Abstract

Despite improvements in genomics technology, the detection of structural variants (SVs) from short-read sequencing still poses challenges, particularly for complex variation. Here we analyse the genomes of two patients with congenital abnormalities using the MinION nanopore sequencer and a novel computational pipeline—NanoSV. We demonstrate that nanopore long reads are superior to short reads with regard to detection of de novo chromothripsis rearrangements. The long reads also enable efficient phasing of genetic variations, which we leveraged to determine the parental origin of all de novo chromothripsis breakpoints and to resolve the structure of these complex rearrangements. Additionally, genome-wide surveillance of inherited SVs reveals novel variants, missed in short-read data sets, a large proportion of which are retrotransposon insertions. We provide a first exploration of patient genome sequencing with a nanopore sequencer and demonstrate the value of long-read sequencing in mapping and phasing of SVs for both clinical and research applications.

Details

Title
Mapping and phasing of structural variation in patient genomes using nanopore sequencing
Author
Mircea Cretu Stancu 1 ; van Roosmalen, Markus J 1 ; Renkens, Ivo 1 ; Nieboer, Marleen M 1 ; Middelkamp, Sjors 1 ; de Ligt, Joep 1   VIAFID ORCID Logo  ; Pregno, Giulia 2 ; Giachino, Daniela 2   VIAFID ORCID Logo  ; Mandrile, Giorgia 2 ; Jose Espejo Valle-Inclan 1 ; Korzelius, Jerome 1 ; Ewart de Bruijn 1 ; Cuppen, Edwin 3 ; Talkowski, Michael E 4 ; Marschall, Tobias 5   VIAFID ORCID Logo  ; de Ridder, Jeroen 1 ; Kloosterman, Wigard P 1 

 Department of Genetics, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands 
 Medical Genetics Unit, Department of Clinical and Biological Sciences, University of Torino, Orbassano, Italy 
 Department of Genetics and Cancer Genomics, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands 
 Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA; Program in Population and Medical Genetics and Stanley Center for Psychiatric Research, The Broad Institute of M.I.T. and Harvard, Cambridge, MA, USA 
 Center for Bioinformatics, Saarland University, Saarbrücken, Germany; Max Planck Institute for Informatics, Saarbrücken, Germany 
Pages
1-13
Publication year
2017
Publication date
Nov 2017
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1961026276
Copyright
© 2017. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.