Somatic variant detection from multi-sampled genomic sequencing data of tumor specimens using the ith.Variant pipeline

Summary: A common technique for uncovering intra-tumor genomic heterogeneity (ITH) is variant detection. However, it can be challenging to reliably characterize ITH given uneven sample quality (e.g., depth of coverage, tumor purity, and subclonality). We describe a protocol for calling point mutatio...

Full description

Bibliographic Details
Main Authors: Nicole Maeser, Aziz Khan, Ruping Sun
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:STAR Protocols
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666166722008073
_version_ 1797961085717839872
author Nicole Maeser
Aziz Khan
Ruping Sun
author_facet Nicole Maeser
Aziz Khan
Ruping Sun
author_sort Nicole Maeser
collection DOAJ
description Summary: A common technique for uncovering intra-tumor genomic heterogeneity (ITH) is variant detection. However, it can be challenging to reliably characterize ITH given uneven sample quality (e.g., depth of coverage, tumor purity, and subclonality). We describe a protocol for calling point mutations and copy number alterations using sequencing of multiple related clinical patient samples across diverse tissue, optimizing for sensitivity with specificity. The ith.Variant pipeline can be run on single- or multi-region whole-genome and whole-exome sequencing.For complete details on the use and execution of this protocol, please refer to Sun et al. (2017).1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
first_indexed 2024-04-11T00:54:57Z
format Article
id doaj.art-ec2efb838ccb4eeab2bd0efbe10b0b66
institution Directory Open Access Journal
issn 2666-1667
language English
last_indexed 2024-04-11T00:54:57Z
publishDate 2023-03-01
publisher Elsevier
record_format Article
series STAR Protocols
spelling doaj.art-ec2efb838ccb4eeab2bd0efbe10b0b662023-01-05T06:47:42ZengElsevierSTAR Protocols2666-16672023-03-0141101927Somatic variant detection from multi-sampled genomic sequencing data of tumor specimens using the ith.Variant pipelineNicole Maeser0Aziz Khan1Ruping Sun2Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN 55455, USA; Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USAStanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94305, USADepartment of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN 55455, USA; Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA; Corresponding authorSummary: A common technique for uncovering intra-tumor genomic heterogeneity (ITH) is variant detection. However, it can be challenging to reliably characterize ITH given uneven sample quality (e.g., depth of coverage, tumor purity, and subclonality). We describe a protocol for calling point mutations and copy number alterations using sequencing of multiple related clinical patient samples across diverse tissue, optimizing for sensitivity with specificity. The ith.Variant pipeline can be run on single- or multi-region whole-genome and whole-exome sequencing.For complete details on the use and execution of this protocol, please refer to Sun et al. (2017).1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.http://www.sciencedirect.com/science/article/pii/S2666166722008073BioinformaticsCancerHealth SciencesGenomicsSequencing
spellingShingle Nicole Maeser
Aziz Khan
Ruping Sun
Somatic variant detection from multi-sampled genomic sequencing data of tumor specimens using the ith.Variant pipeline
STAR Protocols
Bioinformatics
Cancer
Health Sciences
Genomics
Sequencing
title Somatic variant detection from multi-sampled genomic sequencing data of tumor specimens using the ith.Variant pipeline
title_full Somatic variant detection from multi-sampled genomic sequencing data of tumor specimens using the ith.Variant pipeline
title_fullStr Somatic variant detection from multi-sampled genomic sequencing data of tumor specimens using the ith.Variant pipeline
title_full_unstemmed Somatic variant detection from multi-sampled genomic sequencing data of tumor specimens using the ith.Variant pipeline
title_short Somatic variant detection from multi-sampled genomic sequencing data of tumor specimens using the ith.Variant pipeline
title_sort somatic variant detection from multi sampled genomic sequencing data of tumor specimens using the ith variant pipeline
topic Bioinformatics
Cancer
Health Sciences
Genomics
Sequencing
url http://www.sciencedirect.com/science/article/pii/S2666166722008073
work_keys_str_mv AT nicolemaeser somaticvariantdetectionfrommultisampledgenomicsequencingdataoftumorspecimensusingtheithvariantpipeline
AT azizkhan somaticvariantdetectionfrommultisampledgenomicsequencingdataoftumorspecimensusingtheithvariantpipeline
AT rupingsun somaticvariantdetectionfrommultisampledgenomicsequencingdataoftumorspecimensusingtheithvariantpipeline