allele frequency (gnomAD release 2.1) |
gnomADe_ASJ_AF |
Ashkenazi Jewish allele frequency (gnomAD release 2.1) |
gnomADe_non_cancer_ASJ_AF |
Alternate allele frequency for samples of Ashkenazi Jewish ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_EAS_AF |
Alternate allele frequency for samples of East Asian ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_AFR_AF |
Alternate allele frequency for samples of African-American/African ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_AMR_AF |
Alternate allele frequency for samples of Latino ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_OTH_AF |
Alternate allele frequency for samples of Other ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_NFE_AF |
Alternate allele frequency for samples of Non-Finnish European ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_FIN_AF |
Alternate allele frequency for samples of Finnish ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_SAS_AF |
Alternate allele frequency for samples of South Asian ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_AF |
Alternate allele frequency in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_ASJ_AC |
Alternate allele count for samples of Ashkenazi Jewish ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_EAS_AC |
Alternate allele count for samples of East Asian ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_AFR_AC |
Alternate allele count for samples of African-American/African ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_AMR_AC |
Alternate allele count for samples of Latino ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_OTH_AC |
Alternate allele count for samples of Other ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_NFE_AC |
Alternate allele frequency for samples of Non-Finnish European ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_FIN_AC |
Alternate allele count for samples of Finnish ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_SAS_AC |
Alternate allele count for samples of South Asian ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_AC |
Alternate allele count in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_ASJ_AN |
Total number of alleles in samples of Ashkenazi Jewish ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_EAS_AN |
Total number of alleles in samples of East Asian ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_AFR_AN |
Total number of alleles in samples of African-American/African ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_AMR_AN |
Total number of alleles in samples of Latino ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_OTH_AN |
Total number of alleles in samples of Other ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_NFE_AN |
Total number of alleles in samples of Non-Finnish European ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_FIN_AN |
Total number of alleles in samples of Finnish ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_SAS_AN |
Total number of alleles in samples of South Asian ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_AN |
Total number of alleles in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_ASJ_NHOMALT |
Count of homozygous individuals in samples of Ashkenazi Jewish ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_EAS_NHOMALT |
Count of homozygous individuals in samples of East Asian ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_AFR_NHOMALT |
Count of homozygous individuals in samples of African-American/African ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_AMR_NHOMALT |
Count of homozygous individuals in samples of Latino ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_OTH_NHOMALT |
Count of homozygous individuals in samples of Other ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_NFE_NHOMALT |
Count of homozygous individuals in samples of Non-Finnish European ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_FIN_NHOMALT |
Count of homozygous individuals in samples of Finnish ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_SAS_NHOMALT |
Count of homozygous individuals in samples of South Asian ancestry in the non-cancer subset (gnomAD 2.1.1) |
gnomADe_non_cancer_NHOMALT |
Count of homozygous individuals in samples in the non-cancer subset (gnomAD 2.1.1) |
DBSNP_RSID |
dbSNP reference ID, as provided by VEP |
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 |
CLINVAR_PMID_SOMATIC |
Associated Pubmed IDs for variant in ClinVar - somatic state-of-origin |
CLINVAR_CONFLICTED |
ClinVar variant has conflicting interpretations |
CLINVAR_CLNSIG |
Clinical significance for variant in ClinVar - germline state-of-origin |
CLINVAR_CLASSIFICATION |
Clean clinical significance on a five-level scheme - ClinVar |
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_MOLECULAR_EFFECT |
Variant effect according to ClinVar annotation |
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 |
GWAS_HIT |
variant associated with cancer phenotype from genome-wide association study (NHGRI-EBI GWAS catalog) |
Excel workbook - XLSX
We provide an Excel workbook with four sheets that lists main findings and annotations of the predisposition analysis. The file has the following naming convention:
<sample_id>.cpsr.<genome_assembly>.xlsx
The Excel workbook is populated with the following sheets (pending that data is available):
- VIRTUAL_PANEL - details on the the chosen virtual gene panel
- CLASSIFICATION - variant classifications and corresponding gene annotations
- BIOMARKER_EVIDENCE - matches of variants with genomic biomarkers
- SECONDARY_FINDINGS - potential secondary findings
Tab-separated values - TSV
We provide a compressed tab-separated values file with variant classifications and the most essential variant/gene annotations. The file has the following naming convention:
<sample_id>.cpsr.<genome_assembly>.classification.tsv.gz
The SNVs/InDels are classified according to clinical significance (pathogenicity) (as defined above for the HTML report).
