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1. The identification of mediating effects using genome-based restricted maximum likelihood estimation.

Author

Cornelius A Rietveld, Ronald de Vlaming, and Eric A W Slob

Subjects
Genetics, QH426-470
Abstract

Mediation analysis is commonly used to identify mechanisms and intermediate factors between causes and outcomes. Studies drawing on polygenic scores (PGSs) can readily employ traditional regression-based procedures to assess whether trait M mediates the relationship between the genetic component of outcome Y and outcome Y itself. However, this approach suffers from attenuation bias, as PGSs capture only a (small) part of the genetic variance of a given trait. To overcome this limitation, we developed MA-GREML: a method for Mediation Analysis using Genome-based Restricted Maximum Likelihood (GREML) estimation. Using MA-GREML to assess mediation between genetic factors and traits comes with two main advantages. First, we circumvent the limited predictive accuracy of PGSs that regression-based mediation approaches suffer from. Second, compared to methods employing summary statistics from genome-wide association studies, the individual-level data approach of GREML allows to directly control for confounders of the association between M and Y. In addition to typical GREML parameters (e.g., the genetic correlation), MA-GREML estimates (i) the effect of M on Y, (ii) the direct effect (i.e., the genetic variance of Y that is not mediated by M), and (iii) the indirect effect (i.e., the genetic variance of Y that is mediated by M). MA-GREML also provides standard errors of these estimates and assesses the significance of the indirect effect. We use analytical derivations and simulations to show the validity of our approach under two main assumptions, viz., that M precedes Y and that environmental confounders of the association between M and Y are controlled for. We conclude that MA-GREML is an appropriate tool to assess the mediating role of trait M in the relationship between the genetic component of Y and outcome Y. Using data from the US Health and Retirement Study, we provide evidence that genetic effects on Body Mass Index (BMI), cognitive functioning and self-reported health in later life run partially through educational attainment. For mental health, we do not find significant evidence for an indirect effect through educational attainment. Further analyses show that the additive genetic factors of these four outcomes do partially (cognition and mental health) and fully (BMI and self-reported health) run through an earlier realization of these traits.

Published
2023
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2. Associations of autozygosity with a broad range of human phenotypes

Author

David W Clark, Yukinori Okada, Kristjan H S Moore, Dan Mason, Nicola Pirastu, Ilaria Gandin, Hannele Mattsson, Catriona L K Barnes, Kuang Lin, Jing Hua Zhao, Patrick Deelen, Rebecca Rohde, Claudia Schurmann, Xiuqing Guo, Franco Giulianini, Weihua Zhang, Carolina Medina-Gomez, Robert Karlsson, Yanchun Bao, Traci M Bartz, Clemens Baumbach, Ginevra Biino, Matthew J Bixley, Marco Brumat, Jin-Fang Chai, Tanguy Corre, Diana L Cousminer, Annelot M Dekker, David A Eccles, Kristel R van Eijk, Christian Fuchsberger, He Gao, Marine Germain, Scott D Gordon, Hugoline G de Haan, Sarah E Harris, Edith Hofer, Alicia Huerta-Chagoya, Catherine Igartua, Iris E Jansen, Yucheng Jia, Tim Kacprowski, Torgny Karlsson, Marcus E Kleber, Shengchao Alfred Li, Ruifang Li-Gao, Anubha Mahajan, Koichi Matsuda, Karina Meidtner, Weihua Meng, May E Montasser, Peter J van der Most, Matthias Munz, Teresa Nutile, Teemu Palviainen, Gauri Prasad, Rashmi B Prasad, Tallapragada Divya Sri Priyanka, Federica Rizzi, Erika Salvi, Bishwa R Sapkota, Daniel Shriner, Line Skotte, Melissa C Smart, Albert Vernon Smith, Ashley van der Spek, Cassandra N Spracklen, Rona J Strawbridge, Salman M Tajuddin, Stella Trompet, Constance Turman, Niek Verweij, Clara Viberti, Lihua Wang, Helen R Warren, Robyn E Wootton, Lisa R Yanek, Jie Yao, Noha A Yousri, Wei Zhao, Adebowale A Adeyemo, Saima Afaq, Carlos Alberto Aguilar-Salinas, Masato Akiyama, Matthew L Albert, Matthew A Allison, Maris Alver, Tin Aung, Fereidoun Azizi, Amy R Bentley, Heiner Boeing, Eric Boerwinkle, Judith B Borja, Gert J de Borst, Erwin P Bottinger, Linda Broer, Harry Campbell, Stephen Chanock, Miao-Li Chee, Guanjie Chen, Yii-Der I Chen, Zhengming Chen, Yen-Feng Chiu, Massimiliano Cocca, Francis S Collins, Maria Pina Concas, Janie Corley, Giovanni Cugliari, Rob M van Dam, Anna Damulina, Maryam S Daneshpour, Felix R Day, Graciela E Delgado, Klodian Dhana, Alexander S F Doney, Marcus Dörr, Ayo P Doumatey, Nduna Dzimiri, S Sunna Ebenesersdóttir, Joshua Elliott, Paul Elliott, Ralf Ewert, Janine F Felix, Krista Fischer, Barry I Freedman, Giorgia Girotto, Anuj Goel, Martin Gögele, Mark O Goodarzi, Mariaelisa Graff, Einat Granot-Hershkovitz, Francine Grodstein, Simonetta Guarrera, Daniel F Gudbjartsson, Kamran Guity, Bjarni Gunnarsson, Yu Guo, Saskia P Hagenaars, Christopher A Haiman, Avner Halevy, Tamara B Harris, Mehdi Hedayati, David A van Heel, Makoto Hirata, Imo Höfer, Chao Agnes Hsiung, Jinyan Huang, Yi-Jen Hung, M Arfan Ikram, Anuradha Jagadeesan, Pekka Jousilahti, Yoichiro Kamatani, Masahiro Kanai, Nicola D Kerrison, Thorsten Kessler, Kay-Tee Khaw, Chiea Chuen Khor, Dominique P V de Kleijn, Woon-Puay Koh, Ivana Kolcic, Peter Kraft, Bernhard K Krämer, Zoltán Kutalik, Johanna Kuusisto, Claudia Langenberg, Lenore J Launer, Deborah A Lawlor, I-Te Lee, Wen-Jane Lee, Markus M Lerch, Liming Li, Jianjun Liu, Marie Loh, Stephanie J London, Stephanie Loomis, Yingchang Lu, Jian’an Luan, Reedik Mägi, Ani W Manichaikul, Paolo Manunta, Gísli Másson, Nana Matoba, Xue W Mei, Christa Meisinger, Thomas Meitinger, Massimo Mezzavilla, Lili Milani, Iona Y Millwood, Yukihide Momozawa, Amy Moore, Pierre-Emmanuel Morange, Hortensia Moreno-Macías, Trevor A Mori, Alanna C Morrison, Taulant Muka, Yoshinori Murakami, Alison D Murray, Renée de Mutsert, Josyf C Mychaleckyj, Mike A Nalls, Matthias Nauck, Matt J Neville, Ilja M Nolte, Ken K Ong, Lorena Orozco, Sandosh Padmanabhan, Gunnar Pálsson, James S Pankow, Cristian Pattaro, Alison Pattie, Ozren Polasek, Neil Poulter, Peter P Pramstaller, Lluis Quintana-Murci, Katri Räikkönen, Sarju Ralhan, Dabeeru C Rao, Wouter van Rheenen, Stephen S Rich, Paul M Ridker, Cornelius A Rietveld, Antonietta Robino, Frank J A van Rooij, Daniela Ruggiero, Yasaman Saba, Charumathi Sabanayagam, Maria Sabater-Lleal, Cinzia Felicita Sala, Veikko Salomaa, Kevin Sandow, Helena Schmidt, Laura J Scott, William R Scott, Bahareh Sedaghati-Khayat, Bengt Sennblad, Jessica van Setten, Peter J Sever, Wayne H-H Sheu, Yuan Shi, Smeeta Shrestha, Sharvari Rahul Shukla, Jon K Sigurdsson, Timo Tonis Sikka, Jai Rup Singh, Blair H Smith, Alena Stančáková, Alice Stanton, John M Starr, Lilja Stefansdottir, Leon Straker, Patrick Sulem, Gardar Sveinbjornsson, Morris A Swertz, Adele M Taylor, Kent D Taylor, Natalie Terzikhan, Yih-Chung Tham, Gudmar Thorleifsson, Unnur Thorsteinsdottir, Annika Tillander, Russell P Tracy, Teresa Tusié-Luna, Ioanna Tzoulaki, Simona Vaccargiu, Jagadish Vangipurapu, Jan H Veldink, Veronique Vitart, Uwe Völker, Eero Vuoksimaa, Salma M Wakil, Melanie Waldenberger, Gurpreet S Wander, Ya Xing Wang, Nicholas J Wareham, Sarah Wild, Chittaranjan S Yajnik, Jian-Min Yuan, Lingyao Zeng, Liang Zhang, Jie Zhou, Najaf Amin, Folkert W Asselbergs, Stephan J L Bakker, Diane M Becker, Benjamin Lehne, David A Bennett, Leonard H van den Berg, Sonja I Berndt, Dwaipayan Bharadwaj, Lawrence F Bielak, Murielle Bochud, Mike Boehnke, Claude Bouchard, Jonathan P Bradfield, Jennifer A Brody, Archie Campbell, Shai Carmi, Mark J Caulfield, David Cesarini, John C Chambers, Giriraj Ratan Chandak, Ching-Yu Cheng, Marina Ciullo, Marilyn Cornelis, Daniele Cusi, George Davey Smith, Ian J Deary, Rajkumar Dorajoo, Cornelia M van Duijn, David Ellinghaus, Jeanette Erdmann, Johan G Eriksson, Evangelos Evangelou, Michele K Evans, Jessica D Faul, Bjarke Feenstra, Mary Feitosa, Sylvain Foisy, Andre Franke, Yechiel Friedlander, Paolo Gasparini, Christian Gieger, Clicerio Gonzalez, Philippe Goyette, Struan F A Grant, Lyn R Griffiths, Leif Groop, Vilmundur Gudnason, Ulf Gyllensten, Hakon Hakonarson, Anders Hamsten, Pim van der Harst, Chew-Kiat Heng, Andrew A Hicks, Hagit Hochner, Heikki Huikuri, Steven C Hunt, Vincent W V Jaddoe, Philip L De Jager, Magnus Johannesson, Åsa Johansson, Jost B Jonas, J Wouter Jukema, Juhani Junttila, Jaakko Kaprio, Sharon L. R. Kardia, Fredrik Karpe, Meena Kumari, Markku Laakso, Sander W van der Laan, Jari Lahti, Matthias Laudes, Rodney A Lea, Wolfgang Lieb, Thomas Lumley, Nicholas G Martin, Winfried März, Giuseppe Matullo, Mark I McCarthy, Sarah E Medland, Tony R Merriman, Andres Metspalu, Brian F Meyer, Karen L Mohlke, Grant W Montgomery, Dennis Mook-Kanamori, Patricia B Munroe, Kari E North, Dale R Nyholt, Jeffery R O’connell, Carole Ober, Albertine J Oldehinkel, Walter Palmas, Colin Palmer, Gerard G Pasterkamp, Etienne Patin, Craig E Pennell, Louis Perusse, Patricia A Peyser, Mario Pirastu, Tinca J. C. Polderman, David J Porteous, Danielle Posthuma, Bruce M Psaty, John D Rioux, Fernando Rivadeneira, Charles Rotimi, Jerome I Rotter, Igor Rudan, Hester M Den Ruijter, Dharambir K Sanghera, Naveed Sattar, Reinhold Schmidt, Matthias B Schulze, Heribert Schunkert, Robert A Scott, Alan R Shuldiner, Xueling Sim, Neil Small, Jennifer A Smith, Nona Sotoodehnia, E-Shyong Tai, Alexander Teumer, Nicholas J Timpson, Daniela Toniolo, David-Alexandre Tregouet, Tiinamaija Tuomi, Peter Vollenweider, Carol A Wang, David R Weir, John B Whitfield, Cisca Wijmenga, Tien-Yin Wong, John Wright, Jingyun Yang, Lei Yu, Babette S Zemel, Alan B Zonderman, Markus Perola, Patrik K. E. Magnusson, André G Uitterlinden, Jaspal S Kooner, Daniel I Chasman, Ruth J. F. Loos, Nora Franceschini, Lude Franke, Chris S Haley, Caroline Hayward, Robin G Walters, John R. B. Perry, Tōnu Esko, Agnar Helgason, Kari Stefansson, Peter K Joshi, Michiaki Kubo, and James F Wilson

