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Short-read, high-throughput sequencing technology for STR genotyping
Open accessAbstract
DNA-based methods for human identification principally rely upon genotyping of short tandem repeat (STR) loci. Electrophoretic-based techniques for variable-length classification of STRs are universally utilized, but are limited in that they have relatively low throughput and do not yield nucleotide sequence information. High-throughput sequencing technology may provide a more powerful instrument for human identification, but is not currently validated for forensic casework. Here, we present a systematic method to perform high-throughput genotyping analysis of the Combined DNA Index System (CODIS) STR loci using short-read (150 bp) massively parallel sequencing technology. Open source reference alignment tools were optimized to evaluate PCR-amplified STR loci using a custom designed STR genome reference. Evaluation of this approach demonstrated that the 13 CODIS STR loci and amelogenin (AMEL) locus could be accurately called from individual and mixture samples. Sensitivity analysis showed that as few as 18,500 reads, aligned to an in silico referenced genome, were required to genotype an individual (>99% confidence) for the CODIS loci. The power of this technology was further demonstrated by identification of variant alleles containing single nucleotide polymorphisms (SNPs) and the development of quantitative measurements (reads) for resolving mixed samples.
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STR-NGS profiling has several advantages over the conventional method, including high throughput, low cost when running many samples, flexibility with which STR loci to include, quantitative measurements for mixed samples and high resolution for SNPs.
“NGS-based STR (STR-NGS) profiling has several advantages over the conventional method, including high throughput, low cost when running many samples, flexibility with which STR loci to include, quantitative measurements for mixed samples and high resolution for single-nucleotide polymorphisms (SNPs) (Bornman et al., 2012; Shin et al., 2017).”
From Short tandem repeat profiling via next-generation sequencing for cell line authentication (2023) · cites this paper as Bornman et al., 2012
Although NGS has been implemented for human identification in forensic genetics, retroactive analysis of whole-genome sequencing and long-read sequencing, cell line authentication has been limited to STR-CE.
“Although NGS has been implemented for human identification in forensic genetics, retroactive analysis of whole-genome sequencing and long-read sequencing (Bornman et al., 2012; Børsting and Morling, 2015; Valle-Silva et al., 2022), cell line authentication has been limited to STR-CE.”
From Short tandem repeat profiling via next-generation sequencing for cell line authentication (2023) · cites this paper as Bornman et al., 2012
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Fordyce, S. L., Mogensen, H. S., Børsting, C., Lagacé, R. E., Chang, C.-W., Rajagopalan, N., & Morling, N. (2015) · Forensic Science International Genetics · doi:10.1016/j.fsigen.2014.09.020 · Cited by 112
Shin, G., Grimes, S. M., Lee, H., Lau, B. T., Xia, L. C., & Ji, H. P. (2017) · Nature Communications · doi:10.1038/ncomms14291 · Cited by 54
Valle-Silva, G., Frontanilla, T. S., Ayala, J., Donadi, E. A., Simões, A. L., Castelli, E. C., & Mendes-Junior, C. T. (2022) · Forensic Science International Genetics · doi:10.1016/j.fsigen.2022.102676 · Cited by 13
Short tandem repeat profiling via next-generation sequencing for cell line authentication
Chen, Y.-H., Connelly, J. P., Florian, C., Cui, X., & Pruett-Miller, S. M. (2023) · Disease Models & Mechanisms · doi:10.1242/dmm.050150 · Cited by 10
“…advantages over the conventional method, including high throughput, low cost when running many samples, flexibility with which STR loci to include, quantitative measurements for mixed samples and high resolution for single-nucleotide polymorphisms (SNPs) (Bornman et al., 2012; Shin et al., 2017).”
Metadata
- Authors
- Bornman, D., Hester, M., Schuetter, J., Kasoji, M., Minard-Smith, A., Barden, C., Nelson, S., Godbold, G., Baker, C., Yang, B., Walther, J., Tornes, I., Yan, P., Rodriguez, B., Bundschuh, R., Dickens, M., Young, B., & Faith, S.
- Affiliations
- Battelle (US)
- The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute (US)
- The Ohio State University (US)
- ORCID
- Venue
- BioTechniques
- Publisher
- Informa UK Limited
- Published
- 2012-04
- Volume
- 2012
- Pages
- 1-6
- ISSN
- 0736-6205 (ISSN-L)
- 1940-9818
- PMC
- PMC4301848
- OpenAlex
- W2321984718
- Cited by
- 93
- References
- 0
- Citations by year
- 2026: 1 · 2024: 4 · 2023: 7 · 2022: 7 · 2021: 5 · 2020: 4 · 2019: 3 · 2018: 8 · 2017: 9 · 2016: 14 · 2015: 10 · 2014: 17 · 2013: 4
- FWCI
- 5.97
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- BioTechniques (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Cancer Institute (P30CA016058)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Keywords
- short tandem repeat genotyping, short-read sequencing, next-generation sequencing, personal identification, forensic DNA analysis, amelogenin, variant alleles, single nucleotide polymorphisms, reference genome alignment, sensitivity analysis
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