Mandatory parameters for running both CPSR/PCGR.
--genomeGenome assembly used to generate VCF files. Available: [grch37, grch38]--databasePath to PCGR data bundle--fastaReference fasta file used in Sarek analysis.
Define input paths, output directory for results and toggle saving intermediate analysis files.
--inputPath to valid samplesheet CSV file. Please refer to documentation for valid samplesheet examples--save_intermediatesSave tabixed, bgzipped and reformatted VCF files from a workflow run [default: false]--outdirThe output directory where the results will be saved. Must use absolute paths to storage on Cloud infrastructure [default: results]
Define PCGR parameters. To invoke copy number alteration analysis and tumor mutational burden analysis, set --cna_analysis and --tmb_analysis respectively, to true.
--assayType of DNA sequencing assay performed for input data (VCF). Available: [WES,WGS,TARGETED] [default: WES]--cpsr_reportCPSR report file (Gzipped JSON - file ending with 'cpsr.<genome_assembly>.json.gz' - germline report of patient's blood/control sample.--tumor_siteOptional integer code to specify primary tumor type/site of query sample [default: 0]
0 = Any, 1 = Adrenal Gland, 2 = Ampulla of Vater, 3 = Biliary Tract, 4 = Bladder/Urinary Tract, 5 = Bone, 6 = Breast, 7 = Cervix, 8 = CNS/Brain, 9 = Colon/Rectum, 10 = Esophagus/Stomach, 11 = Eye, 12 = Head and Neck, 13 = Kidney, 14 = Liver, 15 = Lung, 16 = Lymphoid, 17 = Myeloid, 18 = Ovary/Fallopian Tube, 19 = Pancreas, 20 = Peripheral Nervous System, 21 = Peritoneum, 22 = Pleura, 23 = Prostate, 24 = Skin, 25 = Soft Tissue, 26 = Testis, 27 = Thymus, 28 = Thyroid, 29 = Uterus, 30 = Vulva/Vagina--tumor_purityEstimated tumor purity (between 0 and 1, [default: None]--tumor_ploidyEstimated tumor ploidy [default: None]--cna_analysisInclude somatic copy number alteration analysis [default: false]--logr_gainLog ratio-threshold (minimum) for segments containing copy number gains/amplifications [default: 0.8]--logr_homdelLog ratio-threshold (maximum) for segments containing homozygous deletions [default: -0.8]--cna_overlap_pctMean percent overlap between copy number segment and gene transcripts for reporting of gains/losses in tumor suppressor genes/oncogenes [default: 50]--target_size_mbFor mutational burden analysis - approximate protein-coding target size in Mb of sequencing assay [default: 34]--estimate_tmbEstimate tumor mutational burden from the total number of somatic mutations and target region size [default: false]--estimate_msi_statusPredict microsatellite instability status from patterns of somatic mutations/indels, default: false--tmb_algorithmMethod for calculation of TMB, all coding variants (Chalmers et al., Genome Medicine, 2017), or non-synonymous variants only. Available [all_coding, non_synom], [default: all_coding]--estimate_signaturesEstimate relative contributions of reference mutational signatures in query sample and detect potential kataegis events [default: false]--min_mutations_signaturesMinimum number of SNVs required for reconstruction of mutational signatures (SBS) by MutationalPatterns (default: 200, minimum n = 100) [default: 200]--all_reference_signaturesUse all reference mutational signatures (SBS, n = 67) in signature reconstruction rather than only those already attributed to the tumor type [default: false]--include_artefact_signaturesInclude sequencing artefacts in the collection of reference signatures [default: false]--prevalence_reference_signaturesMinimum tumor-type prevalence (in percent) of reference signatures to be included in refitting procedure [default: 5]--include_trials(Beta) Include relevant ongoing or future clinical trials, focusing on studies with molecularly targeted interventions [default: true]--tumor_dp_minIf VCF INFO tag for sequencing depth (tumor) is specified and found, set minimum required depth for inclusion in report [default: 0]--tumor_af_minIf VCF INFO tag for variant allelic fraction (tumor) is specified and found, set minimum required AF for inclusion in report [default: 0]--control_dp_minIf VCF INFO tag for sequencing depth (control) is specified and found, set minimum required depth for inclusion in report [default: 0]--control_af_maxIf VCF INFO tag for variant allelic fraction (control) is specified and found, set maximum tolerated AF for inclusion in report [default: 1]