Subjects
Science
Abstract

Inbreeding depression has been observed in many different species, but in humans a systematic analysis has been difficult so far. Here, analysing more than 1.3 million individuals, the authors show that a genomic inbreeding coefficient (FROH) is associated with disadvantageous outcomes in 32 out of 100 traits tested.

Published
2019
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3. Genetic predispositions moderate the effectiveness of tobacco excise taxes.

Author

Eric A W Slob and Cornelius A Rietveld

Subjects
Medicine, Science
Abstract

BackgroundTobacco consumption is one of the leading causes of preventable death. In this study, we analyze whether someone's genetic predisposition to smoking moderates the response to tobacco excise taxes.MethodsWe interact polygenic scores for smoking behavior with state-level tobacco excise taxes in longitudinal data (1992-2016) from the US Health and Retirement Study (N = 12,058).ResultsSomeone's genetic propensity to smoking moderates the effect of tobacco excise taxes on smoking behavior along the extensive margin (smoking vs. not smoking) and the intensive margin (the amount of tobacco consumed). In our analysis sample, we do not find a significant gene-environment interaction effect on smoking cessation.ConclusionsWhen tobacco excise taxes are relatively high, those with a high genetic predisposition to smoking are less likely (i) to smoke, and (ii) to smoke heavily. While tobacco excise taxes have been effective in reducing smoking, the gene-environment interaction effects we observe in our sample suggest that policy makers could benefit from taking into account the moderating role of genes in the design of future tobacco control policies.

Published
2021
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4. Meta-GWAS Accuracy and Power (MetaGAP) Calculator Shows that Hiding Heritability Is Partially Due to Imperfect Genetic Correlations across Studies.

Author

Ronald de Vlaming, Aysu Okbay, Cornelius A Rietveld, Magnus Johannesson, Patrik K E Magnusson, André G Uitterlinden, Frank J A van Rooij, Albert Hofman, Patrick J F Groenen, A Roy Thurik, and Philipp D Koellinger

Subjects
Genetics, QH426-470
Abstract

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 R2 of 36-38%). Hence, cross-study heterogeneity contributes to the missing heritability.

Published
2017
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5. Genetic variation associated with differential educational attainment in adults has anticipated associations with school performance in children.

Author

Mary E Ward, George McMahon, Beate St Pourcain, David M Evans, Cornelius A Rietveld, Daniel J Benjamin, Philipp D Koellinger, David Cesarini, Social Science Genetic Association Consortium, George Davey Smith, and Nicholas J Timpson

Subjects
Medicine, Science
Abstract

Genome-wide association study results have yielded evidence for the association of common genetic variants with crude measures of completed educational attainment in adults. Whilst informative, these results do not inform as to the mechanism of these effects or their presence at earlier ages and where educational performance is more routinely and more precisely assessed. Single nucleotide polymorphisms exhibiting genome-wide significant associations with adult educational attainment were combined to derive an unweighted allele score in 5,979 and 6,145 young participants from the Avon Longitudinal Study of Parents and Children with key stage 3 national curriculum test results (SATS results) available at age 13 to 14 years in English and mathematics respectively. Standardised (z-scored) results for English and mathematics showed an expected relationship with sex, with girls exhibiting an advantage over boys in English (0.433 SD (95%CI 0.395, 0.470), p

Published
2014
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6. The molecular genetic architecture of self-employment.

