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Short tandem repeat stutter model inferred from direct measurement of in vitro stutter noise
Short tandem repeats (STRs) are polymorphic genomic loci valuable for various applications such as research, diagnostics and forensics. However, their polymorphic nature also introduces noise during in vitro amplification, making them difficult to analyze. Although it is possible to overcome stutter...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412005/ https://www.ncbi.nlm.nih.gov/pubmed/30698816 http://dx.doi.org/10.1093/nar/gky1318 |
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author | Raz, Ofir Biezuner, Tamir Spiro, Adam Amir, Shiran Milo, Lilach Titelman, Alon Onn, Amos Chapal-Ilani, Noa Tao, Liming Marx, Tzipy Feige, Uriel Shapiro, Ehud |
author_facet | Raz, Ofir Biezuner, Tamir Spiro, Adam Amir, Shiran Milo, Lilach Titelman, Alon Onn, Amos Chapal-Ilani, Noa Tao, Liming Marx, Tzipy Feige, Uriel Shapiro, Ehud |
author_sort | Raz, Ofir |
collection | PubMed |
description | Short tandem repeats (STRs) are polymorphic genomic loci valuable for various applications such as research, diagnostics and forensics. However, their polymorphic nature also introduces noise during in vitro amplification, making them difficult to analyze. Although it is possible to overcome stutter noise by using amplification-free library preparation, such protocols are presently incompatible with single cell analysis and with targeted-enrichment protocols. To address this challenge, we have designed a method for direct measurement of in vitro noise. Using a synthetic STR sequencing library, we have calibrated a Markov model for the prediction of stutter patterns at any amplification cycle. By employing this model, we have managed to genotype accurately cases of severe amplification bias, and biallelic STR signals, and validated our model for several high-fidelity PCR enzymes. Finally, we compared this model in the context of a naïve STR genotyping strategy against the state-of-the-art on a benchmark of single cells, demonstrating superior accuracy. |
format | Online Article Text |
id | pubmed-6412005 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-64120052019-03-18 Short tandem repeat stutter model inferred from direct measurement of in vitro stutter noise Raz, Ofir Biezuner, Tamir Spiro, Adam Amir, Shiran Milo, Lilach Titelman, Alon Onn, Amos Chapal-Ilani, Noa Tao, Liming Marx, Tzipy Feige, Uriel Shapiro, Ehud Nucleic Acids Res Genomics Short tandem repeats (STRs) are polymorphic genomic loci valuable for various applications such as research, diagnostics and forensics. However, their polymorphic nature also introduces noise during in vitro amplification, making them difficult to analyze. Although it is possible to overcome stutter noise by using amplification-free library preparation, such protocols are presently incompatible with single cell analysis and with targeted-enrichment protocols. To address this challenge, we have designed a method for direct measurement of in vitro noise. Using a synthetic STR sequencing library, we have calibrated a Markov model for the prediction of stutter patterns at any amplification cycle. By employing this model, we have managed to genotype accurately cases of severe amplification bias, and biallelic STR signals, and validated our model for several high-fidelity PCR enzymes. Finally, we compared this model in the context of a naïve STR genotyping strategy against the state-of-the-art on a benchmark of single cells, demonstrating superior accuracy. Oxford University Press 2019-03-18 2019-01-30 /pmc/articles/PMC6412005/ /pubmed/30698816 http://dx.doi.org/10.1093/nar/gky1318 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Genomics Raz, Ofir Biezuner, Tamir Spiro, Adam Amir, Shiran Milo, Lilach Titelman, Alon Onn, Amos Chapal-Ilani, Noa Tao, Liming Marx, Tzipy Feige, Uriel Shapiro, Ehud Short tandem repeat stutter model inferred from direct measurement of in vitro stutter noise |
title | Short tandem repeat stutter model inferred from direct measurement of in vitro stutter noise |
title_full | Short tandem repeat stutter model inferred from direct measurement of in vitro stutter noise |
title_fullStr | Short tandem repeat stutter model inferred from direct measurement of in vitro stutter noise |
title_full_unstemmed | Short tandem repeat stutter model inferred from direct measurement of in vitro stutter noise |
title_short | Short tandem repeat stutter model inferred from direct measurement of in vitro stutter noise |
title_sort | short tandem repeat stutter model inferred from direct measurement of in vitro stutter noise |
topic | Genomics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412005/ https://www.ncbi.nlm.nih.gov/pubmed/30698816 http://dx.doi.org/10.1093/nar/gky1318 |
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