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Using somatic variant richness to mine signals from rare variants in the cancer genome
To date, the vast preponderance of somatic variants observed in the cancer genome have been rare variants, and it is common in practice to encounter in a new tumor variants that have not been observed previously. Here we focus on probability estimation for encountering such hitherto unseen variants....
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6890761/ https://www.ncbi.nlm.nih.gov/pubmed/31796730 http://dx.doi.org/10.1038/s41467-019-13402-z |
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author | Chakraborty, Saptarshi Arora, Arshi Begg, Colin B. Shen, Ronglai |
author_facet | Chakraborty, Saptarshi Arora, Arshi Begg, Colin B. Shen, Ronglai |
author_sort | Chakraborty, Saptarshi |
collection | PubMed |
description | To date, the vast preponderance of somatic variants observed in the cancer genome have been rare variants, and it is common in practice to encounter in a new tumor variants that have not been observed previously. Here we focus on probability estimation for encountering such hitherto unseen variants. We draw upon statistical methodology that has been developed in other fields of study, notably in species estimation in ecology, and word frequency estimation in computational linguistics. Analysis of whole-exome and targeted panel sequencing data sets reveal substantial variability in variant “richness” between genes that could be harnessed for clinically relevant problems. We quantify the variant-tissue association and show a strong gene-specific, lineage-dependent pattern of encountering new variants. This variability is largely determined by the proportion of observed variants that are rare. Our findings suggest that variants that occur at very low frequencies can harbor important signals that are clinically consequential. |
format | Online Article Text |
id | pubmed-6890761 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68907612019-12-05 Using somatic variant richness to mine signals from rare variants in the cancer genome Chakraborty, Saptarshi Arora, Arshi Begg, Colin B. Shen, Ronglai Nat Commun Article To date, the vast preponderance of somatic variants observed in the cancer genome have been rare variants, and it is common in practice to encounter in a new tumor variants that have not been observed previously. Here we focus on probability estimation for encountering such hitherto unseen variants. We draw upon statistical methodology that has been developed in other fields of study, notably in species estimation in ecology, and word frequency estimation in computational linguistics. Analysis of whole-exome and targeted panel sequencing data sets reveal substantial variability in variant “richness” between genes that could be harnessed for clinically relevant problems. We quantify the variant-tissue association and show a strong gene-specific, lineage-dependent pattern of encountering new variants. This variability is largely determined by the proportion of observed variants that are rare. Our findings suggest that variants that occur at very low frequencies can harbor important signals that are clinically consequential. Nature Publishing Group UK 2019-12-03 /pmc/articles/PMC6890761/ /pubmed/31796730 http://dx.doi.org/10.1038/s41467-019-13402-z Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Chakraborty, Saptarshi Arora, Arshi Begg, Colin B. Shen, Ronglai Using somatic variant richness to mine signals from rare variants in the cancer genome |
title | Using somatic variant richness to mine signals from rare variants in the cancer genome |
title_full | Using somatic variant richness to mine signals from rare variants in the cancer genome |
title_fullStr | Using somatic variant richness to mine signals from rare variants in the cancer genome |
title_full_unstemmed | Using somatic variant richness to mine signals from rare variants in the cancer genome |
title_short | Using somatic variant richness to mine signals from rare variants in the cancer genome |
title_sort | using somatic variant richness to mine signals from rare variants in the cancer genome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6890761/ https://www.ncbi.nlm.nih.gov/pubmed/31796730 http://dx.doi.org/10.1038/s41467-019-13402-z |
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