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Allelic decomposition and exact genotyping of highly polymorphic and structurally variant genes
High-throughput sequencing provides the means to determine the allelic decomposition for any gene of interest—the number of copies and the exact sequence content of each copy of a gene. Although many clinically and functionally important genes are highly polymorphic and have undergone structural alt...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5826927/ https://www.ncbi.nlm.nih.gov/pubmed/29483503 http://dx.doi.org/10.1038/s41467-018-03273-1 |
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author | Numanagić, Ibrahim Malikić, Salem Ford, Michael Qin, Xiang Toji, Lorraine Radovich, Milan Skaar, Todd C. Pratt, Victoria M. Berger, Bonnie Scherer, Steve Sahinalp, S. Cenk |
author_facet | Numanagić, Ibrahim Malikić, Salem Ford, Michael Qin, Xiang Toji, Lorraine Radovich, Milan Skaar, Todd C. Pratt, Victoria M. Berger, Bonnie Scherer, Steve Sahinalp, S. Cenk |
author_sort | Numanagić, Ibrahim |
collection | PubMed |
description | High-throughput sequencing provides the means to determine the allelic decomposition for any gene of interest—the number of copies and the exact sequence content of each copy of a gene. Although many clinically and functionally important genes are highly polymorphic and have undergone structural alterations, no high-throughput sequencing data analysis tool has yet been designed to effectively solve the full allelic decomposition problem. Here we introduce a combinatorial optimization framework that successfully resolves this challenging problem, including for genes with structural alterations. We provide an associated computational tool Aldy that performs allelic decomposition of highly polymorphic, multi-copy genes through using whole or targeted genome sequencing data. For a large diverse sequencing data set, Aldy identifies multiple rare and novel alleles for several important pharmacogenes, significantly improving upon the accuracy and utility of current genotyping assays. As more data sets become available, we expect Aldy to become an essential component of genotyping toolkits. |
format | Online Article Text |
id | pubmed-5826927 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58269272018-03-02 Allelic decomposition and exact genotyping of highly polymorphic and structurally variant genes Numanagić, Ibrahim Malikić, Salem Ford, Michael Qin, Xiang Toji, Lorraine Radovich, Milan Skaar, Todd C. Pratt, Victoria M. Berger, Bonnie Scherer, Steve Sahinalp, S. Cenk Nat Commun Article High-throughput sequencing provides the means to determine the allelic decomposition for any gene of interest—the number of copies and the exact sequence content of each copy of a gene. Although many clinically and functionally important genes are highly polymorphic and have undergone structural alterations, no high-throughput sequencing data analysis tool has yet been designed to effectively solve the full allelic decomposition problem. Here we introduce a combinatorial optimization framework that successfully resolves this challenging problem, including for genes with structural alterations. We provide an associated computational tool Aldy that performs allelic decomposition of highly polymorphic, multi-copy genes through using whole or targeted genome sequencing data. For a large diverse sequencing data set, Aldy identifies multiple rare and novel alleles for several important pharmacogenes, significantly improving upon the accuracy and utility of current genotyping assays. As more data sets become available, we expect Aldy to become an essential component of genotyping toolkits. Nature Publishing Group UK 2018-02-26 /pmc/articles/PMC5826927/ /pubmed/29483503 http://dx.doi.org/10.1038/s41467-018-03273-1 Text en © The Author(s) 2018 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 Numanagić, Ibrahim Malikić, Salem Ford, Michael Qin, Xiang Toji, Lorraine Radovich, Milan Skaar, Todd C. Pratt, Victoria M. Berger, Bonnie Scherer, Steve Sahinalp, S. Cenk Allelic decomposition and exact genotyping of highly polymorphic and structurally variant genes |
title | Allelic decomposition and exact genotyping of highly polymorphic and structurally variant genes |
title_full | Allelic decomposition and exact genotyping of highly polymorphic and structurally variant genes |
title_fullStr | Allelic decomposition and exact genotyping of highly polymorphic and structurally variant genes |
title_full_unstemmed | Allelic decomposition and exact genotyping of highly polymorphic and structurally variant genes |
title_short | Allelic decomposition and exact genotyping of highly polymorphic and structurally variant genes |
title_sort | allelic decomposition and exact genotyping of highly polymorphic and structurally variant genes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5826927/ https://www.ncbi.nlm.nih.gov/pubmed/29483503 http://dx.doi.org/10.1038/s41467-018-03273-1 |
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