Evidence map›Paper›PMID 41463872›Full record

ArticleAnimals : an open access journal from MDPI2025

A Case of Dog Bite Identification Using Trace DNA Recovered from Clothing Without Apparent Bite Marks.

Reina Ueda, Yuko Kihara, Aki Tanaka

Abstract readCase Reports
In one paragraph

Article in Animals : an open access journal from MDPI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Reina UedaLaboratory of Wildlife Medicine, Department of Veterinary Medicine, Nippon Veterinary and Life Science University, 1-7-1 Kyonan-cho, Musashino-shi 180-8602, Tokyo, Japan.
Yuko KiharaLaboratory of Wildlife Medicine, Department of Veterinary Medicine, Nippon Veterinary and Life Science University, 1-7-1 Kyonan-cho, Musashino-shi 180-8602, Tokyo, Japan.ORCID 0000-0003-1674-3768
Aki TanakaLaboratory of Wildlife Medicine, Department of Veterinary Medicine, Nippon Veterinary and Life Science University, 1-7-1 Kyonan-cho, Musashino-shi 180-8602, Tokyo, Japan.ORCID 0000-0002-5919-9726

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dog bite incidents represent a significant public health concern, and DNA analysis, in addition to morphological comparison, has been recognized as a useful tool for identifying the offending dog. STR typing has been established as a reliable method for individual identification in dogs, with many successful applications reported. However, most previous studies have analyzed samples showing visible traces such as blood or saliva, and there have been no documented cases in which the offending dog was identified from clothing without apparent evidence. In the present study, STR analysis was performed on trace DNA extracted from the clothing of a victim who sustained a minor dog bite injury. The STR profile obtained from the sample completely matched that of one of the three suspected dogs, a Weimaraner, at all 19 loci examined. No visible saliva or blood contamination was observed on the clothing. This case demonstrates that even trace DNA from clothing without visible markings can yield a complete STR profile when appropriate sampling and analytical methods are applied. The findings highlight the potential of canine DNA forensics to contribute to animal-related investigations and underscore the importance of accumulating allele frequency data and standardizing analytical procedures for future applications.

Indexed as

dog bite incidentforensic veterinary medicineindividual identificationSTR

Identifiers

PMID41463872
PMCPMC12729305

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.