Building a custom large-scale panel of novel microhaplotypes for forensic identification using MiSeq and Ion S5 massively parallel sequencing systems

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Ciencias Forenses, Anatomía Patolóxica, Xinecoloxía e Obstetricia, e Pediatríagl
dc.contributor.authorPuente Vila, María del Carmen de la
dc.contributor.authorPhillips, Christopher Paul
dc.contributor.authorXavier, Catarina
dc.contributor.authorAmigo Lechuga, Jorge
dc.contributor.authorCarracedo Álvarez, Ángel
dc.contributor.authorParson, Walther
dc.contributor.authorLareu Huidobro, María Victoria
dc.date.accessioned2021-01-19T14:54:45Z
dc.date.available2021-01-19T14:54:45Z
dc.date.issued2020
dc.description.abstractA large number of new microhaplotype loci were identified in the human genome by applying a directed search with selection criteria emphasizing short haplotype length (<120 nucleotides) and maximum levels of polymorphism in the composite SNPs. From these searches, 107 autosomal microhaplotypes and 11 X chromosome microhaplotypes were selected, with well-spaced autosomal positions to ensure their independence in relationship tests. The 118 microhaplotypes were assembled into a single multiplex assay for the analysis of forensic DNA with massively parallel sequencing (MPS). A single AmpliSeq-adapted primer set was made for Illumina MiSeq and Thermo Fisher Ion S5 MPS platforms and the performance of the assay was comprehensively evaluated in both systems. Five microhaplotypes showed critical sequencing failures in both MPS platforms and were removed, while a further 13 required manual checks and the application of sequence quality thresholds in one or both systems to ensure the successful analysis of low-level DNA in these loci. The targeting of short microhaplotype spans during marker selection, with an average length of 51 nucleotides in the 118 loci, led to a high level of sensitivity for the panel when sequencing the very degraded DNA typically encountered in forensic casework and the identification of missing personsgl
dc.description.peerreviewedSIgl
dc.description.sponsorshipThe studies reported and authors MdlP, CP, MVL are supported by MAPA: Multiple Allele Polymorphism Analysis (BIO2016-78525-R), a research project funded by the Spanish Research State Agency (AEI), and co-financed with ERDF funds. MdlP is supported by a postdoctoral fellowship awarded by the Consellería de Cultura, Educación e Ordenación Universitaria and the Consellería de Economía, Emprego e Industria of the Xunta de Galicia (ED481B 2017/088). The studies reported have received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 740580 within the framework of the Visible Attributes Through Genomics (VISAGE) Project and Consortiumgl
dc.identifier.citationForensic Science International: Genetics, Volume 45, March 2020, 102213gl
dc.identifier.doi10.1016/j.fsigen.2019.102213
dc.identifier.issn1872-4973
dc.identifier.urihttp://hdl.handle.net/10347/24244
dc.language.isoenggl
dc.publisherElseviergl
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/740580
dc.relation.publisherversionhttps://doi.org/10.1016/j.fsigen.2019.102213gl
dc.rights© 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/)gl
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.rights.accessRightsopen accessgl
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectMicrohaplotypesgl
dc.subjectSNPsgl
dc.subjectMassively parallel sequencinggl
dc.subjectMPSgl
dc.subjectMiSeqgl
dc.subjectIon S5gl
dc.subjectMixed DNAgl
dc.titleBuilding a custom large-scale panel of novel microhaplotypes for forensic identification using MiSeq and Ion S5 massively parallel sequencing systemsgl
dc.typejournal articlegl
dc.type.hasVersionVoRgl
dspace.entity.typePublication
relation.isAuthorOfPublication01f310f5-a326-4d6e-9656-0034b67a41a0
relation.isAuthorOfPublication82cda0bc-af07-4524-9c5e-2761614a82c5
relation.isAuthorOfPublication50e24b5d-7ecd-4ec6-a7b6-7c13b54c370c
relation.isAuthorOfPublication.latestForDiscovery01f310f5-a326-4d6e-9656-0034b67a41a0

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