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      Replicative and non-replicative mechanisms in the formation of clustered CNVs are indicated by whole genome characterization

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          Abstract

          Clustered copy number variants (CNVs) as detected by chromosomal microarray analysis (CMA) are often reported as germline chromothripsis. However, such cases might need further investigations by massive parallel whole genome sequencing (WGS) in order to accurately define the underlying complex rearrangement, predict the occurrence mechanisms and identify additional complexities. Here, we utilized WGS to delineate the rearrangement structure of 21 clustered CNV carriers first investigated by CMA and identified a total of 83 breakpoint junctions (BPJs). The rearrangements were further sub-classified depending on the patterns observed: I) Cases with only deletions (n = 8) often had additional structural rearrangements, such as insertions and inversions typical to chromothripsis; II) cases with only duplications (n = 7) or III) combinations of deletions and duplications (n = 6) demonstrated mostly interspersed duplications and BPJs enriched with microhomology. In two cases the rearrangement mutational signatures indicated both a breakage-fusion-bridge cycle process and haltered formation of a ring chromosome. Finally, we observed two cases with Alu- and LINE-mediated rearrangements as well as two unrelated individuals with seemingly identical clustered CNVs on 2p25.3, possibly a rare European founder rearrangement.

          In conclusion, through detailed characterization of the derivative chromosomes we show that multiple mechanisms are likely involved in the formation of clustered CNVs and add further evidence for chromoanagenesis mechanisms in both “simple” and highly complex chromosomal rearrangements. Finally, WGS characterization adds positional information, important for a correct clinical interpretation and deciphering mechanisms involved in the formation of these rearrangements.

          Author summary

          Clustered copy number variants (CNVs) as detected by chromosomal microarray are often reported as germline chromoanagenesis. However, such cases might need further investigation by whole genome sequencing (WGS) to accurately resolve the complexity of the structural rearrangement and predict underlying mutational mechanisms. Here, we used WGS to characterize 83 breakpoint-junctions (BPJs) from 21 clustered CNVs, and outlined the rearrangement connectivity pictures. Cases with only deletions often had additional structural rearrangements, such as insertions and inversions, which could be a result of multiple double-strand DNA breaks followed by non-homologous repair, typical to chromothripsis. In contrast, cases with only duplications or combinations of deletions and duplications, demonstrated mostly interspersed duplications and BPJs enriched with microhomology, consistent with serial template switching during DNA replication (chromoanasynthesis). Only two rearrangements were repeat mediated. In aggregate, our results suggest that multiple CNVs clustered on a single chromosome may arise through either chromothripsis or chromoanasynthesis.

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          Most cited references37

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          Structural variation in the human genome.

          The first wave of information from the analysis of the human genome revealed SNPs to be the main source of genetic and phenotypic human variation. However, the advent of genome-scanning technologies has now uncovered an unexpectedly large extent of what we term 'structural variation' in the human genome. This comprises microscopic and, more commonly, submicroscopic variants, which include deletions, duplications and large-scale copy-number variants - collectively termed copy-number variants or copy-number polymorphisms - as well as insertions, inversions and translocations. Rapidly accumulating evidence indicates that structural variants can comprise millions of nucleotides of heterogeneity within every genome, and are likely to make an important contribution to human diversity and disease susceptibility.
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            A Microhomology-Mediated Break-Induced Replication Model for the Origin of Human Copy Number Variation

            Chromosome structural changes with nonrecurrent endpoints associated with genomic disorders offer windows into the mechanism of origin of copy number variation (CNV). A recent report of nonrecurrent duplications associated with Pelizaeus-Merzbacher disease identified three distinctive characteristics. First, the majority of events can be seen to be complex, showing discontinuous duplications mixed with deletions, inverted duplications, and triplications. Second, junctions at endpoints show microhomology of 2–5 base pairs (bp). Third, endpoints occur near pre-existing low copy repeats (LCRs). Using these observations and evidence from DNA repair in other organisms, we derive a model of microhomology-mediated break-induced replication (MMBIR) for the origin of CNV and, ultimately, of LCRs. We propose that breakage of replication forks in stressed cells that are deficient in homologous recombination induces an aberrant repair process with features of break-induced replication (BIR). Under these circumstances, single-strand 3′ tails from broken replication forks will anneal with microhomology on any single-stranded DNA nearby, priming low-processivity polymerization with multiple template switches generating complex rearrangements, and eventual re-establishment of processive replication.
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              A DNA replication mechanism for generating nonrecurrent rearrangements associated with genomic disorders.

