
AMP/ASCO/CAP tier classification for somatic variants in cancer
Source:R/variant_classification.R
assign_amp_asco_cap_tiers.RdFunction that assigns tier classifications to genes subject to somatic CNA (amplifications and deletions), somatic SNVs/InDels, or RNA fusions, based on the presence and strength of biomarker evidence associated with records in the variant set. Tier classification is based on the AMP/ASCO/CAP guidelines for somatic variant interpretation in cancer (Li et al., J Mol Diagn. 2017). The function also considers variant properties associated with oncogenes and tumor suppressor genes (e.g. low MAF, coding status), which are used to assign tier 3 status to variants with uncertain clinical significance.
Usage
assign_amp_asco_cap_tiers(
vartype = "snv_indel",
clinical_significance = "therapeutic_sensitivity",
primary_site = "Any",
biomarker_mapping_confidence = "medium",
var_df = NULL,
biomarker_items = NULL
)Arguments
- vartype
variant type ('snv_indel', 'cna', 'fusion')
- clinical_significance
character indicate the clinical significance types of evidence used for tiering of predictive evidence. Possible values: "therapeutic_sensitivity", "therapeutic_resistance", "prognostic_poor", "prognostic_better", "diagnostic_positive", "diagnostic_negative"
- primary_site
primary tumor site
- biomarker_mapping_confidence
confidence level of variant-biomarker mapping resolution (e.g. 'high' or 'medium'). 'High' indicates matches at genomic/hgvsp/hgvsc level, 'medium' indicates matches at gene/exon level Note that that matches at gene/exon level also consider variant properties (loss-of-function, hotspot overlap etc) to avoid noise from presumably less impactful variants that are likely not relevant for the biomarker relationship
- var_df
data frame with variants (SNVs/InDels, CNAs, fusions)
- biomarker_items
data frame with biomarker evidence items