Genetic predictors of participation in optional components of UK Biobank

Jessica Tyrrell; Jie Zheng; Robin Beaumont; Kathryn Hinton; Tom G. Richardson; Andrew R. Wood; George Davey Smith; Timothy M. Frayling; Kate Tilling

doi:10.1038/s41467-021-21073-y

Nature Communications (Feb 2021)

Genetic predictors of participation in optional components of UK Biobank

Jessica Tyrrell,
Jie Zheng,
Robin Beaumont,
Kathryn Hinton,
Tom G. Richardson,
Andrew R. Wood,
George Davey Smith,
Timothy M. Frayling,
Kate Tilling

Affiliations

Jessica Tyrrell: Genetics of Complex Traits, College of Medicine and Health, University of Exeter
Jie Zheng: MRC Integrative Epidemiology Unit at the University of Bristol, University of Bristol
Robin Beaumont: Genetics of Complex Traits, College of Medicine and Health, University of Exeter
Kathryn Hinton: Genetics of Complex Traits, College of Medicine and Health, University of Exeter
Tom G. Richardson: MRC Integrative Epidemiology Unit at the University of Bristol, University of Bristol
Andrew R. Wood: Genetics of Complex Traits, College of Medicine and Health, University of Exeter
George Davey Smith: MRC Integrative Epidemiology Unit at the University of Bristol, University of Bristol
Timothy M. Frayling: Genetics of Complex Traits, College of Medicine and Health, University of Exeter
Kate Tilling: MRC Integrative Epidemiology Unit at the University of Bristol, University of Bristol

DOI: https://doi.org/10.1038/s41467-021-21073-y
Journal volume & issue: Vol. 12, no. 1
pp. 1 – 13

Abstract

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Large BioBank studies are commonly used in GWAS, but may be biased by factors affecting participation and dropout. Here the authors show that some of the factors affecting participation may have underlying genetic components.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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