Investigating the relationship between inbreeding and life expectancy in dogs: mongrels live longer than pure breeds

PeerJ. 2023 Jul 19:11:e15718. doi: 10.7717/peerj.15718. eCollection 2023.

Abstract

This study aimed to investigate the establishment of relationship between inbreeding and life expectancy in dogs. A dataset of N = 30,563 dogs sourced from the VetCompass™ Program, UK was made available by the Royal Veterinary College, University of London, containing information about breed and longevity and was subject to survival analysis. A Cox regression proportional hazards model was used to differentiate survivability in three groups of dogs (mongrel, cross-bred and pure breed). The model was found highly significant (p < 0.001) and we found that mongrel dog had the highest life expectancy, followed by cross-bred dogs with only one purebred ancestor and purebred dogs had the lowest life expectancy. A second Cox regression was also found highly significant (p < 0.001) differentiating the lifespan of different dog breed and correlating positively the hazard ratio and the Genetic Illness Severity Index for Dogs (GISID). The results show that survivability is higher in mongrel dogs followed by cross-bred with one of the ancestor only as a pure breed, and pure breed dog have the highest morbidity level. Higher morbidity is associated with higher GISID scores, and therefore, higher inbreeding coefficients. These findings have important implications for dog breeders, owners, and animal welfare organizations seeking to promote healthier, longer-lived dogs.

Keywords: Cross-bred dog; Dog; Dog breeding; Dog welfare; Genetic illness; Inbreeding coeficient; Lifespan; Mongrel dog; Pure breed dog; Survivability.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Dogs*
  • Inbreeding* / statistics & numerical data
  • Life Expectancy
  • Longevity* / genetics
  • Models, Statistical
  • Proportional Hazards Models
  • Survival Analysis

Grants and funding

The Foundation for Science and Technology (FCT, Portugal) provided financial support via CISAS UIDB/05937/2020 and UIDP/05937/2020, including the contract of Fernando Mata. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.