Genome–wide association study for risk taking propensity indicates shared pathways with body mass index

Emma A. D. Clifton; John R. B. Perry; Fumiaki Imamura; Luca A. Lotta; Soren Brage; Nita G. Forouhi; Simon J. Griffin; Nicholas J. Wareham; Ken K. Ong; Felix R. Day

doi:10.1038/s42003-018-0042-6

Communications Biology (May 2018)

Genome–wide association study for risk taking propensity indicates shared pathways with body mass index

Emma A. D. Clifton,
John R. B. Perry,
Fumiaki Imamura,
Luca A. Lotta,
Soren Brage,
Nita G. Forouhi,
Simon J. Griffin,
Nicholas J. Wareham,
Ken K. Ong,
Felix R. Day

Affiliations

Emma A. D. Clifton: MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science
John R. B. Perry: MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science
Fumiaki Imamura: MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science
Luca A. Lotta: MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science
Soren Brage: MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science
Nita G. Forouhi: MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science
Simon J. Griffin: MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science
Nicholas J. Wareham: MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science
Ken K. Ong: MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science
Felix R. Day: MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science

DOI: https://doi.org/10.1038/s42003-018-0042-6
Journal volume & issue: Vol. 1, no. 1
pp. 1 – 10

Abstract

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Emma Clifton et al. report a genome-wide association study of risk taking propensity amongst UK Biobank participants. They identify 26 loci, 24 of which are novel, and use Mendelian randomisation analysis to explore the relationship between risk-taking propensity and BMI.

Published in Communications Biology

ISSN: 2399-3642 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science: Biology (General)
Website: https://www.nature.com/commsbio/

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