              The prevailing mechanism for recurrent and some nonrecurrent rearrangements causing genomic disorders is nonallelic homologous recombination (NAHR) between region-specific low-copy repeats (LCRs). For other nonrecurrent rearrangements, nonhomologous end joining (NHEJ) is implicated. Pelizaeus-Merzbacher disease (PMD) is an X-linked dysmyelinating disorder caused most frequently (60%-70%) by nonrecurrent duplication of the dosage-sensitive proteolipid protein 1 (PLP1) gene but also by nonrecurrent deletion or point mutations. Many PLP1 duplication junctions are refractory to breakpoint sequence analysis, an observation inconsistent with a simple recombination mechanism. Our current analysis of junction sequences in PMD patients confirms the occurrence of simple tandem PLP1 duplications but also uncovers evidence for sequence complexity at some junctions. These data are consistent with a replication-based mechanism that we term FoSTeS, for replication Fork Stalling and Template Switching. We propose that complex duplication and deletion rearrangements associated with PMD, and potentially other nonrecurrent rearrangements, may be explained by this replication-based mechanism.
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                Author and article information

                Contributors
                Role: Formal analysisRole: InvestigationRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: MethodologyRole: SoftwareRole: Writing – review & editing
                Role: Formal analysisRole: Writing – review & editing
                Role: Formal analysisRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: ResourcesRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: ResourcesRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: ResourcesRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: ResourcesRole: Writing – review & editing
                Role: Formal analysisRole: ResourcesRole: Writing – review & editing
                Role: MethodologyRole: SoftwareRole: Writing – review & editing
                Role: Data curationRole: MethodologyRole: Writing – review & editing
                Role: Data curationRole: MethodologyRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: ResourcesRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: Writing – review & editing
                Role: ValidationRole: Writing – review & editing
                Role: ValidationRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: ResourcesRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: ResourcesRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, CA USA )
                1553-7390
                1553-7404
                12 November 2018
                November 2018
                : 14
                : 11
                : e1007780
                Affiliations
                [1 ] Wilhelm Johannsen Center for Functional Genome Research, Institute of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark
                [2 ] Department of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institute, Stockholm, Sweden
                [3 ] Science for Life Laboratory, Karolinska Institutet Science Park, Solna, Sweden
                [4 ] Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
                [5 ] Department of Clinical Genetics, Sahlgrenska University Hospital, Gothenburg, Sweden
                [6 ] Department of Clinical Genetics, Linköping University Hospital, Linköping, Sweden
                [7 ] Children’s Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
                [8 ] Folkhälsan Institute of Genetics, Helsinki, Finland
                [9 ] SciLifeLab, Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden
                [10 ] SciLifeLab, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden
                [11 ] SciLifeLab, Department of Microbiology, Tumor and Cell biology, Karolinska Institutet, Stockholm, Sweden
                [12 ] Kennedy Center, Department of Clinical Genetics, Copenhagen University Hospital, Rigshospitalet, Glostrup, Denmark
                [13 ] Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
                University of Pennsylvania, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                [¤]

                Current address: Devyser AB, Instrumentvägen 19, Hägersten, Sweden

                Author information
                http://orcid.org/0000-0003-3716-4917
                http://orcid.org/0000-0003-3120-1625
                http://orcid.org/0000-0001-5831-385X
                http://orcid.org/0000-0002-1431-7792
                http://orcid.org/0000-0002-4547-001X
                http://orcid.org/0000-0003-3811-5439
                http://orcid.org/0000-0001-6813-3051
                http://orcid.org/0000-0003-2304-0112
                http://orcid.org/0000-0001-5692-725X
                http://orcid.org/0000-0003-0806-5602
                Article
                PGENETICS-D-18-01290
                10.1371/journal.pgen.1007780
                6258378
                30419018
                1767f9c2-1b53-497c-addb-bf3be8016403
                © 2018 Nazaryan-Petersen et al

                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 credited.

