The Molecular Genetic Architecture of Self-Employment

Matthijs J H M van der Loos, Cornelius A Rietveld, Niina Eklund, Philipp Koellinger, Fernando Rivadeneira, Gonçalo R Abecasis, Georgina A Ankra-Badu, Sebastian E Baumeister, Daniel Benjamin, Reiner Biffar, Stefan Blankenberg, Dorret I Boomsma, David Cesarini, Francesco Cucca, Eco J C de Geus, George Dedoussis, Panos Deloukas, Maria Dimitriou, Guðny Eiriksdottir, Johan Eriksson, Christian Gieger, Vilmundur Gudnason, Birgit Höhne, Rolf Holle, Jouke-Jan Hottenga, Aaron Isaacs, Marjo-Riitta Järvelin, Magnus Johannesson, Marika Kaakinen, Mika Kähönen, Stavroula Kanoni, Maarit A Laaksonen, Jari Lahti, Lenore J Launer, Terho Lehtimäki, Marisa Loitfelder, Patrik K E Magnusson, Silvia Naitza, Ben A Oostra, Markus Perola, Katja Petrovic, Lydia Quaye, Olli Raitakari, Samuli Ripatti, Paul Scheet, David Schlessinger, Carsten O Schmidt, Helena Schmidt, Reinhold Schmidt, Andrea Senft, Albert V Smith, Timothy D Spector, Ida Surakka, Rauli Svento, Antonio Terracciano, Emmi Tikkanen, Cornelia M van Duijn, Jorma Viikari, Henry Völzke, H -Erich Wichmann, Philipp S Wild, Sara M Willems, Gonneke Willemsen, Frank J A van Rooij, Patrick Groenen (), André G Uitterlinden, Albert Hofman and Roy Thurik

PLOS ONE, 2013, vol. 8, issue 4, 1-15

Abstract: Economic variables such as income, education, and occupation are known to affect mortality and morbidity, such as cardiovascular disease, and have also been shown to be partly heritable. However, very little is known about which genes influence economic variables, although these genes may have both a direct and an indirect effect on health. We report results from the first large-scale collaboration that studies the molecular genetic architecture of an economic variable–entrepreneurship–that was operationalized using self-employment, a widely-available proxy. Our results suggest that common SNPs when considered jointly explain about half of the narrow-sense heritability of self-employment estimated in twin data (σg2/σP2 = 25%, h2 = 55%). However, a meta-analysis of genome-wide association studies across sixteen studies comprising 50,627 participants did not identify genome-wide significant SNPs. 58 SNPs with p

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0060542

DOI: 10.1371/journal.pone.0060542

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