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Massively parallel sequencing of 25 autosomal STRs including SE33 in four population groups for forensic applications

DC Field Value Language
dc.contributor.author신경진-
dc.contributor.author이은영-
dc.date.accessioned2021-04-29T17:20:47Z-
dc.date.available2021-04-29T17:20:47Z-
dc.date.issued2021-02-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/182296-
dc.description.abstractThe introduction of massively parallel sequencing (MPS) in forensic investigation enables sequence-based large-scale multiplexing beyond size-based analysis using capillary electrophoresis (CE). For the practical application of MPS to forensic casework, many population studies have provided sequence data for autosomal short tandem repeats (STRs). However, SE33, a highly polymorphic STR marker, has little sequence-based data because of difficulties in analysis. In this study, 25 autosomal STRs were analyzed, including SE33, using an in-house MPS panel for 350 samples from four populations (African-American, Caucasian, Hispanic, and Korean). The barcoded MPS library was generated using a two-step PCR method and sequenced using a MiSeq System. As a result, 99.88% genotype concordance was obtained between length- and sequence-based analyses. In SE33, the most discordances (eight samples, 0.08%) were observed because of the 4 bp deletion between the CE and MPS primer binding sites. Compared with the length-based CE method, the number of alleles increased from 332 to 725 (2.18-fold) for 25 autosomal STRs in the sequence-based MPS method. Notably, additional 129 unique alleles, a 4.15-fold increase, were detected in SE33 by identifying sequence variations. This population data set provides sequence variations and sequence-based allele frequencies for 25 autosomal STRs.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherNature Publishing Group-
dc.relation.isPartOfSCIENTIFIC REPORTS-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleMassively parallel sequencing of 25 autosomal STRs including SE33 in four population groups for forensic applications-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Forensic Medicine (법의학과)-
dc.contributor.googleauthorYe-Lim Kwon-
dc.contributor.googleauthorBo Min Kim-
dc.contributor.googleauthorEun Young Lee-
dc.contributor.googleauthorKyoung-Jin Shin-
dc.identifier.doi10.1038/s41598-021-82814-z-
dc.contributor.localIdA02085-
dc.contributor.localIdA03041-
dc.relation.journalcodeJ02646-
dc.identifier.eissn2045-2322-
dc.identifier.pmid33633141-
dc.contributor.alternativeNameShin, Kyoung Jin-
dc.contributor.affiliatedAuthor신경진-
dc.contributor.affiliatedAuthor이은영-
dc.citation.volume11-
dc.citation.number1-
dc.citation.startPage4701-
dc.identifier.bibliographicCitationSCIENTIFIC REPORTS, Vol.11(1) : 4701, 2021-02-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Forensic Medicine (법의학과) > 1. Journal Papers

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