--tumor_onlyInput VCF comes from tumor-only sequencing, calls will be filtered for variants of germline origin [default: false]--cell_lineInput VCF comes from tumor cell line sequencing (requires --tumor_only), calls will be filtered for variants of germline origin [default: false]--pon_vcfVCF file with germline calls from Panel of Normals (PON) - i.e. blacklisted variants [default: None]--exclude_ponExclude variants occurring in PoN (Panel of Normals), if provided as VCF (--pon_vcf) [default: false]--exclude_likely_hom_germlineExclude likely homozygous germline variants (100 pct allelic fraction for alternate allele in tumor, very unlikely somatic event, [default: false]--exclude_likely_het_germlineExclude likely heterozygous germline variants (40-60 pct allelic fraction, AND presence in dbSNP + gnomAD, AND not existing as somatic event in COSMIC/TCGA) [default: false]--exclude_dbsnp_nonsomaticExclude variants found in dbSNP (only those that are NOT found in ClinVar(somatic origin)/DoCM/TCGA/COSMIC [defult: false]--exclude_nonexonicExclude non-exonic variants [default: false]--maf_onekg_eurExclude variants in tumor (SNVs/InDels, tumor-only mode) with MAF above the given percent threshold (1000 GenomesProject - European pop) [default: 0.002]--maf_onekg_amrExclude variants in tumor (SNVs/InDels, tumor-only mode) with MAF above the given percent threshold (1000 Genomes Project - Ad mixed American pop) [default: 0.002]--maf_onekg_afrExclude variants in tumor (SNVs/InDels, tumor-only mode) with MAF above the given percent threshold (1000 Genomes Project - African pop) [default: 0.002]--maf_onekg_easExclude variants in tumor (SNVs/InDels, tumor-only mode) with MAF above the given percent threshold (1000 Genomes Project -East Asian pop) [default: 0.002]--maf_onekg_sasExclude variants in tumor (SNVs/InDels, tumor-only mode) with MAF above the given percent threshold (1000 Genomes Project - South Asian pop) [default: 0.002]--maf_onekg_globalExclude variants in tumor (SNVs/InDels, tumor-only mode) with MAF above the given percent threshold (1000 Genomes Project - Global pop) [default: 0.002]--maf_gnomad_nfeExclude variants in tumor (SNVs/InDels, tumor-only mode) with MAF above the given percent threshold (gnomAD - European (non-Finnish)) [default: 0.002]--maf_gnomad_asjExclude variants in tumor (SNVs/InDels, tumor-only mode) with MAF above the given percent threshold (gnomAD - Ashkenazi Jewish) [default: 0.002]--maf_gnomad_finExclude variants in tumor (SNVs/InDels, tumor-only mode) with MAF above the given percent threshold (gnomAD - European Finnish) [default: 0.002]--maf_gnomad_othExclude variants in tumor (SNVs/InDels, tumor-only mode) with MAF above the given percent threshold (gnomAD - Other) [default: 0.002]--maf_gnomad_amrExclude variants in tumor (SNVs/InDels, tumor-only mode) with MAF above the given percent threshold (gnomAD - Latino/Admixed American) [default: 0.002]--maf_gnomad_afrExclude variants in tumor (SNVs/InDels, tumor-only mode) with MAF above the given percent threshold (gnomAD - African/African-American) [default: 0.002]--maf_gnomad_easExclude variants in tumor (SNVs/InDels, tumor-only mode) with MAF above the given percent threshold (gnomAD - East Asian) [default: 0.002]--maf_gnomad_sasExclude variants in tumor (SNVs/InDels, tumor-only mode) with MAF above the given percent threshold (gnomAD - South Asian) [default: 0.002]--maf_gnomad_globalExclude variants in tumor (SNVs/InDels, tumor-only mode) with MAF above the given percent threshold (gnomAD - global population) [default: 0.002]
--panel_idSelect the virtual gene panel for cancer predisposition reports [default: 0]