Author

Matthijs J H M van der Loos, Cornelius A Rietveld, Niina Eklund, Philipp D Koellinger, Fernando Rivadeneira, Gonçalo R Abecasis, Georgina A Ankra-Badu, Sebastian E Baumeister, Daniel J Benjamin, Reiner Biffar, Stefan Blankenberg, Dorret I Boomsma, David Cesarini, Francesco Cucca, Eco J C de Geus, George Dedoussis, Panos Deloukas, Maria Dimitriou, Guðny Eiriksdottir, Johan Eriksson, Christian Gieger, Vilmundur Gudnason, Birgit Höhne, Rolf Holle, Jouke-Jan Hottenga, Aaron Isaacs, Marjo-Riitta Järvelin, Magnus Johannesson, Marika Kaakinen, Mika Kähönen, Stavroula Kanoni, Maarit A Laaksonen, Jari Lahti, Lenore J Launer, Terho Lehtimäki, Marisa Loitfelder, Patrik K E Magnusson, Silvia Naitza, Ben A Oostra, Markus Perola, Katja Petrovic, Lydia Quaye, Olli Raitakari, Samuli Ripatti, Paul Scheet, David Schlessinger, Carsten O Schmidt, Helena Schmidt, Reinhold Schmidt, Andrea Senft, Albert V Smith, Timothy D Spector, Ida Surakka, Rauli Svento, Antonio Terracciano, Emmi Tikkanen, Cornelia M van Duijn, Jorma Viikari, Henry Völzke, H-Erich Wichmann, Philipp S Wild, Sara M Willems, Gonneke Willemsen, Frank J A van Rooij, Patrick J F Groenen, André G Uitterlinden, Albert Hofman, and A Roy Thurik

Subjects
Medicine, Science
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

Published
2013
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7. Rank concordance of polygenic indices

Author

Dilnoza Muslimova, Rita Dias Pereira, Stephanie von Hinke, Hans van Kippersluis, Cornelius A. Rietveld, and S. Fleur W. Meddens

Subjects
Behavioral Neuroscience, Social Psychology, Experimental and Cognitive Psychology
Published
2023

8. Entrepreneurial orientation and decision making under risk and uncertainty: Experimental evidence from the Columbia Card Task

Author

Nienke F. S. Dijkstra, Kristel de Groot, Cornelius A. Rietveld, Applied Economics, and Research Methods and Techniques

Subjects
Arts and Humanities (miscellaneous), Developmental and Educational Psychology, Applied Psychology
Abstract

We analyze the relationship between entrepreneurship and decision-making under risk and uncertainty using the Columbia Card Task: an experimental task eliciting affective decision-making under conditions of risk and uncertainty. In a sample of 127 university students, we find robust evidence that individual entrepreneurial orientation (IEO) is negatively related to decision-making under risk and uncertainty. In addition, we show that distinguishing the subscales of IEO is key to understanding this relationship, since while the relationship is negative for the Proactiveness and Innovativeness subscales, it is positive for the Risk taking subscale. Moderation analyses show that heterogeneous sensitivity towards possible gains and losses explains the main relationship.

Published
2022

9. Gender inequality and the entrepreneurial gender gap: Evidence from 97 countries (2006–2017)

Author

Cornelius A. Rietveld, Pankaj C. Patel, and Applied Economics

Subjects
Economics and Econometrics, SDG 5 - Gender Equality, SDG 8 - Decent Work and Economic Growth, SDG 10 - Reduced Inequalities, General Business, Management and Accounting
Abstract

Although it seems almost a stylized fact that females are less likely than males to start new ventures, closing this gender gap is essential to foster sustainable economic growth. In this study, we analyze whether gender inequality, as measured at the country level by the World Economic Forum since 2006, is associated with the gender gap in entrepreneurship. By analyzing country-level information about gender inequality (97 countries) in combination with individual-level data from the Global Entrepreneurship Monitor (1,905,665 individuals) from the years 2006 to 2017, we find that in more gender equal countries involvement in total early-stage entrepreneurial activity (TEA) is higher. Gender inequality moderates the effect of gender on TEA, by almost closing the gender gap in entrepreneurship in the most gender equal countries. We show that gender inequalities in economic participation and opportunity as well as in political empowerment are the main drivers of this interaction effect. We find similar patterns when distinguishing between opportunity-driven and necessity-driven TEA. With opportunity-driven entrepreneurship as a potential vehicle for the economic empowerment of females, our study highlights the role of policies stimulating gender equality.

Published
2022

10. The impact of entrepreneurship research on other academic fields

Author

A. Roy Thurik, David B. Audretsch, Jörn H. Block, Andrew Burke, Martin A. Carree, Marcus Dejardin, Cornelius A. Rietveld, Mark Sanders, Ute Stephan, and Johan Wiklund

Subjects
Scientific impact, Economics and Econometrics, History of Economic Thought, Methodology, Entrepreneurship, b00 - History of Economic Thought, New Firms, Startups, General Business, Management and Accounting, Academic fields, l26 - Entrepreneurship, o30 - "Technological Change, Research and Development, Intellectual Property Rights: General", and Heterodox Approaches, Technological Change, Intellectual Property Rights: General, m13 - "New Firms, Startups"
Abstract

Plain English SummaryEntrepreneurship research questions the core assumptions of other academic fields and legitimizes them both practically and academically. Since the 1980s, entrepreneurship research has seen tremendous growth and development, establishing itself as an academic field. Entrepreneurship is also taught extensively in leading business schools around the world. Indeed, few business schools do not address entrepreneurship in their curriculum. This represents a sea change: although entrepreneurs and new ventures had a remarkable impact on society, academia barely noticed it in the 1980s. Simply put: economics and business students rarely, if ever, encountered any mention of entrepreneurship during their studies. While entrepreneurship research has now developed its own methodological toolbox, it has extensively borrowed perspectives, theories, and methods from other fields. In the 2020s, we now find that entrepreneurship scholars are sharing its toolbox with other academic fields, questioning the core assumptions of other academic fields and providing new insights into the antecedents, mechanisms, and consequences of their respective core phenomena. Moreover, entrepreneurship research helps to legitimize other academic fields both practically and academically. Hence, entrepreneurship research now plays not just an important role in entrepreneurship education, practice, and policy but also throughout many other research fields.The remarkable ascent of entrepreneurship witnessed as a scientific field over the last 4 decades has been made possible by entrepreneurship's ability to absorb theories, paradigms, and methods from other fields such as economics, psychology, sociology, geography, and even biology. The respectability of entrepreneurship as an academic discipline is now evidenced by many other fields starting to borrow from the entrepreneurship view. In the present paper, seven examples are given from this "pay back" development. These examples were first presented during a seminar at the Erasmus Entrepreneurship Event called what has the entrepreneurship view to offer to other academic fields? This article elaborates on the core ideas of these presentations and focuses on the overarching question of how entrepreneurship research impacts the development of other academic fields. We found that entrepreneurship research questions the core assumptions of other academic fields and provides new insights into the antecedents, mechanisms, and consequences of their respective core phenomena. Moreover, entrepreneurship research helps to legitimize other academic fields both practically and academically.

Published
2023

12. The impact of the public disclosure of curved inspection scores using emojis on hygiene violations in food establishments

Author

Cornelius A. Rietveld, Pankaj C. Patel, and Applied Economics

Subjects
030505 public health, Emoji, media_common.quotation_subject, 05 social sciences, digestive, oral, and skin physiology, education, Front door, Zip code, humanities, Odds, 03 medical and health sciences, stomatognathic diseases, Hygiene, Tourism, Leisure and Hospitality Management, Food inspection, 0502 economics and business, Business, Public disclosure, Marketing, 0305 other medical science, SDG 12 - Responsible Consumption and Production, Consumer behaviour, 050205 econometrics, media_common
Abstract

Policymakers increasingly develop initiatives to influence business and consumer behavior. Among the initiatives to increase the compliance of food establishments to hygiene standards is the public disclosure of hygiene inspection scores. In this study, we analyze the impact of the 2017 law change in King County (Washington state, USA) mandating the presentation of hygiene inspection scores at the front door using an emoji-based display with information about the food establishment’s relative performance to other food establishments in the zip code area. Based on information from 82,545 food inspections in 8,010 food establishments in the period August 2014 to May 2019, we find that the rolling implementation of these displays had a small but meaningful impact on food inspection scores and hygiene violations. As a result of the new display, hygiene scores improved and the odds of failing inspection declined.

