ArticleJournal of forensic sciences2016
SNP Miniplexes for Individual Identification of Random-Bred Domestic Cats.
Article in Journal of forensic sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- rPIMS: a ShinyR package for the precision identification and modelling of livestock breeds using genomic data and machine learning approaches.Bioinformatics advances · 2025Article
- The Revolution of Animal Genomics in Forensic Sciences.International journal of molecular sciences · 2023Review
- Standardization of a SNP panel for parentage verification and identification in the domestic cat (Felis silvestris catus).Animal genetics · 2021Article
- Identification of Target Chicken Populations by Machine Learning Models Using the Minimum Number of SNPs.Animals : an open access journal from MDPI · 2021Article
- Forensic genetics and genomics: Much more than just a human affair.PLoS genetics · 2017Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Phenotypic and genotypic characteristics of the cat can be obtained from single nucleotide polymorphisms (SNPs) analyses of fur. This study developed miniplexes using SNPs with high discriminating power for random-bred domestic cats, focusing on individual and phenotypic identification. Seventy-eight SNPs were investigated using a multiplex PCR followed by a fluorescently labeled single base extension (SBE) technique (SNaPshot(®) ). The SNP miniplexes were evaluated for reliability, reproducibility, sensitivity, species specificity, detection limitations, and assignment accuracy. Six SNPplexes were developed containing 39 intergenic SNPs and 26 phenotypic SNPs, including a sex identification marker, ZFXY. The combined random match probability (cRMP) was 6.58 × 10(-19) across all Western cat populations and the likelihood ratio was 1.52 × 10(18) . These SNPplexes can distinguish individual cats and their phenotypic traits, which could provide insight into crime reconstructions. A SNP database of 237 cats from 13 worldwide populations is now available for forensic applications.
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Registered trials
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