Literature DB >> 28078776

Performance of the ForenSeqTM DNA Signature Prep kit on highly degraded samples.

Paolo Fattorini1, Carlo Previderé2, Ilaria Carboni3, Giorgio Marrubini4, Solange Sorçaburu-Cigliero1, Pierangela Grignani2, Barbara Bertoglio2, Paolo Vatta5, Ugo Ricci3.   

Abstract

Next generation sequencing (NGS) is the emerging technology in forensic genomics laboratories. It offers higher resolution to address most problems of human identification, greater efficiency and potential ability to interrogate very challenging forensic casework samples. In this study, a trial set of DNA samples was artificially degraded by progressive aqueous hydrolysis, and analyzed together with the corresponding unmodified DNA sample and control sample 2800 M, to test the performance and reliability of the ForenSeqTM DNA Signature Prep kit using the MiSeq Sequencer (Illumina). The results of replicate tests performed on the unmodified sample (1.0 ng) and on scalar dilutions (1.0, 0.5 and 0.1 ng) of the reference sample 2800 M showed the robustness and the reliability of the NGS approach even from sub-optimal amounts of high quality DNA. The degraded samples showed a very limited number of reads/sample, from 2.9-10.2 folds lower than the ones reported for the less concentrated 2800 M DNA dilution (0.1 ng). In addition, it was impossible to assign up to 78.2% of the genotypes in the degraded samples as the software identified the corresponding loci as "low coverage" (< 50x). Amplification artifacts such as allelic imbalances, allele drop outs and a single allele drop in were also scored in the degraded samples. However, the ForenSeqTM DNA Sequencing kit, on the Illumina MiSeq, was able to generate data which led to the correct typing of 5.1-44.8% and 10.9-58.7% of 58 of the STRs and 92 SNPs, respectively. In all trial samples, the SNP markers showed higher chances to be typed correctly compared to the STRs. This NGS approach showed very promising results in terms of ability to recover genetic information from heavily degraded DNA samples for which the conventional PCR/CE approach gave no results. The frequency of genetic mistyping was very low, reaching the value of 1.4% for only one of the degraded samples. However, these results suggest that further validation studies and a definition of interpretation criteria for NGS data are needed before implementation of this technique in forensic genetics.
© 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  DNA degradation; Forensic genetics; Next generation sequencing

Mesh:

Substances:

Year:  2017        PMID: 28078776     DOI: 10.1002/elps.201600290

Source DB:  PubMed          Journal:  Electrophoresis        ISSN: 0173-0835            Impact factor:   3.535


  11 in total

1.  As solid as a rock-comparison of CE- and MPS-based analyses of the petrosal bone as a source of DNA for forensic identification of challenging cranial bones.

Authors:  Galina Kulstein; Thorsten Hadrys; Peter Wiegand
Journal:  Int J Legal Med       Date:  2017-07-28       Impact factor: 2.686

2.  Massively parallel sequencing analysis of nondegraded and degraded DNA mixtures using the ForenSeq™ system in combination with EuroForMix software.

Authors:  Hsiao-Lin Hwa; Ming-Yih Wu; Wan-Chia Chung; Tsang-Ming Ko; Chih-Peng Lin; Hsiang-I Yin; Tsui-Ting Lee; James Chun-I Lee
Journal:  Int J Legal Med       Date:  2018-10-29       Impact factor: 2.686

3.  The forensic landscape and the population genetic analyses of Hainan Li based on massively parallel sequencing DNA profiling.

Authors:  Haoliang Fan; Zhengming Du; Fenfen Wang; Xiao Wang; Shao-Qing Wen; Lingxiang Wang; Panxin Du; Hai Liu; Shengping Cao; Zhenming Luo; Bingbing Han; Peiyu Huang; Bofeng Zhu; Pingming Qiu
Journal:  Int J Legal Med       Date:  2021-04-13       Impact factor: 2.686

4.  Concordance and characterization of massively parallel sequencing at 58 STRs in a Tibetan population.

Authors:  Hui Li; Cheng Zhang; Guoqing Song; Ke Ma; Yu Cao; Xueying Zhao; Qinrui Yang; Jianhui Xie
Journal:  Mol Genet Genomic Med       Date:  2021-02-25       Impact factor: 2.183

5.  Investigation of the STR loci noise distributions of PowerSeq™ Auto System.

Authors:  Xiangpei Zeng; Jonathan L King; Bruce Budowle
Journal:  Croat Med J       Date:  2017-06-14       Impact factor: 1.351

6.  Evaluation of the VISAGE Basic Tool for Appearance and Ancestry Prediction Using PowerSeq Chemistry on the MiSeq FGx System.

Authors:  Leire Palencia-Madrid; Catarina Xavier; María de la Puente; Carsten Hohoff; Christopher Phillips; Manfred Kayser; Walther Parson
Journal:  Genes (Basel)       Date:  2020-06-26       Impact factor: 4.096

7.  Sequence Variations of 31 Υ-Chromosomal Short Tandem Repeats Analyzed by Massively Parallel Sequencing in Three U.S. Population Groups and Korean Population.

Authors:  Mi Hyeon Moon; Sae Rom Hong; Kyoung-Jin Shin
Journal:  J Korean Med Sci       Date:  2022-02-14       Impact factor: 2.153

8.  Validation and beyond: Next generation sequencing of forensic casework samples including challenging tissue samples from altered human corpses using the MiSeq FGx system.

Authors:  Alina Senst; Amke Caliebe; Eva Scheurer; Iris Schulz
Journal:  J Forensic Sci       Date:  2022-03-22       Impact factor: 1.717

9.  Identification of sequence polymorphisms at 58 STRs and 94 iiSNPs in a Tibetan population using massively parallel sequencing.

Authors:  Dan Peng; Yinming Zhang; Han Ren; Haixia Li; Ran Li; Xuefeng Shen; Nana Wang; Erwen Huang; Riga Wu; Hongyu Sun
Journal:  Sci Rep       Date:  2020-07-22       Impact factor: 4.379

10.  Inter-laboratory study on standardized MPS libraries: evaluation of performance, concordance, and sensitivity using mixtures and degraded DNA.

Authors:  Petra Müller; Christian Sell; Thorsten Hadrys; Johannes Hedman; Steffi Bredemeyer; Francois-Xavier Laurent; Lutz Roewer; Sabrina Achtruth; Maja Sidstedt; Titia Sijen; Marc Trimborn; Natalie Weiler; Sascha Willuweit; Ingo Bastisch; Walther Parson
Journal:  Int J Legal Med       Date:  2019-11-19       Impact factor: 2.686

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.