Published
2021

13. The relation between public assistance and self-employment in census tracts: a long-term perspective

Author

Cornelius A. Rietveld, Pankaj C. Patel, Igor Muzetti Pereira, and Applied Economics

Subjects
Economics and Econometrics, Entrepreneurship, Poverty, media_common.quotation_subject, Perspective (graphical), Census, General Business, Management and Accounting, Term (time), Negative relationship, SDG 1 - No Poverty, Economics, Demographic economics, Welfare, Self-employment, media_common
Abstract

We present evidence on the long-term relationship between the breadth (the proportion of households) and depth (the amount per household) of public assistance and the prevalence of self-employment in US neighbourhoods. The analysis of decennial data of 71,437 census tracts over four decades (1970 to 2000) shows that the poverty ratio lowers self-employment, and that breadth (but not depth) of public assistance mitigates the negative relationship between the poverty ratio and self-employment. The results are robust to alternate model specifications and are informative about the distributional effects of welfare spendings.

Published
2021

14. Rank concordance of polygenic indices: Implications for personalised intervention and gene-environment interplay

Author

Dilnoza Muslimova, Rita Dias Pereira, Stephanie von Hinke, Hans van Kippersluis, Cornelius A. Rietveld, S. Fleur W. Meddens, and Applied Economics

Subjects
SDG 3 - Good Health and Well-being
Abstract

Polygenic indices (PGIs) are increasingly used to identify individuals at high risk of developing diseases and disorders and are advocated as a screening tool for personalised intervention in medicine and education. The performance of PGIs is typically assessed in terms of the amount of phenotypic variance they explain in independent prediction samples. However, the correct ranking of individuals in the PGI distribution is a more important performance metric when identifying individuals at high genetic risk. We empirically assess the rank concordance between PGIs that are created with different construction methods and discovery samples, focusing on cardiovascular disease (CVD) and educational attainment (EA). We find that the rank correlations between the constructed PGIs vary strongly (Spearman correlations between 0.17 and 0.94 for CVD, and between 0.40 and 0.85 for EA), indicating highly unstable rankings across different PGIs for the same trait. Simulations show that measurement error in PGIs is responsible for a substantial part of PGI rank discordance. Potential consequences for personalised medicine in CVD and research on gene-environment (G×E) interplay are illustrated using data from the UK Biobank.

Published
2022

16. A Critical Assessment of the National Expert Survey Data of the Global Entrepreneurship Monitor

Author

Cornelius A. Rietveld, Pankaj C. Patel, and Applied Economics

Subjects
Economics and Econometrics, Business and International Management
Abstract

Data collected through the National Expert Survey (NES) of the Global Entrepreneurship Monitor (GEM) are widely used to benchmark and assess the quality and impact of national entrepreneurial ecosystems. Based on a comprehensive analysis of the publicly available NES data, we show that the construct validity of the survey is not sufficient and that the experts differ so greatly in their evaluations of the entrepreneurial framework conditions (EFCs) in a country that meaningful cross-country and within-country (longitudinal) analyses are precluded. We conclude that the currently available NES data are not suited for motivating policy decisions.

Published
2022

17. The Economics and Econometrics of Gene–Environment Interplay

Author

Pietro Biroli, Titus J. Galama, Stephanie von Hinke, Hans van Kippersluis, Cornelius A. Rietveld, and Kevin Thom

Subjects
History, Polymers and Plastics, Business and International Management, Industrial and Manufacturing Engineering
Published
2022

18. Multivariate analysis reveals shared genetic architecture of brain morphology and human behavior

Author

Philip R. Jansen, Patrick J. F. Groenen, Cornelius A. Rietveld, Ronald de Vlaming, Alain Dagher, Philipp Koellinger, Eric A. W. Slob, de Vlaming, Ronald [0000-0001-6416-6067], Jansen, Philip R [0000-0003-1550-2444], Dagher, Alain [0000-0002-0945-5779], Groenen, Patrick JF [0000-0001-6683-8971], Rietveld, Cornelius A [0000-0003-4053-1861], Apollo - University of Cambridge Repository, Groenen, Patrick J F [0000-0001-6683-8971], Applied Economics, Child and Adolescent Psychiatry / Psychology, Econometrics, Erasmus School of Economics, Economics, Amsterdam Neuroscience - Complex Trait Genetics, Complex Trait Genetics, Jansen, Philip R. [0000-0003-1550-2444], Groenen, Patrick J. F. [0000-0001-6683-8971], Rietveld, Cornelius A. [0000-0003-4053-1861], Human genetics, APH - Aging & Later Life, and APH - Mental Health

Subjects
Male, Multivariate statistics, Multivariate analysis, Population genetics, Restricted maximum likelihood, QH301-705.5, 45/43, Medicine (miscellaneous), 631/208/1515, Biology, 631/208/457, Genetic correlation, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, 0302 clinical medicine, SDG 3 - Good Health and Well-being, Humans, Biology (General), 030304 developmental biology, Cerebral Cortex, 0303 health sciences, Behavior, Models, Genetic, Genome, Human, Brain morphometry, article, Brain, Heritability, Phenotype, Genetic architecture, Evolutionary biology, Multivariate Analysis, Behavioural genetics, Female, General Agricultural and Biological Sciences, 030217 neurology & neurosurgery
Abstract

Human variation in brain morphology and behavior are related and highly heritable. Yet, it is largely unknown to what extent specific features of brain morphology and behavior are genetically related. Here, we introduce a computationally efficient approach for multivariate genomic-relatedness-based restricted maximum likelihood (MGREML) to estimate the genetic correlation between a large number of phenotypes simultaneously. Using individual-level data (N = 20,190) from the UK Biobank, we provide estimates of the heritability of gray-matter volume in 74 regions of interest (ROIs) in the brain and we map genetic correlations between these ROIs and health-relevant behavioral outcomes, including intelligence. We find four genetically distinct clusters in the brain that are aligned with standard anatomical subdivision in neuroscience. Behavioral traits have distinct genetic correlations with brain morphology which suggests trait-specific relevance of ROIs. These empirical results illustrate how MGREML can be used to estimate internally consistent and high-dimensional genetic correlation matrices in large datasets., Ronald de Vlaming and Eric Slob et al. present MGREML, a multivariate tool to estimate pairwise genetic correlations between multiple traits. They apply MGREML to UK Biobank data for 74 brain imaging phenotypes and 8 behavioral traits, demonstrating that these phenotypes have distinct genetic correlations with brain morphology.

Published
2021

19. Effect of Genetic Propensity for Obesity on Income and Wealth Through Educational Attainment

Author

Pankaj C. Patel, Cornelius A. Rietveld, and Applied Economics

Subjects
Male, Longitudinal data, Endocrinology, Diabetes and Metabolism, Medicine (miscellaneous), 030209 endocrinology & metabolism, Body weight, Education, 03 medical and health sciences, 0302 clinical medicine, Endocrinology, SDG 3 - Good Health and Well-being, Risk Factors, medicine, Genetic predisposition, Humans, Genetic Predisposition to Disease, 030212 general & internal medicine, Longitudinal Studies, Obesity, Genetic risk, 10. No inequality, Brief Cutting Edge Report, Aged, Nutrition and Dietetics, Epidemiology/Genetics, Individual income, Health and Retirement Study, Middle Aged, medicine.disease, Educational attainment, Brief Cutting Edge Reports, Income, Female, Psychology, Demography
Abstract

textabstractObjective: This study contributes to the literature on the income and wealth consequences of obesity by exploiting recent discoveries about the genetic basis of BMI. Methods: The relation between a genetic risk score (GRS) for BMI, which reflects the genetic predisposition to have a higher body weight, and income and wealth was analyzed in a longitudinal data set comprising 5,962 individuals (22,490 individual-year observations) from the US Health and Retirement Study. Results: Empirical analyses showed that the GRS for BMI lowers individual income and household wealth through the channel of lower educational attainment. Sex-stratified analyses showed that this effect is particularly significant among females. Conclusions: This study provides support for the negative effects of the GRS for BMI on individual income and household wealth through lower education for females. For males, the effects are estimated to be smaller and insignificant. The larger effects for females compared with males may be due to greater labor market taste-based discrimination faced by females.

