Mako: a graph-based pattern growth approach to detect complex structural variants
bioRxiv (Cold Spring Harbor Laboratory)
Abstract
Abstract Complex structural variants (CSVs) are genomic alterations that have more than two breakpoints and are considered as simultaneous occurrence of simple structural variants. However, detecting the compounded mutational signals of CSVs is challenging through a commonly used model-match strategy. As a result, there has been limited progress for CSV discovery compared with simple structural variants. We systematically analyzed the multi-breakpoint connection feature of CSVs, and proposed Mako, utilizing a bottom-up guided model-free strategy, to detect CSVs from paired-end short-read sequencing. Specifically, we implemented a graph-based pattern growth approach, where the graph depicts potential breakpoint connections and pattern growth enables CSV detection without predefined models. Comprehensive evaluations on both simulated and real datasets revealed that Mako outperformed other algorithms. Notably, validation rates of CSV on real data based on experimental and computational validations as well as manual inspections are around 70%, where the medians of experimental and computational breakpoint shift are 13bp and 26bp, respectively. Moreover, Mako CSV subgraph effectively characterized the breakpoint connections of a CSV event and uncovered a total of 15 CSV types, including two novel types of adjacent segments swap and tandem dispersed duplication. Further analysis of these CSVs also revealed impact of sequence homology in the formation of CSVs. Mako is publicly available at https://github.com/jiadong324/Mako .
Authors 14
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Jiadong Lin Aachen Leiden Institute of Advanced Computer Science Faculty of Science, Leiden University
Leiden University · First Affiliated Hospital of Xi'an Jiaotong University · Xi'an Jiaotong University
Affiliation as printed
Genome Institute, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, 710061 China
Leiden Institute of Advanced Computer Science, Faculty of Science, Leiden University, Leiden, Netherland
MOE Key Lab for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, 710049 China
School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, 710049 China
Genome Institute, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061 China
MOE Key Lab for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, 710049 China
School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, 70049 China
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Affiliation as printed
MOE Key Lab for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, 710049 China
School of Computer Science and Technology, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, 710049 China
MOE Key Lab for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, 710049 China
School of Computer Science and Technology, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, 710049 China
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Walter A. Kosters Aachen Leiden Institute of Advanced Computer Science Faculty of Science, Leiden University
Affiliation as printed
Leiden Institute of Advanced Computer Science, Faculty of Science, Leiden University, Leiden, Netherland
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Affiliation as printed
School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, 710049 China
School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, 70049 China
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Affiliation as printed
School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, 710049 China
School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, 70049 China
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Affiliation as printed
School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, 710049 China
School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, 70049 China
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The Jackson Laboratory for Genomic Medicine
Affiliation as printed
The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032
The Jackson Laboratory for Genomic Medicine, Farmington, CT 0032
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The Jackson Laboratory for Genomic Medicine
Affiliation as printed
The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032
The Jackson Laboratory for Genomic Medicine, Farmington, CT 0032
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Affiliation as printed
Consortium authors are enumerated at the end of this document
MOE Key Lab for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, 710049 China
MOE Key Lab for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, 710049 China
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First Affiliated Hospital of Xi'an Jiaotong University · The Jackson Laboratory for Genomic Medicine
Affiliation as printed
Precision Medicine Center, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, 710061 China
The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032
Precision Medicine Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 10061 China
The Jackson Laboratory for Genomic Medicine, Farmington, CT 0032
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First Affiliated Hospital of Xi'an Jiaotong University · The Jackson Laboratory for Genomic Medicine
Affiliation as printed
Precision Medicine Center, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, 10061 China
The Jackson Laboratory for Genomic Medicine, Farmington, CT 0032
Precision Medicine Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 10061 China
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University of Maryland, Baltimore · Xi'an Jiaotong University
Affiliation as printed
Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, USA
School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, 70049 China
School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, 70049 China
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Howard Hughes Medical Institute · University of Washington
Affiliation as printed
Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98119-5065, USA
Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA
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Kai Ye corresponding
First Affiliated Hospital of Xi'an Jiaotong University · Xi'an Jiaotong University
Affiliation as printed
Genome Institute, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, 710061 China
MOE Key Lab for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, 710049 China
School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, 70049 China
The School of Life Science and Technology, Xi’an Jiaotong University, Xi’an, 710049 China
Genome Institute, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061 China
MOE Key Lab for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, 710049 China
School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, 70049 China
The School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049 China
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