0 = CPSR exploratory cancer predisposition panel, 1 = Adult solid tumours cancer susceptibility, 2 = Adult solid tumours for rare disease, 3 = Bladder cancer pertinent cancer susceptibility, 4 = Brain cancer pertinent cancer susceptibility, 5 = Breast cancer pertinent cancer susceptibility, 6 = Childhood solid tumours cancer susceptibility, 7 = Colorectal cancer pertinent cancer susceptibility, 8 = Endometrial cancer pertinent cancer susceptibility, 9 = Familial Tumours Syndromes of the central & peripheral Nervous system, 10 = Familial breast cancer, 11 = Familial melanoma, 12 = Familial prostate cancer, 13 = Familial rhabdomyosarcoma, 14 = GI tract tumours, 15 = Genodermatoses with malignancies, 16 = Haematological malignancies cancer susceptibility, 17 = Haematological malignancies for rare disease, 18 = Head and neck cancer pertinent cancer susceptibility, 19 = Inherited MMR deficiency (Lynch syndrome) - Genomics England PanelApp, 20 = Inherited non-medullary thyroid cancer, 21 = Inherited ovarian cancer (without breast cancer), 22 = Inherited pancreatic cancer, 23 = Inherited polyposis, 24 = Inherited predisposition to acute myeloid leukaemia (AML) - Genomics England PanelApp, 25 = Inherited predisposition to GIST, 26 = Inherited renal cancer, 27 = Inherited phaeochromocytoma and paraganglioma, 28 = Melanoma pertinent cancer susceptibility, 29 = Multiple endocrine tumours, 30 = Multiple monogenic benign skin tumours, 31 = Neuroendocrine cancer pertinent cancer susceptibility, 32 = Neurofibromatosis Type 1, 33 = Ovarian cancer pertinent cancer susceptibility, 34 = Parathyroid Cancer, 35 = Prostate cancer pertinent cancer susceptibility, 36 = Renal cancer pertinent cancer susceptibility, 37 = Rhabdoid tumour predisposition, 38 = Sarcoma cancer susceptibility, 39 = Sarcoma susceptibility, 40 = Thyroid cancer pertinent cancer susceptibility, 41 = Tumour predisposition - childhood onset, 42 = Upper gastrointestinal cancer pertinent cancer susceptibility--diagnostic_grade_onlyFor panel_id's 1-42 - consider genes with a GREEN status only [default: false]--ignore_noncodingDo not list non-coding variants in HTML report [default: false]--pop_gnomadPopulation source in gnomAD used for variant frequency assessment (ACMG classification). Available: [afr,amr,eas,sas,asj,nfe,fin,global] [default: nfe]--maf_upper_thresholdUpper MAF limit (gnomAD global population frequency) for variants to be included in the report [default: 0.9]--classify_allProvide CPSR variant classifications (TIER 1-5) also for variants with exising ClinVar classifications in output TSV [default: false]--clinvar_ignore_noncancerIgnore (exclude from report) ClinVar-classified variants reported only for phenotypes/conditions NOT related to cancer [default: false]
PCGR and CPSR only report variants with PASS in the filter column. In the event you wish to apply your own filtering logic to variants, please construct a valid bcftools filtering expression. Include -m x in the expression to resets filters of sites which pass to "PASS".
--filter_deepvariantApply filtering expression to DeepVariant VCF (germline) using bcftools filter. [default: "-i'FORMAT/DP>10'"]--filter_freebayes_germlineApply filtering expression to FreeBayes (germline) using bcftools filter. [default: "-i'FORMAT/DP>10'"]--filter_freebayes_somaticApply filtering expression to FreeBayes (somatic/tumor-only) using bcftools filter. [default: "-i'FORMAT/DP>10'"]--filter_haplotypecallerApply filtering expression to GATK HaplotypeCaller (germline) using bcftools filter [default: "-i'FORMAT/DP>10'"]--filter_mutect2Apply filtering expression to GATK Mutect2 (somatic/tumor-only) using bcftools filt [default: "-i'FORMAT/DP>10'"]--filter_strelka_indelsApply filtering expression to Illumina Strelka Indels (somatic) using bcftools filt [default: "-i'FORMAT/DP>10'"]--filter_strelka_snvsApply filtering expression to Illumina Strelka snvs (somatic) using bcftools filter [default: "-i'FORMAT/DP>10'"]--filter_strelka_variantsApply filtering expression to Illumina Strelka variants (germline/tumor-only) using [default: "-i'FORMAT/DP>10'"]
--vep_n_forksNumber of forks (option '--fork' in VEP) [default: 4]--vep_buffer_sizeVariant buffer size (variants read into memory simultaneously, option '--buffer_size' in VEP). Set to lower to reduce memory usage [default: 500]--vep_gencode_allConsider all GENCODE transcripts with Variant Effect Predictor (VEP) (option '--gencode_basic' in VEP is used by default). [default: true]--vep_pick_orderComma-separated string of ordered transcript properties for primary variant pick ( option'--pick_order' in VEP) [default: canonical,appris,biotype,ccds,rank,tsl,length,mane]--vep_no_intergenicSkip intergenic variants during processing (option '--no_intergenic' in VEP), [default: false]