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Ultradeep analysis of tumor heterogeneity in regions of somatic hypermutation

Tumor heterogeneity is of growing importance in the treatment of cancers. Mutational hot spots are prime locations for determining number and proportions of low variant allele frequency (VAF) tumor subclones by next generation sequencing. Low VAF detection is complicated by poor mapping efficiency i...

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Autores principales: Spence, Janice M, Spence, John P, Abumoussa, Andrew, Burack, W Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4395979/
https://www.ncbi.nlm.nih.gov/pubmed/25874000
http://dx.doi.org/10.1186/s13073-015-0147-1
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author Spence, Janice M
Spence, John P
Abumoussa, Andrew
Burack, W Richard
author_facet Spence, Janice M
Spence, John P
Abumoussa, Andrew
Burack, W Richard
author_sort Spence, Janice M
collection PubMed
description Tumor heterogeneity is of growing importance in the treatment of cancers. Mutational hot spots are prime locations for determining number and proportions of low variant allele frequency (VAF) tumor subclones by next generation sequencing. Low VAF detection is complicated by poor mapping efficiency in regions with high mutation density. Our Deep-Drilling with iterative Mapping (DDiMAP) method retains variant allele patterns to aid in single nucleotide variation detection and generation of additional reference alleles, with remapping increasing coverage of highly mutated regions to capture data critical to heterogeneity analysis and enhancing sensitivity. DDiMAP outputs variant patterns with frequencies, enabling rapid phylogenetic analysis of ongoing mutation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-015-0147-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-43959792015-04-14 Ultradeep analysis of tumor heterogeneity in regions of somatic hypermutation Spence, Janice M Spence, John P Abumoussa, Andrew Burack, W Richard Genome Med Method Tumor heterogeneity is of growing importance in the treatment of cancers. Mutational hot spots are prime locations for determining number and proportions of low variant allele frequency (VAF) tumor subclones by next generation sequencing. Low VAF detection is complicated by poor mapping efficiency in regions with high mutation density. Our Deep-Drilling with iterative Mapping (DDiMAP) method retains variant allele patterns to aid in single nucleotide variation detection and generation of additional reference alleles, with remapping increasing coverage of highly mutated regions to capture data critical to heterogeneity analysis and enhancing sensitivity. DDiMAP outputs variant patterns with frequencies, enabling rapid phylogenetic analysis of ongoing mutation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-015-0147-1) contains supplementary material, which is available to authorized users. BioMed Central 2015-03-12 /pmc/articles/PMC4395979/ /pubmed/25874000 http://dx.doi.org/10.1186/s13073-015-0147-1 Text en © Spence et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Method
Spence, Janice M
Spence, John P
Abumoussa, Andrew
Burack, W Richard
Ultradeep analysis of tumor heterogeneity in regions of somatic hypermutation
title Ultradeep analysis of tumor heterogeneity in regions of somatic hypermutation
title_full Ultradeep analysis of tumor heterogeneity in regions of somatic hypermutation
title_fullStr Ultradeep analysis of tumor heterogeneity in regions of somatic hypermutation
title_full_unstemmed Ultradeep analysis of tumor heterogeneity in regions of somatic hypermutation
title_short Ultradeep analysis of tumor heterogeneity in regions of somatic hypermutation
title_sort ultradeep analysis of tumor heterogeneity in regions of somatic hypermutation
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4395979/
https://www.ncbi.nlm.nih.gov/pubmed/25874000
http://dx.doi.org/10.1186/s13073-015-0147-1
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