Evidence map›Paper›PMID 38820132›Full record

SynthesisG3 (Bethesda, Md.)2024

The genetic architecture of dog ownership: large-scale genome-wide association study in 97,552 European-ancestry individuals.

Tong Gong, Robert Karlsson, Shuyang Yao, Patrik K E Magnusson, Olesya Ajnakina, Andrew Steptoe, Laxmi Bhatta, Ben Brumpton, Ashish Kumar, Erik Mélen and 5 more

Abstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in G3 (Bethesda, Md.), 2024. 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

15 authors.

Tong GongDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm SE-171 77, Sweden.ORCID 0000-0002-6887-9432
Robert KarlssonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm SE-171 77, Sweden.ORCID 0000-0002-8949-2587
Shuyang YaoDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm SE-171 77, Sweden.
Patrik K E MagnussonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm SE-171 77, Sweden.
Olesya AjnakinaDepartment of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, London WC1E 7HBUK.ORCID 0000-0003-3987-1236
Andrew SteptoeDepartment of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, London WC1E 7HBUK.ORCID 0000-0001-7808-4943
Laxmi BhattaK.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim NO-7491, Norway.
Ben BrumptonK.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim NO-7491, Norway.
Ashish KumarInstitute of Environmental Medicine, Karolinska Institutet, Stockholm SE-171 77, Sweden.
Erik MélenInstitute of Environmental Medicine, Karolinska Institutet, Stockholm SE-171 77, Sweden.
23andMe research team
Keng-Han Lin23andMe, Inc., Sunnyvale, CA 94086, USA.
Chao Tian23andMe, Inc., Sunnyvale, CA 94086, USA.
Tove FallMolecular Epidemiology, Department of Medical Sciences, and Science for Life Laboratory, Uppsala University, Uppsala SE-751 85, Sweden.
Catarina AlmqvistDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm SE-171 77, Sweden.ORCID 0000-0002-1045-1898

Funding

Karolinska InstitutetStiftelsen Frimurare BarnhusetStrategic Research ProgramSwedish Asthma and Allergy Association 2020-0008Swedish Heart-Lung Foundation 20180512Swedish Initiative for Research on Microdata in the Social And Medical Sciences 340-2013-5867Swedish Research Council 2018-02640
6 · The paper itself

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.

Indexed as

Genome-Wide Association StudyPolymorphism, Single NucleotideWhite PeopleAnimalsDogsFemaleHumansLinkage DisequilibriumMaleOwnershipdog ownershipEuropean ancestryGWASheritabilityreplication

Identifiers

PMID38820132
PMCPMC11304603

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.