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Performance Comparison between Rapid Sequencing Platforms for Ultra-Low Coverage Sequencing Strategy

Ultra-low coverage sequencing (ULCS) is one of the most promising strategies for sequencing based clinical application. These clinical applications, especially prenatal diagnosis, have a strict requirement of turn-around-time; therefore, the application of ULCS is restricted by current high throughp...

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Autores principales: Chen, Shengpei, Li, Sheng, Xie, Weiwei, Li, Xuchao, Zhang, Chunlei, Jiang, Haojun, Zheng, Jing, Pan, Xiaoyu, Zheng, Hancheng, Liu, Jia Sophie, Deng, Yongqiang, Chen, Fang, Jiang, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3961333/
https://www.ncbi.nlm.nih.gov/pubmed/24651575
http://dx.doi.org/10.1371/journal.pone.0092192
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author Chen, Shengpei
Li, Sheng
Xie, Weiwei
Li, Xuchao
Zhang, Chunlei
Jiang, Haojun
Zheng, Jing
Pan, Xiaoyu
Zheng, Hancheng
Liu, Jia Sophie
Deng, Yongqiang
Chen, Fang
Jiang, Hui
author_facet Chen, Shengpei
Li, Sheng
Xie, Weiwei
Li, Xuchao
Zhang, Chunlei
Jiang, Haojun
Zheng, Jing
Pan, Xiaoyu
Zheng, Hancheng
Liu, Jia Sophie
Deng, Yongqiang
Chen, Fang
Jiang, Hui
author_sort Chen, Shengpei
collection PubMed
description Ultra-low coverage sequencing (ULCS) is one of the most promising strategies for sequencing based clinical application. These clinical applications, especially prenatal diagnosis, have a strict requirement of turn-around-time; therefore, the application of ULCS is restricted by current high throughput sequencing platforms. Recently, the emergence of rapid sequencing platforms, such as MiSeq and Ion Proton, brings ULCS strategy into a new era. The comparison of their performance could shed lights on their potential application in large-scale clinic trials. In this study, we performed ULCS (<0.1X coverage) on both MiSeq and Ion Proton platforms for 18 spontaneous abortion fetuses carrying aneuploidy and compared their performance on different levels. Overall basic data and GC bias showed no significant difference between these two platforms. We also found the sex and aneuploidy detection indicated 100% sensitivity and 100% specificity on both platforms. Our study generated essential data from these two rapid sequencing platforms, which provides useful reference for later research and potentially accelerates the clinical applications of ULCS.
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spelling pubmed-39613332014-03-24 Performance Comparison between Rapid Sequencing Platforms for Ultra-Low Coverage Sequencing Strategy Chen, Shengpei Li, Sheng Xie, Weiwei Li, Xuchao Zhang, Chunlei Jiang, Haojun Zheng, Jing Pan, Xiaoyu Zheng, Hancheng Liu, Jia Sophie Deng, Yongqiang Chen, Fang Jiang, Hui PLoS One Research Article Ultra-low coverage sequencing (ULCS) is one of the most promising strategies for sequencing based clinical application. These clinical applications, especially prenatal diagnosis, have a strict requirement of turn-around-time; therefore, the application of ULCS is restricted by current high throughput sequencing platforms. Recently, the emergence of rapid sequencing platforms, such as MiSeq and Ion Proton, brings ULCS strategy into a new era. The comparison of their performance could shed lights on their potential application in large-scale clinic trials. In this study, we performed ULCS (<0.1X coverage) on both MiSeq and Ion Proton platforms for 18 spontaneous abortion fetuses carrying aneuploidy and compared their performance on different levels. Overall basic data and GC bias showed no significant difference between these two platforms. We also found the sex and aneuploidy detection indicated 100% sensitivity and 100% specificity on both platforms. Our study generated essential data from these two rapid sequencing platforms, which provides useful reference for later research and potentially accelerates the clinical applications of ULCS. Public Library of Science 2014-03-20 /pmc/articles/PMC3961333/ /pubmed/24651575 http://dx.doi.org/10.1371/journal.pone.0092192 Text en © 2014 Chen et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Chen, Shengpei
Li, Sheng
Xie, Weiwei
Li, Xuchao
Zhang, Chunlei
Jiang, Haojun
Zheng, Jing
Pan, Xiaoyu
Zheng, Hancheng
Liu, Jia Sophie
Deng, Yongqiang
Chen, Fang
Jiang, Hui
Performance Comparison between Rapid Sequencing Platforms for Ultra-Low Coverage Sequencing Strategy
title Performance Comparison between Rapid Sequencing Platforms for Ultra-Low Coverage Sequencing Strategy
title_full Performance Comparison between Rapid Sequencing Platforms for Ultra-Low Coverage Sequencing Strategy
title_fullStr Performance Comparison between Rapid Sequencing Platforms for Ultra-Low Coverage Sequencing Strategy
title_full_unstemmed Performance Comparison between Rapid Sequencing Platforms for Ultra-Low Coverage Sequencing Strategy
title_short Performance Comparison between Rapid Sequencing Platforms for Ultra-Low Coverage Sequencing Strategy
title_sort performance comparison between rapid sequencing platforms for ultra-low coverage sequencing strategy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3961333/
https://www.ncbi.nlm.nih.gov/pubmed/24651575
http://dx.doi.org/10.1371/journal.pone.0092192
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