Non-invasive prenatal paternity testing using mini-STR-based next-generation sequencing: a pilot study
Objectives: To assess the efficacy of a mini-STR-based next-generation sequencing (NGS) method for non-invasive prenatal paternity testing (NIPPT). Methods: Plasma DNA from 28 pregnant women was extracted and cell-free foetal DNA (cffDNA) genotyping was performed at 23 mini-STR loci using the Illumina NextSeq 500 system. For each mini-STR locus, the cffDNA genotype was validated by determining infant DNA genotype. The mini-STR loci with high concordance rates were selected for the comparison of STR genotyping results between cffDNA and biological father DNA or random male DNA for each family. Results: The biological relationship was identified between alleged fathers and infants in all 28 families using the capillary electrophoresis (CE) method. Moreover, the concordance rates of STR genotypes D5S818, D19S253, and D21S1270 were less than 50% in 23 autosomal STR loci. The STR genotype matching probability was calculated using 20 STR loci with more than 60% concordance rate. There was a significant difference in the STR genotype matching probability between cffDNA and the DNA from the biological father (75–100%) or from random males (25–70%) (p<0.0001). Conclusions: Our study demonstrated that mini-STR can be used for NGS-based NIPPT. Furthermore, this method can be used for crime control purposes using the STR data available from the national forensic DNA databases.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Non-invasive prenatal paternity testing using mini-STR-based next-generation sequencing: a pilot study ; volume:46 ; number:5 ; year:2022 ; pages:337-344 ; extent:08
Journal of laboratory medicine ; 46, Heft 5 (2022), 337-344 (gesamt 08)
- Urheber
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Song, Wenqian
Xiao, Nan
Zhou, Shihang
Yu, Weijian
Wang, Ni
Shao, Linnan
Liang, Xiaohua
- DOI
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10.1515/labmed-2021-0191
- URN
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urn:nbn:de:101:1-2022101314221816055799
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:20 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Song, Wenqian
- Xiao, Nan
- Zhou, Shihang
- Yu, Weijian
- Wang, Ni
- Shao, Linnan
- Liang, Xiaohua
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