Published
2019

20. ADHD and later-life labor market outcomes in the United States

Author

Cornelius A. Rietveld, Pankaj C. Patel, and Applied Economics

Subjects
Employment, Male, Multifactorial Inheritance, Labor market outcomes, media_common.quotation_subject, J01, Economics, Econometrics and Finance (miscellaneous), Educational attainment, 03 medical and health sciences, 0302 clinical medicine, Polygenic risk score, Disability benefits, mental disorders, ADHD, Humans, Longitudinal Studies, 030212 general & internal medicine, Endogeneity, media_common, Estimation, Original Paper, Health economics, 030503 health policy & services, Health Policy, I14, Middle Aged, United States, Social security, Attention Deficit Disorder with Hyperactivity, 8. Economic growth, Cohort, Unemployment, Educational Status, Female, Demographic economics, 0305 other medical science, Psychology
Abstract

This study analyzes the relation between attention-deficit hyperactivity disorder (ADHD) and later-life labor market outcomes in the United States and whether these relationships are mediated by educational attainment. To overcome endogeneity concerns in the estimation of these relationships, we exploit the polygenic risk score (PRS) for ADHD in a cohort where the diagnosis of and treatment for ADHD were generally not available. We find that an increase in the PRS for ADHD reduces the likelihood of employment, individual income, and household wealth. Moreover, it increases the likelihood of receiving social security disability benefits, unemployment or worker compensation, and other governmental transfers. We provide evidence that educational attainment mediates these relationships to a considerable extent (14-58%).

Published
2019

21. God and His Works from an Entrepreneurship Perspective

Author

Cornelis van der Kooi, Cornelius A. Rietveld, and Applied Economics

Subjects
Entrepreneurship, Metaphor, media_common.quotation_subject, Religious studies, biblical narrative, SDG 8 - Decent Work and Economic Growth, entrepreneurship, Systematic theology, Church history, doctrine of God, Epistemology, New Testament, Humanity, Narrative, creation, Sociology, Theology, oikonomia, Reformed theology, media_common, Drama
Abstract

This article explores to what extent God and his works can be understood in terms of entrepreneurship. We give several theological reasons for using this lens, and we survey briefly the use of the word ‘oikonomia’ in the New Testament, the early church, and Reformed theology. Thereafter, we investigate how the entrepreneurship metaphor fits the narrative of the Bible. We argue that by looking at how features of entrepreneurship can be found in the way in which the triune God acts, we obtain a more comprehensive view on our history as a risky drama between God and humanity. The metaphor also highlights the important role played by humans in letting creation flourish.

Published
2019

22. The Interplay between Maternal Smoking and Genes in Offspring Birth Weight

Author

Pereira Rd, van Kippersluis H, and Cornelius A. Rietveld

Subjects
Longitudinal study, Organizational Behavior and Human Resource Management, Economics and Econometrics, Offspring, Birth weight, Strategy and Management, Article, Nicotine, chemistry.chemical_compound, Management of Technology and Innovation, Polygenic score, medicine, Genetic predisposition, Mendelian randomization, Maternal smoking, Pregnancy, business.industry, Environmental exposure, ALSPAC, medicine.disease, Gene-environment interaction, chemistry, business, Cotinine, Demography, medicine.drug
Abstract

It is well-established that both the child’s genetic endowments as well as maternal smoking during pregnancy impact offspring birth weight. In this paper we move beyond the natureversusnurture debate by investigating the interaction between genetic endowments and this critical prenatal environmental exposure – maternal smoking – in determining birth weight. We draw on longitudinal data from the Avon Longitudinal Study of Parents and Children (ALSPAC) study and replicate our results using data from the UK Biobank. Genetic endowments of the children are proxied with a polygenic score that is constructed based on the results of the most recent genome-wide association study of birth weight. We instrument the maternal decision to smoke during pregnancy with a genetic variant (rs1051730) located in the nicotine receptor gene CHRNA3. This genetic variant is associated with the number of cigarettes consumed daily, and we present evidence that this is plausibly the only channel through which the maternal genetic variant affects the child’s birth weight. Additionally, we deal with the misreporting of maternal smoking by using measures of cotinine, a biomarker of nicotine, collected from the mother’s urine during their pregnancy. We confirm earlier findings that genetic endowments as well as maternal smoking during pregnancy significantly affects the child’s birth weight. However, we do not find evidence of meaningful interactions between genetic endowments and an adverse fetal environment, suggesting that the child’s genetic predisposition cannot cushion the damaging effects of maternal smoking.

Published
2022

23. The mediating role of values in the relationship between religion and entrepreneurship

Author

Cornelius A. Rietveld, Brigitte Hoogendoorn, and Applied Economics

Subjects
Value (ethics), Economics and Econometrics, Entrepreneurship, 05 social sciences, General Business, Management and Accounting, European Social Survey, Social order, Plain English, 0502 economics and business, Openness to experience, Sociology, 050207 economics, Empirical evidence, Social psychology, 050203 business & management, Reciprocal
Abstract

An emerging stream of literature argues that values entail a prime channel through which belonging to a religion and entrepreneurship are related. In this study, we introduce Schwartz’s theory of basic human values to theorize on the role of values in the reciprocal relationship between belonging to a religion and entrepreneurship. Based on the motivational goal of each value, we argue that the value priorities of people belonging to a religion are opposite to these of entrepreneurs. We also go beyond earlier studies highlighting values as a prominent channel through which religion and entrepreneurship are connected by providing empirical evidence about the extent to which values mediate this relationship. By drawing on data from eight biennial survey waves (2002–2016) of the European Social Survey (32 countries), we show that individuals who belong to a religion prioritize values related to conservation higher than values related to openness to change, whereas the opposite is true for entrepreneurs. This contrast in value priorities cushions the relationship between belonging to a religion and entrepreneurship. However, both those belonging to a religion and entrepreneurs prioritize values related to self-transcendence over those related to self-enhancement. These relationships are fairly constant across the major religions in Europe, but do depend on how actively people engage in a religion and the type of entrepreneurship.Plain English Summary New evidence about how values can explain the relationship between belonging to a religion and being an entrepreneur. For many people, religion provides the moral codes by which they live and herewith it shapes individual decision-making including the choice for certain occupations. However, religions do not prescribe occupational choices directly but shape these choices indirectly. A prominent role for values in the relationship between belonging to a religion and entrepreneurship is widely acknowledged theoretically, but hardly tested empirically. In this study, we use Schwartz’ theory of basic human values to test this relationship and show that the value priorities of individuals belonging to a religion are opposite to those of entrepreneurs. Individuals who belong to a religion prioritize values related to conserving the social order higher than values related to openness to change and novelty, whereas the opposite is true for entrepreneurs. This contrast in value priorities weakens the relationship between belonging to a religion and entrepreneurship. Our findings are fairly constant across the major religions in Europe, but do depend on how actively people engage in a religion and the type of entrepreneurship. With a rapidly changing number of individuals adhering to a religion and increasing religious diversity in many European countries, our study is of practical importance by showing how these trends may have an impact on a country’s entrepreneurship rate.

Published
2021

24. Does globalization affect perceptions about entrepreneurship? The role of economic development

Author

Pankaj C. Patel, Cornelius A. Rietveld, Applied Economics, and Erasmus School of Economics

Subjects
Economics and Econometrics, Economic growth, Entrepreneurship, media_common.quotation_subject, 05 social sciences, SDG 8 - Decent Work and Economic Growth, Inclusive growth, Affect (psychology), General Business, Management and Accounting, Globalization, Fear of failure, Perception, Political science, 0502 economics and business, 050207 economics, 050203 business & management, media_common
Abstract

Drawing on the World Economic Forum’s goals of inclusive growth, we analyze whether globalization imbues confidence to engage in entrepreneurship in countries at different stages of economic development. We focus on the association between globalization and three core perceptions about entrepreneurship—the perceived presence of good opportunities to start a business in the local area, perceived skills and abilities to start a business, and fear of failure prevents one from starting a business. Using a combination of individual-level data from the Global Entrepreneurship Monitor (1,752,636 individuals) and country-level data from the KOF Swiss Economic Institute and World Bank (103 countries) from the years 2001 to 2016, we find that globalization negatively impacts the perceived opportunities for entrepreneurship. However, globalization does not meaningfully change perceived entrepreneurial skills or fear of failure. Interaction analyses further show that the economic development of a country moderates the effect of globalization on perceived opportunities. The findings highlight that the role of globalization in improving perceptions towards entrepreneurship is partly conditional on the stage of economic development of a country.