                History
                : 25 June 2018
                : 23 October 2018
                Page count
                Figures: 4, Tables: 3, Pages: 25
                Funding
                Funded by: SciLifeLab national sequencing projects grant
                Award Recipient :
                Funded by: the Swedish Research Council
                Award ID: [2013-2603, 2017-02936]
                Award Recipient :
                Funded by: the Swedish Society for Medical Research big grant
                Award Recipient :
                Funded by: the Marianne and Marcus Wallenberg foundation
                Award ID: [2014.0084]
                Award Recipient :
                Funded by: the Stockholm City Council
                Award Recipient :
                Funded by: the Ulf Lundahl memory fund through the Swedish Brain Foundation
                Award Recipient :
                Funded by: the Erik Rönnberg Foundation and the Danish Council for Independent Research
                Award Recipient :
                Funded by: the Danish Council for Independent Research - Medical Sciences
                Award ID: [4183-00482B]
                Award Recipient :
                This work was supported by the SciLifeLab national sequencing projects grant; the Swedish Research Council [2013-2603, 2017-02936]; the Swedish Society for Medical Research big grant; the Marianne and Marcus Wallenberg foundation [2014.0084]; the Stockholm City Council; the Ulf Lundahl memory fund through the Swedish Brain Foundation; the Erik Rönnberg Foundation and the Danish Council for Independent Research; the Danish Council for Independent Research - Medical Sciences [4183-00482B]. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript
                Categories
                Research Article
                Biology and Life Sciences
                Cell Biology
                Chromosome Biology
                Chromosomal Aberrations
                Chromosomal Duplications
                Biology and Life Sciences
                Cell Biology
                Chromosome Biology
                Chromosomal Aberrations
                Chromosomal Deletions
                Research and Analysis Methods
                Bioassays and Physiological Analysis
                Microarrays
                Biology and Life Sciences
                Computational Biology
                Genome Complexity
                Biology and Life Sciences
                Genetics
                Genomics
                Genome Complexity
                Biology and life sciences
                Genetics
                DNA
                DNA repair
                Non-Homologous End Joining
                Biology and life sciences
                Biochemistry
                Nucleic acids
                DNA
                DNA repair
                Non-Homologous End Joining
                Biology and life sciences
                Genetics
                DNA
                DNA repair
                Microhomology-Mediated End Joining
                Biology and life sciences
                Biochemistry
                Nucleic acids
                DNA
                DNA repair
                Microhomology-Mediated End Joining
                Biology and Life Sciences
                Computational Biology
                Genome Analysis
                Genomic Libraries
                Biology and Life Sciences
                Genetics
                Genomics
                Genome Analysis
                Genomic Libraries
                Biology and Life Sciences
                Molecular Biology
                Molecular Biology Techniques
                Sequencing Techniques
                Genome Sequencing
                Research and Analysis Methods
                Molecular Biology Techniques
                Sequencing Techniques
                Genome Sequencing
                Custom metadata
                vor-update-to-uncorrected-proof
                2018-11-26
                The bam files of all the sequenced samples indicating SVs are deposited in European Nucleotide Archive (ENA), ( S4 Table). Patients’ CNV data are reported to ClinVar (P2046_133, P2109_123, P2109_150, P2109_151, P2109_162, P2109_188, P2109_190, P2109_302, P4855_511, P4855_512, P2109_176, P1426_301, P2109_185, P5513_206, P5513_116, P5371_204) or to DECIPHER (P72, P81, P06, P74, P00). The details of in-house developed analysis tool dubbed SplitVision is provided in S1 Appendix ( https://github.com/J35P312/SplitVision).

                Genetics
                Genetics

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