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Improved STR analysis of degraded DNA from human skeletal remains through in-house MPS-STR panel

Authors
 Sohee Cho  ;  Kyoung-Jin Shin  ;  Su-Jin Bae  ;  Ye-Lim Kwon  ;  Soong Deok Lee 
Citation
 ELECTROPHORESIS, Vol.41(18~19) : 1600-1605, 2020-10 
Journal Title
 ELECTROPHORESIS 
ISSN
 0173-0835 
Issue Date
2020-10
Keywords
Autosomal STR ; Degraded DNA ; Human skeletal remains ; Massively parallel sequencing
Abstract
DNA analysis of degraded samples and low-copy number DNA derived from skeletal remains, one of the most challenging forensic tasks, is common in disaster victim identification and genetic analysis of historical materials. Massively parallel sequencing (MPS) is a useful technique for STR analysis that enables the sequencing of smaller amplicons compared with conventional capillary electrophoresis (CE), which is valuable for the analysis of degraded DNA. In this study, 92 samples of human skeletal remains (70+ years postmortem) were tested using an in-house MPS-STR system designed for the analysis of degraded DNA. Multiple intrinsic factors of DNA from skeletal remains that affect STR typing were assessed. The recovery of STR alleles was influenced more by DNA input amount for amplification rather than DNA degradation, which may be attributed from the high quantity and quality of libraries prepared for MPS run. In addition, the higher success rate of STR typing was achieved using the MPS-STR system compared with a commercial CE-STR system by providing smaller sized fragments for amplification. The results can provide constructive information for the analysis of degraded sample, and this MPS-STR system will contribute in forensic application with regard to skeletal remain sample investigation.
Full Text
https://onlinelibrary.wiley.com/doi/abs/10.1002/elps.202000070
DOI
10.1002/elps.202000070
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Forensic Medicine (법의학과) > 1. Journal Papers
Yonsei Authors
Bae, Sujin(배수진)
Shin, Kyoung Jin(신경진) ORCID logo https://orcid.org/0000-0002-1059-9665
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/180160
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