Matthijs J. H. M. van der Loos's research while affiliated with Erasmus University Rotterdam and other places

... A recent meta-analysis on studies measuring endogenous levels of testosterone showed a significant albeit small correlation between testosterone and risk-taking which was not influenced by gender nor by outcome measures (Kurath and Mata, 2018). Nevertheless, several other studies reported contrasting see Mehta et al. (2015) or null results (Van der Loos et al., 2013;Derntl et al., 2014;Nadler et al., 2021;Stanton et al., 2021). However, it should be noted that these studies used different approaches with some measuring basal testosterone in saliva (Derntl et al., 2014;Mehta et al., 2015), some in the serum (Van der Loos et al., 2013), while the rest (Nadler et al., 2021;Stanton et al., 2021) administered testosterone exogenously. ...

... In this quest, a multitude of state-of-the-art research tools have been utilized, and genetics research has emerged as the most promising way of deciphering the presumed "secrets" of the "entrepreneurial nature" (Nicolaou & Shane, 2009;Nicolaou, Phan & Stephan, 2021). Yet, the success of such efforts is questionable, and we still do not know what is so "special" about entrepreneurs (van der Loos, 2013;Rietveld, Slob & Thurik, 2021). Likewise, entrepreneurial alertness is routinely posited as a "rare gift" that enables only a few to recognize opportunities in an otherwise uncertain future (Moore, McIntyre & Lavinich, 2021;Neneh, 2019;Shane & Venkataraman, 2000). ...

... With these genetic data, genetic epidemiologists started to search for the specific genes influencing heritable diseases and traits such as heart disease, diabetes, autoimmune diseases, and psychiatric disorders (Visscher et al., 2012). Motivated by the idea that matches and mismatches between genetic predispositions and career choices could impact morbidity and mortality Van der Loos et al., 2010), an international consortium was set up to analyze the molecular genetic architecture of entrepreneurship using genome-wide association study (GWAS) metaanalysis ( Van der Loos et al., 2011;Van der Loos et al., 2013). ...

... The ride can cost as much as the emergency room visit, ranging between $300 and $1200 (approximately a $750 average), tacking on fees for mileage and oxygen. This suggests that a 6.96 percent chance (based on a 327 million population) exists that someone living in a United States household will be assisted by an emergency medical service call in any given year (22,750,500 medical calls/327,000,000 households). The $48 membership would have an expected benefit of $31.32 [($750 * 60 percent) * 0.0696)] and a return of 65.25 cents ($31.32/$48) for every dollar invested into the medical service membership program. ...

... Twin studies from different countries show that political ideology and beliefs (e.g., Alford et al., 2005;Hatemi et al., 2014;Ksiazkiewicz et al., 2020) and political interest have a heritable component (Bell et al., 2009;Dawes et al., 2014;Klemmensen et al., 2012;Weinschenk et al., 2019). Different methodologies, such as extended family designs (Hatemi et al., 2010) and the analysis of genome-wide data (Benjamin et al., 2012), have led to similar conclusions. Studies also suggest that the role of genes in political attitudes emerges primarily in early adulthood and is absent in adolescence (Eaves et al., 1997;Hatemi, Funk, et al., 2009). ...

... An article (only for risk aversion) [26], comprehensively addressed the possible association between more than 2 million single nucleotide polymorphisms (SNPs) extracted from the U.S. Health and Retirement Study (HRS), and the risk-aversion level, measured with hypothetical gambles on lifetime income, in a sample of 10,455 adults. The remaining articles included in the review dealt with more specific genetic measures, known as "candidate-gene" studies [41]. They studied specific genetic markers (one or several genes, or regions thereof), since, based on prior knowledge of their biological functions, these could be related to the phenotype of interest (in this case, risk or loss aversion). ...

... At the heart of this emerging landscape are healthcare professionalsindividuals uniquely positioned to harness the potential of genomics for entrepreneurial endeavors that can revolutionize healthcare delivery. However, this intersection of genomics and entrepreneurship does not face challenges [4]. Attitudes, beliefs, and perceptions held by healthcare professionals play a pivotal role in shaping their intentions to venture into the entrepreneurial domain of genomics [5]. ...