The following variables are included in the tiered TSV file (VCF tags in the query VCF potentially retained by the user will be appended):
Variable | Description |
---|---|
1. SAMPLE_ID
|
Sample identifier |
2. GENOMIC_CHANGE
|
Identifier for variant at the genome (VCF) level,
e.g. 1:g.152382569A>G . Format:
<chrom>:g.<position><ref_allele>><alt_allele>
|
3. VAR_ID
|
Variant identifier - chrom_pos_ref_alt |
4. GENOME_VERSION
|
Assembly version, e.g. grch37/grch38 |
5. GENOTYPE
|
Variant genotype (het/hom_ref/hom_af) |
6. DP_CONTROL
|
Sequencing depth at variant site (‘DP’) |
7. CPSR_CLASSIFICATION_SOURCE
|
ClinVar or CPSR_ACMG (the latter meaning variant not recorded in ClinVar, classified by CPSR) |
8. VARIANT_CLASS
|
Variant type, e.g. SNV/insertion/deletion |
9. CODING_STATUS
|
coding/noncoding (wrt. protein alteration and canonical splice site disruption) |
10. SYMBOL
|
Gene symbol |
11. GENENAME
|
Gene description |
12. CCDS
|
CCDS identifier |
13. ENTREZGENE
|
Entrez gene identifier |
14. UNIPROT_ID
|
UniProt protein identifier |
15. ENSEMBL_GENE_ID
|
Ensembl gene identifier |
16. ENSEMBL_TRANSCRIPT_ID
|
Ensembl transcript identifier |
17. REFSEQ_TRANSCRIPT_ID
|
RefSeq mRNA identifier |
18. ONCOGENE
|
Gene is predicted as an oncogene according to Network of Cancer Genes (NCG)/Cancer Gene Census (CGC) and CancerMine |
19. TUMOR_SUPPRESSOR
|
Gene is predicted as a tumor suppressor gene according to Network of Cancer Genes (NCG)/Cancer Gene Census (CGC) and CancerMine |
20. CONSEQUENCE
|
Variant consequence |
21. ALTERATION
|
Molecular alteration (HGVSp or HGVSc pending on consequence) |
22. PROTEIN_CHANGE
|
Protein change - one letter abbreviation (HGVSp) |
23. PFAM_DOMAIN
|
Protein domain (Pfam identifier) |
24. PFAM_DOMAIN_NAME
|
Protein domain name (Pfam) |
25. HGVSp
|
The HGVS protein sequence name |
26. HGVSc
|
The HGVS coding sequence name |
27. HGVSc_RefSeq
|
The HGVS coding sequence name (RefSeq - MANE Select) |
28. CDS_CHANGE
|
Coding, transcript-specific sequence annotation |
29. LAST_EXON
|
Last exon in gene |
30. EXON
|
Exon of variant/total number of exons in transcript (from VEP) |
31. EXON_AFFECTED
|
Transcript exon of variant (from VEP) |
32. EXON_POSITION
|
Relative position of exon variant to nearest intron/exon junction (NearestExonJB plugin) |
33. INTRON_POSITION
|
Relative position of intron variant to nearest intron/exon junction (NearestExonJB plugin) |
34. VEP_ALL_CSQ
|
All VEP transcript block consequences |
35. CANCER_PHENOTYPE
|
For variants with a ClinVar classification, indication of cancer-associated disease/phenotype (1) or not (0) |
36. MUTATION_HOTSPOT
|
Cancer mutation hotspot (cancerhotspots.org) |
37. RMSK_HIT
|
RepeatMasker hit |
38. EFFECT_PREDICTIONS
|
Functional effect predictions from multiple algorithms (dbNSFP) |
39. LOSS_OF_FUNCTION
|
Loss-of-function variant |
40. LOF_FILTER
|
Loss-of-function filter |
41. NULL_VARIANT
|
Frameshift or stop-gain variant |
42. DBMTS
|
variant with potential effect on microRNA target sites (dbMTS).
Format:
<ensembl_transcript_id>|<microrna_identifier>|<target_prediction_algorithms>|<gain_loss_consensus> .
Target prediction algorithms indicate support by different
algorithms (separated by ‘&’), TS = TargetScan,
M = miRanda, R = RNAhybrid.
Gain_loss_consensus indicate whether the variant was predicted
to disrupt a binding site (L = Loss), or create a new
target site (G = gain) by the different algorithms |
43. REGULATORY_ANNOTATION
|
Overlap of variant with regulatory elements (VEP) |
44. TF_BINDING_SITE_VARIANT
|
Indicates whether a variant overlaps a critical/non-critical position of a transcription factor binding site (TFBS) - as provided by VEP’s–regulatory option (‘Overlap: non-critical motif position’ or ‘Overlap: critical motif position’) |
45. TF_BINDING_SITE_VARIANT_INFO
|
Comma-separated list of transcription factor binding sites affected
by variant. Format per factor:
<TRANSCRIPTION_FACTOR>|<MOTIF_NAME>|<MOTIF_POS>|<MOTIF_SCORE_CHANGE>|<HIGH_INF_POS> .
