Human complex mixture analysis by "FD Multi-SNP Mixture Kit".

forensic genetic markers individual identification mixture detection multi-SNPs

Journal

Frontiers in genetics
ISSN: 1664-8021
Titre abrégé: Front Genet
Pays: Switzerland
ID NLM: 101560621

Informations de publication

Date de publication:
2024
Historique:
received: 14 05 2024
accepted: 05 09 2024
medline: 14 10 2024
pubmed: 14 10 2024
entrez: 14 10 2024
Statut: epublish

Résumé

Multiple linked single nucleotide polymorphisms (SNPs) have shown potential in personal identification and mixture detection. However, the limited number of marker and sequencing errors have obstructed accurate DNA typing. To develop more candidate loci, the diversity value (D-value) was introduced as a new parameter for screening the novel polymorphic multiple linked-SNP markers, referred to as multi-SNP. In this study, a "FD Multi-SNP Mixture Kit" comprising 567 multi-SNPs was developed for mixture detection. Additionally, a new computational error correction method was applied as a quality control approach for sequencing data. The results demonstrated higher typing success rates than the conventional CE typing method. For single-source DNA, approximately 70-80 loci were detected with a DNA input of 0.009765625 ng. More than 65% of the minor alleles were distinguishable at 1 ng DNA with a frequency of 0.5% in 2- to 4-person mixtures. This study offers a polymorphic and high-resolution detection method for DNA genotyping and complex mixture detection, providing an alternative strategy for addressing challenging mixed DNA traces.

Identifiants

pubmed: 39399220
doi: 10.3389/fgene.2024.1432378
pii: 1432378
pmc: PMC11466842
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1432378

Informations de copyright

Copyright © 2024 Chen, Li, Zhou, Li, Yuan, Peng, Li and Zhang.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Anqi Chen (A)

Institute of Forensic Science, Fudan University, Shanghai, China.

Lun Li (L)

Institute for Systems Biology, Jianghan University, Wuhan, Hubei, China.
School of Life Sciences, Jianghan University, Wuhan, Hubei, China.

Junfei Zhou (J)

Institute for Systems Biology, Jianghan University, Wuhan, Hubei, China.
School of Life Sciences, Jianghan University, Wuhan, Hubei, China.

Tiantian Li (T)

Institute for Systems Biology, Jianghan University, Wuhan, Hubei, China.
School of Life Sciences, Jianghan University, Wuhan, Hubei, China.

Chunyan Yuan (C)

Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Ministry of Justice, Academy of Forensic Science, Shanghai, China.

Hai Peng (H)

Institute for Systems Biology, Jianghan University, Wuhan, Hubei, China.
School of Life Sciences, Jianghan University, Wuhan, Hubei, China.

Chengtao Li (C)

Institute of Forensic Science, Fudan University, Shanghai, China.
Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Ministry of Justice, Academy of Forensic Science, Shanghai, China.

Suhua Zhang (S)

Institute of Forensic Science, Fudan University, Shanghai, China.
Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Ministry of Justice, Academy of Forensic Science, Shanghai, China.

Classifications MeSH