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ORIGINAL RESEARCH article
Front. Genet.
Sec. Statistical Genetics and Methodology
Volume 15 - 2024 |
doi: 10.3389/fgene.2024.1432378
This article is part of the Research Topic Forensic Investigative Genetic Genealogy and Fine-Scale Structure of Human Populations, Volume II View all articles
Human complex mixture analysis by "FD Multi-SNP Mixture Kit"
Provisionally accepted
Anqi Chen
1
Lun Li
2*
Junfei Zhou
2*
Tiantian Li
2*
Chunyan Yuan
1*
Hai Peng
2
Chengtao Li
1*
Suhua Zhang
1*- 1 Fudan University, Shanghai, China
- 2 Institute for Systems Biology, Jianghan University, Wuhan, Hebei Province, China
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.
Keywords: Genetic Markers, multi-SNPs, Individual identification, mixture detection, forensic
Received: 14 May 2024; Accepted: 05 Sep 2024.
Copyright: © 2024 Chen, Li, Zhou, Li, Yuan, Peng, Li and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Lun Li, Institute for Systems Biology, Jianghan University, Wuhan, Hebei Province, China
Junfei Zhou, Institute for Systems Biology, Jianghan University, Wuhan, Hebei Province, China
Tiantian Li, Institute for Systems Biology, Jianghan University, Wuhan, Hebei Province, China
Chunyan Yuan, Fudan University, Shanghai, China
Chengtao Li, Fudan University, Shanghai, China
Suhua Zhang, Fudan University, Shanghai, China
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