{"title":"50. TAGVar: A simple, free software tool to annotate genomic variants for clinical review","authors":"Matthew Croken, Olga Lukatskaya","doi":"10.1016/j.cancergen.2024.08.052","DOIUrl":null,"url":null,"abstract":"<div><div>Comprehensive and whole exome NGS panels can generate large amounts of genomic information for a single specimen. This makes these approaches very powerful, however converting raw signals from the NGS instrument into actionable, clinical information requires specialized data pipelines. The expense and expertise required to deploy these pipelines may place NGS testing out of reach for clinics and research groups in low resource settings. TAGVar (Tertiary Analysis of Genomic Variants) is a freely available software tool that facilitates somatic variant classification in both the clinical and research contexts. The application takes VCF formatted genomic variants and outputs HGVS annotations, predicted effect, and links to external variant databases, like dbSNP, gnomAD, ClinVar, COSMIC, and CancerHotspots.org. TAGVar sorts and categorizes variants based on read coverage, variant allele frequency, inferred transcript effect, description in somatic variant databases, or presence in known cancer-related genes as well as additional user-defined criteria. In the clinic, these classifications streamline the identification of reportable variants. In research, the same classification scheme identifies known and novel somatic variants associated with disease. TAGVar has relatively low memory and CPU requirements and does not require a stable internet connection to run. These design features make TAGVar ideal for use in low resource settings.</div></div>","PeriodicalId":49225,"journal":{"name":"Cancer Genetics","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Genetics","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210776224000905","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
Abstract
Comprehensive and whole exome NGS panels can generate large amounts of genomic information for a single specimen. This makes these approaches very powerful, however converting raw signals from the NGS instrument into actionable, clinical information requires specialized data pipelines. The expense and expertise required to deploy these pipelines may place NGS testing out of reach for clinics and research groups in low resource settings. TAGVar (Tertiary Analysis of Genomic Variants) is a freely available software tool that facilitates somatic variant classification in both the clinical and research contexts. The application takes VCF formatted genomic variants and outputs HGVS annotations, predicted effect, and links to external variant databases, like dbSNP, gnomAD, ClinVar, COSMIC, and CancerHotspots.org. TAGVar sorts and categorizes variants based on read coverage, variant allele frequency, inferred transcript effect, description in somatic variant databases, or presence in known cancer-related genes as well as additional user-defined criteria. In the clinic, these classifications streamline the identification of reportable variants. In research, the same classification scheme identifies known and novel somatic variants associated with disease. TAGVar has relatively low memory and CPU requirements and does not require a stable internet connection to run. These design features make TAGVar ideal for use in low resource settings.
期刊介绍:
The aim of Cancer Genetics is to publish high quality scientific papers on the cellular, genetic and molecular aspects of cancer, including cancer predisposition and clinical diagnostic applications. Specific areas of interest include descriptions of new chromosomal, molecular or epigenetic alterations in benign and malignant diseases; novel laboratory approaches for identification and characterization of chromosomal rearrangements or genomic alterations in cancer cells; correlation of genetic changes with pathology and clinical presentation; and the molecular genetics of cancer predisposition. To reach a basic science and clinical multidisciplinary audience, we welcome original full-length articles, reviews, meeting summaries, brief reports, and letters to the editor.