Multivariate analysis reveals shared genetic architecture of brain morphology and human behavior

Ronald de Vlaming; Eric A. W. Slob; Philip R. Jansen; Alain Dagher; Philipp D. Koellinger; Patrick J. F. Groenen; Cornelius A. Rietveld

doi:10.1038/s42003-021-02712-y

Communications Biology (Oct 2021)

Multivariate analysis reveals shared genetic architecture of brain morphology and human behavior

Ronald de Vlaming,
Eric A. W. Slob,
Philip R. Jansen,
Alain Dagher,
Philipp D. Koellinger,
Patrick J. F. Groenen,
Cornelius A. Rietveld

Affiliations

Ronald de Vlaming: School of Business and Economics, Vrije Universiteit Amsterdam
Eric A. W. Slob: Department of Applied Economics, Erasmus School of Economics
Philip R. Jansen: Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam
Alain Dagher: Montreal Neurological Institute, McGill University
Philipp D. Koellinger: School of Business and Economics, Vrije Universiteit Amsterdam
Patrick J. F. Groenen: Econometric Institute, Erasmus School of Economics
Cornelius A. Rietveld: Department of Applied Economics, Erasmus School of Economics

DOI: https://doi.org/10.1038/s42003-021-02712-y
Journal volume & issue: Vol. 4, no. 1
pp. 1 – 9

Abstract

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Ronald de Vlaming and Eric Slob et al. present MGREML, a multivariate tool to estimate pairwise genetic correlations between multiple traits. They apply MGREML to UK Biobank data for 74 brain imaging phenotypes and 8 behavioral traits, demonstrating that these phenotypes have distinct genetic correlations with brain morphology.

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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