Published
2021

25. The moderating impact of the genetic predisposition to smoking behaviour on the response to tobacco excise taxes

Author

Cornelius A. Rietveld and Eric A. W. Slob

Subjects
Smoke, Consumption (economics), business.industry, Environmental health, medicine.medical_treatment, Genetic predisposition, Medicine, Smoking cessation, Polygenic risk score, Excise, Health and Retirement Study, business, Affect (psychology)
Abstract

Tobacco consumption is one of the leading causes of preventable death. While some public policies have been effective in reducing the smoking prevalence in the United States, high tobacco excise taxes do not appear to deter all individuals from starting smoking nor to affect the smoking intensity of all those who do smoke. Here, we analyse whether someone’s genetic predisposition to smoking may explain why individuals smoke despite high tobacco excise taxes. For this purpose, we interact polygenic risk scores for smoking behaviour with state-level excise tax rates on tobacco. Our analyses exploiting longitudinal data (1992-2016) from the US Health and Retirement Study show that someone’s genetic propensity to smoking moderates the effect of tobacco excise taxes on smoking behaviour along the extensive margin (smoking vs. not smoking) and the intensive margin (the amount of tobacco consumed). That is, when tobacco excise taxes are relatively low, those with a high genetic predisposition to smoking are more likely (i) to smoke, and (ii) to smoke a relatively high number of cigarettes per day. In our sample, we do not find a significant interaction effect on smoking cessation.

Published
2020

26. The polygenic risk score of subjective well-being, self-employment, and earnings among older individuals

Author

Pankaj C. Patel, Marcus T. Wolfe, Johan Wiklund, Cornelius A. Rietveld, and Applied Economics

Subjects
0303 health sciences, Economics and Econometrics, Earnings, 05 social sciences, Genetic variants, 03 medical and health sciences, 0502 economics and business, Polygenic risk score, Business and International Management, Subjective well-being, Psychology, 050203 business & management, Self-employment, 030304 developmental biology, Clinical psychology
Abstract

We investigate whether the polygenic risk score (PRS) of subjective well-being (SWB), a weighted combination of multiple genetic variants which captures an individual’s time-invariant genetic predisposition to SWB, influences the choice of self-employment and whether it explains differences in earnings between older self-employed and employed workers. In a sample of 4,571 individuals (50 to 65 years old) representing 14,937 individual-year observations from the Health and Retirement Study, we find that the PRS of SWB is positively associated with self-employment and earnings. However, contrary to our expectations, the positive association with earnings is not significantly different between self-employed and employed individuals.

Published
2020

27. Separation From the Life Partner and Exit From Self-Employment

Author

Leanne van Loon, Jolanda Hessels, Cornelius A. Rietveld, Peter van der Zwan, and Applied Economics

Subjects
Life partner, household income, media_common.quotation_subject, Separation (statistics), exit, lcsh:BF1-990, Wage, self-employment, social functioning, lcsh:Psychology, Unemployment, Psychology, Household income, Position (finance), Demographic economics, life partner, General Psychology, Self-employment, Original Research, media_common, Social functioning
Abstract

The survival of businesses in the market often hinges on contributions of the business owner’s household members. Partners of the self-employed as well as their children may, for example, provide emotional support but also cheap and flexible labor. Although the household composition of self-employed individuals has been analyzed in many earlier studies, little is known about what happens to the self-employed individual and his or her business when one separates from a life partner. We argue that separation from a life partner has profound financial and social consequences for the business owner. Specifically, we propose that a decrease in household income and social functioning (which is the degree of interference with social activities due to mental and/or physical problems) after separation from the life partner may lead to an exit from self-employment. Our empirical analysis draws on data from the longitudinal HILDA (Household, Income and Labour Dynamics in Australia) survey, for the period 2002–2017. Based on information from 4,044 self-employed individuals aged 18–64 years (18,053 individual-year observations), we find that separating from the life partner in the past year significantly increases the probability of exit from self-employment in the next year. Furthermore, we find that the positive association between separation from the life partner and exit from self-employment can be explained for 29.7% by a reduction in social functioning and for 10.7% by a reduction in household income. We study five exit routes out of self-employment and find that separation from the life partner mainly increases the probabilities of becoming a wage worker and of re-entering self-employment after experiencing an exit. For exit to unemployment or to a position outside the labor force (voluntarily inactive/retirement or any other non-labor force position), we find insignificant relationships with separation from the life partner. Furthermore, for all exit routes except retirement, we find significant indirect effects implying that decreased household income and levels of social functioning are important mechanisms through which separation from the life partner is related to exit from self-employment.

Published
2020

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

Author

Cornelius A. Rietveld, Roy Thurik, Eric A. W. Slob, and Applied Economics

Subjects
0303 health sciences, Economics and Econometrics, Entrepreneurship, Ex-ante, 05 social sciences, Variation (game tree), Individual level, General Business, Management and Accounting, Sketch, 03 medical and health sciences, Empirical research, 0502 economics and business, Identification (biology), Polygenic risk score, Positive economics, Psychology, 050203 business & management, 030304 developmental biology
Abstract

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, attempts to identify specific genetic variants underlying the heritable variation in entrepreneurship have until now been unsuccessful. We describe the methodological issues hampering the identification of associations between genetic variants and entrepreneurship, but we also outline why this search will eventually be successful. Nevertheless, we argue that the benefits of using these individual genetic variants for empirical research in the entrepreneurship domain are likely to be small. Instead, the use of summary indices comprising multiple genetic variants, so-called polygenic risk scores, is advocated. In doing so, we stress the caveats associated with applying population-level results to the individual level. By drawing upon the promises of “genoeconomics,” we sketch how the use of genetic information may advance the field of entrepreneurship research.

Published
2020

29. Genomic analysis of diet composition finds novel loci and associations with health and lifestyle

Author

Fumiaki Imamura, George Davey Smith, Chanwook Lee, Nicholas J. Wareham, M. Arfan Ikram, George McMahon, Aysu Okbay, Frank J. A. van Rooij, Peter Bowers, Carson C. Chow, Patrick Turley, Ronald de Vlaming, Jian'an Luan, Oscar H. Franco, Trudy Voortman, Daniel J. Benjamin, André G. Uitterlinden, Casper A.P. Burik, Nita G. Forouhi, K. Paige Harden, Pauline M Emmett, Cornelius A. Rietveld, Juan R. González, Bruce H. R. Wolffenbuttel, Philipp Koellinger, Mark Alan Fontana, James J. Lee, David Cesarini, Harold Snieder, Kim Valeska Emilie Braun, Emma L Anderson, Jana V. van Vliet-Ostaptchouk, Peter J. van der Most, Richard Karlsson Linnér, Susan M. Ring, Claudia Langenberg, Tonũ Esko, Fernando Rivadeneira, Kaitlin H Wade, Jessica C. Kiefte-de Jong, Taulant Muka, Mohsen Ghanbari, S. Fleur W. Meddens, Linnér, Richard Karlsson [0000-0001-7839-2858], Okbay, Aysu [0000-0002-5170-7781], Rietveld, Cornelius A [0000-0003-4053-1861], Ghanbari, Mohsen [0000-0002-9476-7143], Imamura, Fumiaki [0000-0002-6841-8396], van der Most, Peter J [0000-0001-8450-3518], Voortman, Trudy [0000-0003-2830-6813], Wade, Kaitlin H [0000-0003-3362-6280], Braun, Kim VE [0000-0001-8738-4139], Gonzalez, Juan R [0000-0003-3267-2146], Kiefte-de Jong, Jessica C [0000-0002-8136-0918], Langenberg, Claudia [0000-0002-5017-7344], Luan, Jian'an [0000-0003-3137-6337], Ring, Susan [0000-0003-3103-9330], Rivadeneira, Fernando [0000-0001-9435-9441], Snieder, Harold [0000-0003-1949-2298], van Rooij, Frank JA [0000-0002-8600-9852], Smith, George Davey [0000-0002-1407-8314], Forouhi, Nita G [0000-0002-5041-248X], Ikram, M Arfan [0000-0003-0372-8585], Uitterlinden, Andre G [0000-0002-7276-3387], van Vliet-Ostaptchouk, Jana V [0000-0002-7943-3153], Lee, James J [0000-0001-6547-5128], Benjamin, Daniel J [0000-0002-2642-5416], Apollo - University of Cambridge Repository, Rietveld, Cornelius A. [0000-0003-4053-1861], van der Most, Peter J. [0000-0001-8450-3518], Wade, Kaitlin H. [0000-0003-3362-6280], Braun, Kim V. E. [0000-0001-8738-4139], Gonzalez, Juan R. [0000-0003-3267-2146], Kiefte-de Jong, Jessica C. [0000-0002-8136-0918], Luan, Jian’an [0000-0003-3137-6337], van Rooij, Frank J. A. [0000-0002-8600-9852], Forouhi, Nita G. [0000-0002-5041-248X], Ikram, M. Arfan [0000-0003-0372-8585], Uitterlinden, Andre G. [0000-0002-7276-3387], van Vliet-Ostaptchouk, Jana V. [0000-0002-7943-3153], Lee, James J. [0000-0001-6547-5128], Benjamin, Daniel J. [0000-0002-2642-5416], Applied Economics, Life Course Epidemiology (LCE), Lifestyle Medicine (LM), Center for Liver, Digestive and Metabolic Diseases (CLDM), Economics, and Amsterdam Neuroscience - Complex Trait Genetics

