rs10776614 - ARHGAP22

Magnitude 2.0 · 1 study on file

Reported associations

• The Molecular Genetic Architecture of Self-Employment - PloS one (2013) · van der Loos MJ, Rietveld CA, Eklund N, Koellinger PD, Rivadeneira F, Abecasis GR, Ankra-Badu GA, Baumeister SE, Benjamin DJ, Biffar R, Blankenberg S, Boomsma DI, Cesarini D, Cucca F, de Geus EJ, Dedoussis G, Deloukas P, Dimitriou M, Eiriksdottir G, Eriksson J, Gieger C, Gudnason V, Höhne B, Holle R, Hottenga JJ, Isaacs A, Järvelin MR, Johannesson M, Kaakinen M, Kähönen M, Kanoni S, Laaksonen MA, Lahti J, Launer LJ, Lehtimäki T, Loitfelder M, Magnusson PK, Naitza S, Oostra BA, Perola M, Petrovic K, Quaye L, Raitakari O, Ripatti S, Scheet P, Schlessinger D, Schmidt CO, Schmidt H, Schmidt R, Senft A, Smith AV, Spector TD, Surakka I, Svento R, Terracciano A, Tikkanen E, van Duijn CM, Viikari J, Völzke H, Wichmann HE, Wild PS, Willems SM, Willemsen G, van Rooij FJ, Groenen PJ, Uitterlinden AG, Hofman A, Thurik AR · PubMed 23593239

  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 (σg 2/σP 2 = 25%, h 2 = 55%). However, a meta-analysis o

Auto-generated from study metadata. AI-synthesised commentary is added when this entry is regenerated through content-service's LLM mode.