HIGH_INF_POS indicates whether the variant overlapped a
critical motif position (Y ), or non-critical motif position
(N ) |
46. GERP_SCORE
|
Genomic conservation score (GERP) |
47. DBSNP_RSID
|
dbSNP identifier (rsid) |
48. CLINVAR_CLASSIFICATION
|
clinical significance of ClinVar-recorded variant |
49. CLINVAR_MSID
|
measureset identifier of ClinVar variant |
50. CLINVAR_VARIANT_ORIGIN
|
variant origin (somatic/germline) of ClinVar variant |
51. CLINVAR_CONFLICTED
|
indicator of conflicting interpretations |
52. CLINVAR_PHENOTYPE
|
associated phenotype(s) for ClinVar variant |
53. CLINVAR_REVIEW_STATUS_STARS
|
Review confidence - number of gold stars |
54. N_INSILICO_CALLED
|
Number of algorithms with effect prediction (damaging/tolerated) from dbNSFP |
55. N_INSILICO_DAMAGING
|
Number of algorithms with damaging prediction from dbNSFP |
56. N_INSILICO_TOLERATED
|
Number of algorithms with tolerated prediction from dbNSFP |
57. N_INSILICO_SPLICING_NEUTRAL
|
Number of algorithms with splicing neutral prediction from dbscSNV |
58. N_INSILICO_SPLICING_AFFECTED
|
Number of algorithms with splicing affected prediction from dbscSNV |
59. gnomADe_AF
|
Global MAF in gnomAD (exome samples) |
60. FINAL_CLASSIFICATION
|
Final variant classification, using either
CLINVAR_CLASSIFICATION if variant is ClinVar-classified, or
CPSR_CLASSIFICATION for novel variants |
61. CPSR_CLASSIFICATION
|
Variant clinical significance by CPSR’s classification algorithm (P/LP/VUS/LB/B) |
62. CPSR_PATHOGENICITY_SCORE
|
Aggregated pathogenicity score by CPSR’s algorithm |
63. CPSR_CLASSIFICATION_CODE
|
Combination of CPSR classification codes assigned to the variant (ACMG) |
64. CPSR_CLASSIFICATION_DOC
|
Descriptions of CPSR classification codes assigned to the variant (ACMG) |
65. <CUSTOM_POPULATION_GNOMAD > |
Population specific MAF in gnomAD control (non-cancer, population configured by user) |
NOTE: The user has the possibility to append the TSV file with data from other INFO tags in the input VCF (i.e. using the –retained_info_tags option)
Biomarker annotations
The interactive HTML report (section Genomic biomarkers) and the Excel workbook (sheet BIOMARKER_EVIDENCE contains information on matches between potential pathogenic/likely pathogenic sample variants and reported biomarkers, the latter referring to clinical evidence items that relate genomic genomic aberrations to prognosis, diagnosis or sensitivity/resistance to particular treatments. All biomarker annotations are prefixed with BM_, and the following is provided per evidence item:
Variable | Description |
---|---|
1. BM_CANCER_TYPE
|
Annotated cancer type for biomarker - from CIViC |
2. BM_DISEASE_ONTOLOGY_ID
|
Disease ontology id for cancer type - from CIViC |
3. BM_PRIMARY_SITE
|
Primary tumor type of cancer type - mapped with phenOncoX |
4. BM_CLINICAL_SIGNIFICANCE
|
Clinical significance of biomarker (drug sensitivity, drug resistance, poor outcome etc.) - from CIViC |
5. BM_THERAPEUTIC_CONTEXT
|
Cancer drugs associated with biomarker (for biomarkers related to drug sensitivity/resistance) - from CIViC |
6. BM_CITATION
|
Reference/source for biomarker - i.e. publication or guidelines - from CIViC |
7. BM_RATING
|
Rating of biomarker - from CIViC |
8. BM_MOLECULAR_PROFILE_NAME
|
Associated name of molecular profile - i.e. “BRCA mutation” - from CIViC |
9. BM_EVIDENCE_TYPE
|
Biomarker type - Predictive, Diagnostic, Prognostic, Predisposing - from CIViC |
10. BM_EVIDENCE_LEVEL
|
Strength of evidence for the given biomarker - A to D - from CIViC |
11. BM_EVIDENCE_DIRECTION
|
Direction of biomarker evidence, i.e. Supports or Does Not Support - from CIViC |
12. BM_EVIDENCE_DESCRIPTION
|
Description of biomarker - from CIViC |
13. BM_SOURCE_DB
|
Biomarker source database - CIViC |
14. BM_EVIDENCE_ID
|
Evidence identifier - from CIViC |
15. BM_VARIANT_ORIGIN
|
Origin of biomarker variant - germline |
16. BM_MATCH
|
Match between sample variant and biomarker - by_genomic_coord, by_hgvsp_principal, by_gene_mut_lof etc. |
17. BM_RESOLUTION
|
Highest resolution of mapping between sample variant and biomarker - genomic, hgvsp, codon, gene |