Abstract

Dog ownership has been associated with several complex traits, and there is evidence of genetic influence. We performed a genome-wide association study of dog ownership through a meta-analysis of 31,566 Swedish twins in 5 discovery cohorts and an additional 65,986 European-ancestry individuals in 3 replication cohorts from Sweden, Norway, and the United Kingdom. Association tests with >7.4 million single-nucleotide polymorphisms were meta-analyzed using a fixed effect model after controlling for population structure and relatedness. We identified 2 suggestive loci using discovery cohorts, which did not reach genome-wide significance after meta-analysis with replication cohorts. Single-nucleotide polymorphism-based heritability of dog ownership using linkage disequilibrium score regression was estimated at 0.123 (CI 0.038–0.207) using the discovery cohorts and 0.018 (CI −0.002 to 0.039) when adding in replication cohorts. Negative genetic correlation with complex traits including type 2 diabetes, depression, neuroticism, and asthma was only found using discovery summary data. Furthermore, we did not identify any genes/gene-sets reaching even a suggestive level of significance. This genome-wide association study does not, by itself, provide clear evidence on common genetic variants that influence dog ownership among European-ancestry individuals.

Details

Title
The genetic architecture of dog ownership: large-scale genome-wide association study in 97,552 European-ancestry individuals
Author
Gong, Tong 1 ; Karlsson, Robert 1 ; Yao, Shuyang 1 ; Magnusson, Patrik K E 1 ; Ajnakina, Olesya 2 ; Steptoe, Andrew 2 ; Bhatta, Laxmi 3 ; Brumpton, Ben 3 ; Kumar, Ashish 4 ; Mélen, Erik 4 ; Aslibekyan, Stella; Auton, Adam; Babalola, Elizabeth; Bell, Robert K; Bielenberg, Jessica; Bryc, Katarzyna; Bullis, Emily; Coker, Daniella; Gabriel Cuellar Partida; Dhamija, Devika; Das, Sayantan; Elson, Sarah L; Eriksson, Nicholas; Filshtein, Teresa; Fitch, Alison; Fletez-Brant, Kipper; Fontanillas, Pierre; Freyman, Will; Granka, Julie M; Heilbron, Karl; Hernandez, Alejandro; Hicks, Barry; Hinds, David A; Jewett, Ethan M; Jiang, Yunxuan; Kukar, Katelyn; Kwong, Alan; Keng-Han, Lin; Llamas, Bianca A; Lowe, Maya; McCreight, Jey C; McIntyre, Matthew H; Micheletti, Steven J; Moreno, Meghan E; Nandakumar, Priyanka; Nguyen, Dominique T; Noblin, Elizabeth S; O'Connell, Jared; Petrakovitz, Aaron A; Poznik, G David; Reynoso, Alexandra; Schumacher, Morgan; Shastri, Anjali J; Shelton, Janie F; Shi, Jingchunzi; Shringarpure, Suyash; Su, Qiaojuan Jane; Tat, Susana A; Tchakouté, Christophe Toukam; Tran, Vinh; Tung, Joyce Y; Wang, Xin; Wang, Wei; Weldon, Catherine H; Wilton, Peter; Wong, Corinna D 5 ; Tian, Chao 5 ; Fall, Tove 6 ; Almqvist, Catarina 1 

 Department of Medical Epidemiology and Biostatistics, Karolinska Institutet , Stockholm SE-171 77 , Sweden 
 Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London , London WC1E 7HB UK 
 K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology , Trondheim NO-7491 , Norway 
 Institute of Environmental Medicine, Karolinska Institutet , Stockholm SE-171 77 , Sweden 
 23andMe, Inc. , Sunnyvale, CA 94086 , USA 
 Molecular Epidemiology, Department of Medical Sciences, and Science for Life Laboratory, Uppsala University , Uppsala SE-751 85 , Sweden 
Publication year
2024
Publication date
Aug 2024
Publisher
Oxford University Press
e-ISSN
21601836
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3169697476
Copyright
© The Author(s) 2024. Published by Oxford University Press on behalf of The Genetics Society of America. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.