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FERMI: A Novel Method for Sensitive Detection of Rare Mutations in Somatic Tissue
With growing interest in monitoring mutational processes in normal tissues, tumor heterogeneity, and cancer evolution under therapy, the ability to accurately and economically detect ultra-rare mutations is becoming increasingly important. However, this capability has often been compromised by signi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6723130/ https://www.ncbi.nlm.nih.gov/pubmed/31352405 http://dx.doi.org/10.1534/g3.119.400438 |
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author | Liggett, L. Alexander Sharma, Anchal De, Subhajyoti DeGregori, James |
author_facet | Liggett, L. Alexander Sharma, Anchal De, Subhajyoti DeGregori, James |
author_sort | Liggett, L. Alexander |
collection | PubMed |
description | With growing interest in monitoring mutational processes in normal tissues, tumor heterogeneity, and cancer evolution under therapy, the ability to accurately and economically detect ultra-rare mutations is becoming increasingly important. However, this capability has often been compromised by significant sequencing, PCR and DNA preparation error rates. Here, we describe FERMI (Fast Extremely Rare Mutation Identification) - a novel method designed to eliminate the majority of these sequencing and library-preparation errors in order to significantly improve rare somatic mutation detection. This method leverages barcoded targeting probes to capture and sequence DNA of interest with single copy resolution. The variant calls from the barcoded sequencing data are then further filtered in a position-dependent fashion against an adaptive, context-aware null model in order to distinguish true variants. As a proof of principle, we employ FERMI to probe bone marrow biopsies from leukemia patients, and show that rare mutations and clonal evolution can be tracked throughout cancer treatment, including during historically intractable periods like minimum residual disease. Importantly, FERMI is able to accurately detect nascent clonal expansions within leukemias in a manner that may facilitate the early detection and characterization of cancer relapse. |
format | Online Article Text |
id | pubmed-6723130 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-67231302019-09-17 FERMI: A Novel Method for Sensitive Detection of Rare Mutations in Somatic Tissue Liggett, L. Alexander Sharma, Anchal De, Subhajyoti DeGregori, James G3 (Bethesda) Investigations With growing interest in monitoring mutational processes in normal tissues, tumor heterogeneity, and cancer evolution under therapy, the ability to accurately and economically detect ultra-rare mutations is becoming increasingly important. However, this capability has often been compromised by significant sequencing, PCR and DNA preparation error rates. Here, we describe FERMI (Fast Extremely Rare Mutation Identification) - a novel method designed to eliminate the majority of these sequencing and library-preparation errors in order to significantly improve rare somatic mutation detection. This method leverages barcoded targeting probes to capture and sequence DNA of interest with single copy resolution. The variant calls from the barcoded sequencing data are then further filtered in a position-dependent fashion against an adaptive, context-aware null model in order to distinguish true variants. As a proof of principle, we employ FERMI to probe bone marrow biopsies from leukemia patients, and show that rare mutations and clonal evolution can be tracked throughout cancer treatment, including during historically intractable periods like minimum residual disease. Importantly, FERMI is able to accurately detect nascent clonal expansions within leukemias in a manner that may facilitate the early detection and characterization of cancer relapse. Genetics Society of America 2019-09-01 /pmc/articles/PMC6723130/ /pubmed/31352405 http://dx.doi.org/10.1534/g3.119.400438 Text en Copyright © 2019 Liggett et al. http://creativecommons.org/licenses/by/4.0 This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Investigations Liggett, L. Alexander Sharma, Anchal De, Subhajyoti DeGregori, James FERMI: A Novel Method for Sensitive Detection of Rare Mutations in Somatic Tissue |
title | FERMI: A Novel Method for Sensitive Detection of Rare Mutations in Somatic Tissue |
title_full | FERMI: A Novel Method for Sensitive Detection of Rare Mutations in Somatic Tissue |
title_fullStr | FERMI: A Novel Method for Sensitive Detection of Rare Mutations in Somatic Tissue |
title_full_unstemmed | FERMI: A Novel Method for Sensitive Detection of Rare Mutations in Somatic Tissue |
title_short | FERMI: A Novel Method for Sensitive Detection of Rare Mutations in Somatic Tissue |
title_sort | fermi: a novel method for sensitive detection of rare mutations in somatic tissue |
topic | Investigations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6723130/ https://www.ncbi.nlm.nih.gov/pubmed/31352405 http://dx.doi.org/10.1534/g3.119.400438 |
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