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.

Aims: This study investigated past month patterns and risk factors of alcohol, tobacco and cannabis use by level of intensity in the German general population. Methods: Data from the 2006 German Epidemiological Survey of Substance Abuse (ESA) were used. The cross-sectional random sample consisted of N ¼ 7912 adults aged 18-64 years. The response rate was 45%. Intensive use of each substance was measured applying substance-specific cut-off points: alcohol: 420/30 g pure ethanol daily for women/men; tobacco: 20 cigarettes daily; cannabis: on 6 occasions monthly. Findings: The majority of substance users reported no intensive use of any of the three substances (77.5%) and 19.4% had used one of the three substances intensively. A total of 3.1% engaged in intensive use of multiple substances with alcohol and tobacco (2.3%) as the most prevalent pattern. A higher risk for intensive use of multiple substances was found among males, older individuals and those with a substance use disorder. Conclusions: Results of this study call for an integrated view on substance use and related disorders in prevention and treatment, taking diverse use patterns and specific needs of substance abusers into account.