ArticleHuman genetics2025
Development and validation of an MPS-based 513-Plex SNP identity panel for degraded forensic samples.
Article in Human genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Moderate-density SNPs combined with machine learning method driven kinship identification and East Asian subpopulations discrimination analysis.International journal of legal medicine · 2026Article
- Forensic validation and population genetic evaluation of an MPS-based integrated microhaplotype and Y-SNP/STR (MY) system.Biochemistry and biophysics reports · 2026Article
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Authors and funding
8 authors.
Funding
Abstract
Degraded samples pose a challenge in routine forensic practice. The commonly used short tandem repeat markers are not optimally suitable for the analysis of degraded samples because of their structural complexity and locus length. By contrast, single nucleotide polymorphisms (SNPs), characterised by their single base mutation feature, enable the design of short amplification fragments, conferring an advantage in detecting mutations in degraded samples. Hence, our team has developed a multiplex amplification system for individual identification of degraded samples, encompassing 507 autosomal SNP loci, five Y-InDel loci, and one amelogenin sex determination locus. The amplification fragment lengths in this multiplex system range from 81 to 116 bp. The forensic applicability of this panel was validated through sequencing analysis of 201 samples. Among these were 30 degraded samples (simulated degraded samples: heat degradation and ultrasonic fragmentation; formalin-fixed, paraffin-embedded samples). The results indicated that the genotyping accuracy of all loci included in this panel remained at 100% for samples with 0.1 ng of DNA input and severe degradation. Sensitivity experiments revealed that at a DNA input of only 31.25 pg, the locus detection rate reached 100%, with genotype accuracy of 92.5%. Based on population data analysis, the total discrimination power of this system reached 1-5.513 × 10
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