Subjects
0301 basic medicine, BETA-KLOTHO, PROTEIN-INTAKE, LD SCORE REGRESSION, Diseases, Genome-wide association study, Type 2 diabetes, METABOLIC-ACTIVITY, OBESITY RISK, Cardiovascular, Medical and Health Sciences, CHAIN AMINO-ACIDS, Body Mass Index, 631/208, 0302 clinical medicine, 2.1 Biological and endogenous factors, WIDE ASSOCIATION, SOCIOECONOMIC-STATUS, 030212 general & internal medicine, Aetiology, Psychiatry, 2. Zero hunger, Genetics, 692/699, Diabetes, article, Genomics, Biological Sciences, SDG 11 - Sustainable Cities and Communities, 3. Good health, Psychiatry and Mental health, SDG 1 - No Poverty, Type 2, WEIGHT-LOSS, Single-nucleotide polymorphism, Biology, 23andMe Research Team, Genetic correlation, 03 medical and health sciences, Cellular and Molecular Neuroscience, Lifelines Cohort Study, Behavioral and Social Science, Diabetes Mellitus, medicine, Humans, Obesity, Molecular Biology, Life Style, Metabolic and endocrine, Nutrition, Genetic association, EPIC- InterAct Consortium, Prevention, Human Genome, Psychology and Cognitive Sciences, medicine.disease, Genetic architecture, Diet, BODY-MASS INDEX, 030104 developmental biology, Diabetes Mellitus, Type 2, Body mass index, Genome-Wide Association Study
Abstract

We conducted genome-wide association studies (GWAS) of relative intake from the macronutrients fat, protein, carbohydrates, and sugar in over 235,000 individuals of European ancestries. We identified 21 unique, approximately independent lead SNPs. Fourteen lead SNPs are uniquely associated with one macronutrient at genome-wide significance (P < 5 × 10-8), while five of the 21 lead SNPs reach suggestive significance (P < 1 × 10-5) for at least one other macronutrient. While the phenotypes are genetically correlated, each phenotype carries a partially unique genetic architecture. Relative protein intake exhibits the strongest relationships with poor health, including positive genetic associations with obesity, type 2 diabetes, and heart disease (rg ≈ 0.15-0.5). In contrast, relative carbohydrate and sugar intake have negative genetic correlations with waist circumference, waist-hip ratio, and neighborhood deprivation (|rg| ≈ 0.1-0.3) and positive genetic correlations with physical activity (rg ≈ 0.1 and 0.2). Relative fat intake has no consistent pattern of genetic correlations with poor health but has a negative genetic correlation with educational attainment (rg ≈-0.1). Although our analyses do not allow us to draw causal conclusions, we find no evidence of negative health consequences associated with relative carbohydrate, sugar, or fat intake. However, our results are consistent with the hypothesis that relative protein intake plays a role in the etiology of metabolic dysfunction. This research was carried out under the auspices of the Social Science Genetic Association Consortium (SSGAC, https://www.thessgac.org/). The research has also been conducted using the UK Biobank Resource under Application Number 11425. The study was supported by funding from the Ragnar Söderberg Foundation (E9/11 and E42/15), the Swedish Research Council (421-2013-1061), The Jan Wallander and Tom Hedelius Foundation, an ERC Consolidator Grant to Philipp Koellinger (647648 EdGe), the Pershing Square Fund of the Foundations of Human Behavior, The Open Philanthropy Project (2016-152872, 010623-00001), and the NIA/NIH through grants P01-AG005842, P01-AG005842-20S2, P30-AG012810, and T32-AG000186-23 to NBER, and R01-AG042568-02 and R56-AG042568-04 to the University of Southern California. CCC was supported by the Intramural Research Program of the NIH/NIDDK and thanks Kevin Hall for informative discussions. PME was funded by Nestlé Nutrition. We thank the DietGen and CHARGE consortia for sharing diet-composition GWAS summary statistics, and we thank 23andMe, Inc., for sharing physical activity GWAS summary statistics. A full list of acknowledgements is provided in Supplementary Information 13.

Published
2020

30. Dynamic Complementarity in Skill Production: Evidence From Genetic Endowments and Birth Order

Author

Hans van Kippersluis, S. Fleur W. Meddens, Cornelius A. Rietveld, Stephanie von Hinke, and Dilnoza Muslimova

Subjects
Birth order, Firstborn, Complementarity (molecular biology), education, Instrumental variable, Economics, Econometrics, Endogeneity, Human capital, Educational attainment, Nature versus nurture
Abstract

The birth order literature emphasizes the role of parental investments in explaining why firstborns have higher human capital outcomes than their laterborn siblings. We use birth order as a proxy for investments and interact it with genetic endowments. Exploiting only within-family variation in both ensures they are exogenous as well as orthogonal to each other. As such, our setting is informative about the existence of dynamic complementarity in skill production. Our empirical analysis exploits data from 15,019 full siblings in the UK Biobank. We adopt a family-fixed effects strategy combined with instrumental variables to deal with endogeneity issues arising from omitted variables and measurement error. We find that birth order and genetic endowments interact: those with above-average genetic endowments benefit disproportionally more from being firstborn compared to those with below-average genetic endowments. This finding is a clean example of how genetic endowments ('nature’) and the environment ('nurture’) interact in producing educational attainment. Moreover, our results are consistent with the existence of dynamic complementarity in skill formation: additional parental investments associated with being firstborn are more ‘effective’ for those siblings who randomly inherited higher genetic endowments for educational attainment.

Published
2020

31. Prescription opioids and new business establishments

Author

Pankaj C. Patel, Cornelius A. Rietveld, and Applied Economics

Subjects
Economics and Econometrics, Entrepreneurship, Market participation, 05 social sciences, Opioid abuse, General Business, Management and Accounting, 03 medical and health sciences, 0302 clinical medicine, Negatively associated, Prescription opioid, 0502 economics and business, Demographic economics, 030212 general & internal medicine, Business, 050207 economics, Medical prescription
Abstract

The effects of opioid abuse on health are widely documented, however, its effects on labor market outcomes have only recently become a topic of scientific inquiry. Whereas recent economic studies focus on various measures of labor market participation, the present study analyzes whether opioid prescription rates are associated with the impetus for entrepreneurial activity. By drawing on samples of US counties and US neighbor county-pairs across state borders from the years 2007 to 2016, we find that higher opioid prescription rates are associated with fewer non-employer establishments and new firms employing 1–4 employees. In an ancillary analysis of 50 US states from the years 2006 to 2016, we further show that opioid prescription rates are associated with lower entrepreneurial activity in general and opportunity-based entrepreneurial activity in particular. Overall, both the county-level and state-level analyses show that a higher rate of opioid prescriptions is negatively associated with new business formation. Although the estimated effect sizes are small, they are sizeable in absolute terms.

