A decade of research on the genetics of entrepreneurship: a review and view ahead

Studies analyzing the heritability of entrepreneurship indicate that explanations for why people engage in entrepreneurship that ignore genes are incomplete. However, despite promises that were solidly backed up with ex ante power calculations, atte

Attention-Deficit Hyperactivity Disorder Symptoms and Entrepreneurial Orientation: A Replication Note

There is a small body of literature linking attention-deficit hyperactivity disorder (ADHD) and its symptoms to entrepreneurial manifestations. Some studies take a subclinical perspective by studying the presence of symptoms, while other studies take a clinical perspective by studying the formal diagnosis of ADHD. The entrepreneurial manifestations examined range from entrepreneurial intention to the choice to become self-employed and from entrepreneurial orientation (EO) to entrepreneurial success. Despite its prominence in the entrepreneurship literature, to date only one study tested for a link with EO. The present study aims to replicate the relationship between ADHD symptoms and EO using a large data set of French small business owners. We do so by discriminating between the two dimensions of ADHD, namely attention-deficit and hyperactivity, as well as the three dimensions of EO, namely innovativeness, proactiveness, and risk-taking. We do not find a link between ADHD and EO, although we do find a positive link between ADHD and the risk-taking subdimension of EO. Hyperactivity symptoms are positively related to EO, which is mainly driven by the subdimensions proactiveness and risk-taking. We do not find a link between attention-deficit symptoms and EO, though there is a negative link between attention-deficit and proactiveness

How entry crowds and grows markets: the gradual disaster management view of market dynamics in the retail industry

Entrepreneurial, innovative entry can have devastating effects disrupting a market. However, the many players involved including all current producers, sellers and suppliers and the often non-technological but organizational nature of the innovation may lead to a gradual restoration of the market, viz., to a new equilibrium. Entrepreneurial entry can be regarded as a disaster while the restoration towards a new equilibrium as disaster management. Hardly any empirical models have been developed in order to test these ideas. This paper conducts the first empirical dynamic simultaneous equilibrium analysis of the role of entry and exit of firms, the number of firms in an industry, and profit levels in industry dynamics. Our model enables to discriminate between the entrants’ entrepreneurial function of creating disequilibrium and their conventional role of moving the industry to a new equilibrium. Using a rich data set of the retail industry, we find that indeed entrants perform an entrepreneurial function causing long periods of disequilibrium after which a new equilibrium is attained. Notably, shocks to the entry rate have permanent effects on the industry, emphasizing the entrepreneurial function of entrants rather than their passive reactive function as postulated in classical economics

De genetica van ondernemerschap

genetiGenoombreed associatieonderzoek is een moderne onderzoeksmethode die het mogelijk maakt genen te vinden die geassocieerd zijn met allerlei ziekten en menselijke eigenschappen. Een samenwerkingsverband tussen de Erasmus School of Economics en het Erasmus Medisch Centrum probeert deze veelbelovende methode toe te passen op de keuze voor ondernemerschap

Meta-GWAS Accuracy and Power (MetaGAP) Calculator Shows that Hiding Heritability Is Partially Due to Imperfect Genetic Correlations across Studies

Large-scale genome-wide association results are typically obtained from a fixed-effects meta-analysis of GWAS summary statistics from multiple studies spanning different regions and/or time periods. This approach averages the estimated effects of genetic variants across studies. In case genetic effects are heterogeneous across studies, the statistical power of a GWAS and the predictive accuracy of polygenic scores are attenuated, contributing to the so-called ‘missing heritability’. Here, we describe the online Meta-GWAS Accuracy and Power (MetaGAP) calculator (available at www.devlaming.eu) which quantifies this attenuation based on a novel multi-study framework. By means of simulation studies, we show that under a wide range of genetic architectures, the statistical power and predictive accuracy provided by this calculator are accurate. We compare the predictions from the MetaGAP calculator with actual results obtained in the GWAS literature. Specifically, we use genomic-relatedness-matrix restricted maximum likelihood to estimate the SNP heritability and cross-study genetic correlation of height, BMI, years of education, and self-rated health in three large samples. These estimates are used as input parameters for the MetaGAP calculator. Results from the calculator suggest that cross-study heterogeneity has led to attenuation of statistical power and predictive accuracy in recent large-scale GWAS efforts on these traits (e.g., for years of education, we estimate a relative loss of 51–62% in the number of genome-wide significant loci and a relative loss in polygenic score R2of 36–38%). Hence, cross-study heterogeneity contributes to the missing heritability

The Molecular Genetic Architecture of Self-Employment

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<10-5were 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