Work

The Molecular Genetic Architecture of Self-Employment

Year: 2013
Type: review
Study design: Observational Study
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 (σ(g)(2)/σ(P)(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.
Source: PLoS ONE
Language: English
Subfield: Genetics
Open Access status: gold
Estimated APC paid: $2,382
Awards: G1028663679, G1093531541, G1108774313, G1110999434, G1180809207, G119964413, G1311351439, G1389291084, G1409398652, G1438682972, G1447699044, G1449130676, THE AGES STUDY - THE REYKJAVIK STUDY OF HEALTHY AGING FOR THE NEW MILLENUM, G16286648, G1679186985, G1689944598, G178033515, G178382592, G1846835827, G185733499, G2098337849, G2238725043, G230712557, G2324588096, G2424230848, Interstitial Cystitis in Swedish Twins, G250924255, G2563833389, G2861369480, G294002421, G2973790809, G3077543175, G3121967442, G3207356259, G3294462333, Genetic Influences on ADHD in a Finnish Birth Cohort, G3316531930, G3367174484, G3381003921, G3402222819, G3428355823, G3444887196, G3514318409, G3520205971, G357049385, G3728971702, G3785373358, G3814398992, G3865460896, G393177772, Genomics of Developmental Trajectories in Twins, G4257988455, G431860981, G4367295956, G4446757277, G4460629988, G4515475997, G451789889, G4522554349, G4536776401, G4544423771, G4599390081, G4663226093, European Network for Genetic and Genomic Epidemiology, G4735382418, G4757721458, G483456127, G4870157667, G4975632709, G5087288417, Genetics of cardiovascular risk factors in large founder population birth control, G5176409192, Robust Software Tools for Variant Identification and Functional Assessment, G5357370535, G536623562, G5418186242, G5468713758, G5471839915, Limited Competition: Continuation of the Center for Genomic Studies on Mental Disorders, G5702163051, G5767309141, G5822176667, G5849731031, G591084189, CHARGE consortium: omics discovery for CVD and aging phenotypes, G5994639858, G6003490063, G6087908568, G6091493096, G616188461, Genetics of Cerebral Small Vessel Disease, G6226380888, Whole Genome Assoc. Analysis Strategies for Multi. Phenotypes, G626177176, G634521393, G6370947073, G6518651994, G6519421474, G6562605244, G6663973959, G6728033037, G70080636, G7154858182, G7219708928, G7229602471, G7333372387, G7373387228, MRI white matter abnormalities in the elderly: Genetic risk factors, rate of progression and neuropsychologic consequences, G7558636403, G7764220001, G7780068114, G7787549875, G7836598383, G792437752, Integration of Genomics & Transcriptomics in Normal Twins & Major Depression, G822877548, G8263226176, G8345909828, G8547141348, G8662178672, Major Depression: Stage 1 Genomewide Association in Population-Based Samples, G86865590, G8713346975, G8779995270, Health and Retirement Study: Yrs 35-40, G961365294
OpenAlex ID: W2084724580
FWCI: 2.264
Cites: 111
Cited by: 162
Related to: 10