van der Loos, M.J.* ; Rietveld, C.A.* ; Eklund, N.* ; Koellinger, P.D.* ; Rivadeneira, F.* ; Abecasis, G.R.* ; Ankra-Badu, G.A.* ; Baumeister, S.E.* ; Benjamin, D.J.* ; Biffar, R.* ; Blankenberg, S.* ; Boomsma, D.I.* ; Cesarini, D.* ; Cucca, F.* ; de Geus, E.J.* ; Dedoussis, G.* ; Deloukas, P.* ; Dimitriou, M.* ; Eiriksdottir, G.* ; Eriksson, J.* ; Gieger, C. ; Gudnason, V.* ; Höhne, B. ; Holle, R. ; Hottenga, J.J.* ; Isaacs, A.* ; Jarvelin, M.R.* ; Johannesson, M.* ; Kaakinen, M.* ; Kähönen, M.* ; Kanoni, S.* ; Laaksonen, M.A.* ; Lahti, J.* ; Launer, L.J.* ; Lehtimäki, T.* ; Loitfelder, M.* ; Magnusson, P.K.* ; Naitza, S.* ; Oostra, B.A.* ; Perola, M.* ; Petrovic, K.* ; Quaye, L.* ; Raitakari, O.* ; Ripatti, S.* ; Scheet, P.* ; Schlessinger, D.* ; Schmidt, C.O.* ; Schmidt, H.* ; Schmidt, R.* ; Senft, A.* ; Smith, A.V.* ; Spector, T.D.* ; Surakka, I.* ; Svento, R.* ; Terracciano, A.* ; Tikkanen, E.* ; van Duijn, C.M.* ; Viikari, J.* ; Völzke, H.* ; Wichmann, H.-E. ; Wild, P.S.* ; Willems, S.M.* ; Willemsen, G.* ; van Rooij, F.J.* ; Groenen, P.J.* ; Uitterlinden, A.G.* ; Hofman, A.* ; Thurik, A.R.*
     
 
    
        
The molecular genetic architecture of self-employment.
    
    
        
    
    
        
        PLoS ONE 8:e60542 (2013)
    
    
    
		
		
			
				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 of genome-wide association studies across sixteen studies comprising 50,627 participants did not identify genome-wide significant SNPs. 58 SNPs with p<10(-5) were tested in a replication sample (n = 3,271), but none replicated. Furthermore, a gene-based test shows that none of the genes that were previously suggested in the literature to influence entrepreneurship reveal significant associations. Finally, SNP-based genetic scores that use results from the meta-analysis capture less than 0.2% of the variance in self-employment in an independent sample (p≥0.039). Our results are consistent with a highly polygenic molecular genetic architecture of self-employment, with many genetic variants of small effect. Although self-employment is a multi-faceted, heavily environmentally influenced, and biologically distal trait, our results are similar to those for other genetically complex and biologically more proximate outcomes, such as height, intelligence, personality, and several diseases.
			
			
				
			
		 
		
			
				
					
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        Publikationstyp
        Artikel: Journalartikel
    
 
    
        Dokumenttyp
        Wissenschaftlicher Artikel
    
 
    
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        Schlagwörter
        Genome-wide Association ; Coronary Heart-disease ; Common Snps Explain ; Cardiovascular-disease ; Socioeconomic-status ; Educational-attainment ; Missing Heritability ; Large Proportion ; Risk-factors ; Human Height
    
 
    
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        Sprache
        englisch
    
 
    
        Veröffentlichungsjahr
        2013
    
 
    
        Prepublished im Jahr 
        
    
 
    
        HGF-Berichtsjahr
        2013
    
 
    
    
        ISSN (print) / ISBN
        1932-6203
    
 
    
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	    Band: 8,  
	    Heft: 4,  
	    Seiten: ,  
	    Artikelnummer: e60542 
	    Supplement: ,  
	
    
 
  
        
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            Verlag
            Public Library of Science (PLoS)
        
 
        
            Verlagsort
            Lawrence, Kan.
        
 
	
        
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        Begutachtungsstatus
        Peer reviewed
    
 
     
    
        POF Topic(s)
        30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
30202 - Environmental Health
30503 - Chronic Diseases of the Lung and Allergies
    
 
    
        Forschungsfeld(er)
        Genetics and Epidemiology
    
 
    
        PSP-Element(e)
        G-504100-001
G-505300-002
G-503900-001
    
 
    
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        Erfassungsdatum
        2013-05-02