Personal Genomic Services for Companion Animals: Pet Owner Experiences and Veterinary Perspectives
Year: 2025
Type: article
Abstract: Direct-to-consumer (D2C or DTC) genetic testing for companion animals has gained popularity since its introduction for dogs in 2009 and cats in 2016. These personal genomic services provide pet owners with insights into their pets’ breed, health, and other types of information (e.g., biological relatives). However, the broader implications of this growing industry for human-animal relationships, veterinary medicine, and consumer behaviors remain underexplored. This dissertation examines these dimensions of commercial genetic testing for dogs and cats using a multi-faceted research approach.Chapter two establishes the background of this work through an exploratory content analysis of genetic testing company websites and consumer reviews, identifying key marketing strategies and consumer motivations. Chapters three and four build on this foundation with survey data from a large commercial pet genetic company. Chapter three evaluates consumer motivations, perceptions, and responses to canine genetic test results and introduces Breed Options Theory as a framework for understanding how genetic information shapes the identities applied to dogs. Chapter four extends these findings by exploring the potential influence of genetic testing on the human-dog bond. Using survey data and participant text responses, this chapter highlights how genetic results enhance owners’ knowledge about their dogs and enhances their emotional connection. Chapter five investigates veterinary care providers’ experiences and perceptions regarding genetic testing, offering insights into its clinical utility and challenges faced by professionals. Finally, chapter six presents an in-depth qualitative study expanding Breed Options Theory by examining how dog owners use genetic testing to construct breed identities.
DOI: 10.34917/39206692
Author: Bennett, Nikki
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7093099426
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