UK Builds First Canine DNA Database to Aid Police — SkimNews

Get the Health newsletter
Daily health & science — research, biotech, public health, the studies worth knowing. Free.
- King's College London and the Royal Veterinary College built the UK's first canine DNA database covering 80 breeds, with at least 50 dogs sampled for each of the 10 most common breeds including labradors, cocker spaniels and miniature schnauzers.
- Prof Denise Syndercombe Court at King's College London, who leads the work, said the team hopes to expand the database to include breeds banned in the UK — pitbull terriers, American XL bullies and Japanese tosas.
- The technique uses short tandem repeats (STRs), the same approach used in human forensic DNA analysis, to produce a virtually unique profile that can match or exclude a specific dog or narrow down the breed.
- The team also built a separate database using mitochondrial DNA for cases with extremely small samples, though Court noted this DNA is only passed from mother to offspring, limiting its power.
- In one real case, canine DNA from two different dogs on a torn T-shirt supported the conclusion that a man's injuries came from his own dogs attacking the accused, not from another person as the victim claimed.
- In a sheep-attack case, DNA from the scene excluded a suspect's dogs and identified a different breed as the likely attacker.
- Dr Nicholas Dawnay of Liverpool John Moores University called the research "hugely important" but warned police budgets are stretched and that without effective funding the benefits "may struggle to be realised."
Why it matters: The 80-breed STR database — the first of its kind in the UK — gives investigators a concrete tool to match or exclude individual dogs and identify breeds from crime-scene traces, with two real cases already showing it can overturn witness claims. The bottleneck, as Dawnay flags, is police funding rather than the science, meaning the technique's uptake hinges on whether stretched forces will pay for canine forensic casework.
Ask SkimNews