Published
2020

32. The relation between health and earnings in self-employment

Author

Jolanda Hessels, Cornelius A. Rietveld, Peter van der Zwan, and Applied Economics

Subjects
Yield (finance), media_common.quotation_subject, lcsh:BF1-990, Wage, Human capital, 050105 experimental psychology, 03 medical and health sciences, 0302 clinical medicine, Psychology, Production (economics), 0501 psychology and cognitive sciences, human capital, General Psychology, health care economics and organizations, media_common, Earnings, 05 social sciences, health, Brief Research Report, Mental health, HILDA data, self-employment, lcsh:Psychology, Negative relationship, Demographic economics, 030217 neurology & neurosurgery, Self-employment, earnings
Abstract

Multiple studies have shown that, on average, the self-employed are healthier than wage workers. The link between the health of self-employed individuals and their financial performance in terms of earnings is, however, less understood. Based on human capital theory, we expect a positive link between health and earnings among the self-employed. For two reasons we expect the relationship between health and earnings to be stronger for the self-employed than for wage workers. First, the self-employed can more easily adapt their production activities such that they yield the highest returns to their human capital, including their health. Second, in the short term, the earnings of the self-employed are more dependent on the ability to work than the wages of wage workers. Our empirical analysis draws on data from the Household, Income and Labor Dynamics in Australia (HILDA) survey, a longitudinal dataset (2001–2017). Our outcome variable is an individual’s total income derived from wage work and/or running a business. Health is measured using multi-item constructs for General health, Physical health, and Mental health from the Short Form Health Survey (SF-36). We distinguish between wage workers and self-employed individuals with and without employees. Fixed-effects regressions reveal a significant positive relationship between health and earnings in self-employment as well as in wage work. As expected, this relationship is significantly stronger in self-employment than in wage work (for General health and Physical health, but not for Mental health). The latter result holds particularly for self-employment without employees. We provide evidence that the higher returns can be partly explained by the fact that the earnings in self-employment are more dependent on the ability to work (as proxied by the number of working hours) than earnings in wage work. We also find a negative relationship between health and job termination. Again, this relationship is stronger for the self-employed (without employees) than for wage workers (for General health and Mental health, but not for Physical health).

Published
2020

33. The impact of financial insecurity on the self-employed’s short-term psychological distress: Evidence from the COVID-19 pandemic

Author

Pankaj C. Patel, Cornelius A. Rietveld, and Applied Economics

Subjects
Finance, Coronavirus disease 2019 (COVID-19), Earnings, business.industry, media_common.quotation_subject, Self, Wage, Psychological distress, Term (time), Management of Technology and Innovation, Pandemic, Business and International Management, Psychology, business, Self-employment, media_common
Abstract

The earnings of the self-employed are relatively low and volatile, a risk that exacerbated during the recent COVID-19 pandemic. Using three two-weeks-apart waves of data from the Understanding America Study, we show that relative to wage workers, the self-employed experience greater psychological distress through self-reported financial insecurity (the chance of running out of money). Using additional cross-sectional data from the COVID-19 Household Impact Survey, we show that the self-reported chance of job loss disproportionally impacts the psychological distress of the self-employed. Together, these results underscore that the economic uncertainties induced by the COVID-19 pandemic hit the self-employed particularly harsh by deteriorating short-term psychological distress. Moreover, our study is informative about the impact of income uncertainty on psychological distress.

Published
2020

34. Depression and entrepreneurial exit

Author

Jolanda Hessels, Cornelius A. Rietveld, P.W. van der Zwan, A.R. (Roy) Thurik, and Applied Economics

Subjects
Marketing, Entrepreneurship, Strategy and Management, media_common.quotation_subject, 05 social sciences, Stressor, Applied psychology, Mental health, Variety (cybernetics), Depression (economics), Work (electrical), SDG 3 - Good Health and Well-being, 0502 economics and business, Survey data collection, Personality, 050207 economics, Business and International Management, Psychology, 050203 business & management, media_common
Abstract

Entrepreneurs frequently work in highly unpredictable environments and are involved in a wide variety of tasks for which they are often ill prepared. Good mental health is of utmost importance to adequately manage the challenges, adversity, and stressors that come with running a business. However, little is known about how mental health affects entrepreneurs and the performance of their businesses. Drawing on the literature of personality and entrepreneurial exit as well as on evidence from large-scale survey data on the relation between depression and entrepreneurial exit, we show that there is ample opportunity for research investigating the relation between mental health and entrepreneurship. Five directions for future research on this topic are highlighted.

Published
2018

35. Self-employment and satisfaction with life, work, and leisure

Author

Peter van der Zwan, Jolanda Hessels, Cornelius A. Rietveld, and Applied Economics

Subjects
Economics and Econometrics, Sociology and Political Science, 05 social sciences, Life satisfaction, language.human_language, Leisure satisfaction, German, Work (electrical), 0502 economics and business, language, Job satisfaction, Demographic economics, 050207 economics, Psychology, 050203 business & management, Applied Psychology, Self-employment, Panel data
Abstract

The aim of this study is to provide an explanation for the finding in earlier studies that the self-employed are, on average, more satisfied with their work than the paid employed are, although they are not more satisfied with their life in general. Fixed-effects regressions are performed with German Socio-Economic Panel data (1984–2012) to investigate how a labor market switch from paid employment to self-employment influences life, work, and leisure satisfaction. The results indicate that switching to self-employment benefits work satisfaction but not life satisfaction. The benefits for work satisfaction are pro- nounced and relatively persistent but accompany large and persistent decreases in leisure satisfaction. Life satisfaction for the switchers to self-employment is consequently on par with the life satisfaction of the non-switchers. Contrasting the switch to self- employment (out of paid employment) with the switch to paid employment (out of self- employment) shows that the detrimental effect on leisure satisfaction distinguishes a switch to self-employment from a switch to paid employment. In conclusion, the results explain why increases in life satisfaction are generally absent for individuals switching to self-employment and why undetermined evidence has been found in previous studies in terms of gains in life satisfaction.

Published
2018

36. Genome-wide association meta-analysis of 78,308 individuals identifies new loci and genes influencing human intelligence

Author

Gerome Breen, Suzanne Sniekers, Neil Pendleton, Robert Plomin, Antony Payton, Magnus Johannesson, Anke R. Hammerschlag, Sven Stringer, Philipp Koellinger, Matt McGue, David Cesarini, Najaf Amin, Christopher F. Chabris, Delilah Zabaneh, Cornelia M. van Duijn, Cornelius A. Rietveld, Aysu Okbay, Jonathan R. I. Coleman, Michael B. Miller, Danielle Posthuma, Eva Krapohl, Erdogan Taskesen, William G. Iacono, Kyoko Watanabe, Philip R. Jansen, Patrik K. E. Magnusson, William E R Ollier, James J. Lee, Henning Tiemeier, M. Arfan Ikram, Neurology, Human genetics, Amsterdam Reproduction & Development (AR&D), Amsterdam Neuroscience - Complex Trait Genetics, Child and Adolescent Psychiatry / Psychology, Applied Economics, Epidemiology, Psychiatry, Mathematics, Complex Trait Genetics, Tinbergen Institute, Graduate School, and Human Genetics

Subjects
0301 basic medicine, Adult, Male, Linkage disequilibrium, Adolescent, European Continental Ancestry Group, Intelligence, Single-nucleotide polymorphism, Genome-wide association study, Nerve Tissue Proteins, Biology, Genetic correlation, Polymorphism, Single Nucleotide, Article, White People, Linkage Disequilibrium, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Genetics, Journal Article, Brain/metabolism, Nerve Tissue Proteins/genetics, Humans, Polymorphism, Child, Preschool, Gene, Aged, Human intelligence, Research, Intelligence/genetics, Brain, Infant, Single Nucleotide, Heritability, Middle Aged, Genetic architecture, 030104 developmental biology, Child, Preschool, Female, 030217 neurology & neurosurgery, White People/genetics, Genome-Wide Association Study, Meta-Analysis
Abstract

Intelligence is associated with important economic and health-related life outcomes. Despite intelligence having substantial heritability (0.54) and a confirmed polygenic nature, initial genetic studies were mostly underpowered. Here we report a meta- A nalysis for intelligence of 78,308 individuals. We identify 336 associated SNPs (METAL P < 5 × 10-8) in 18 genomic loci, of which 15 are new. Around half of the SNPs are located inside a gene, implicating 22 genes, of which 11 are new findings. Gene-based analyses identified an additional 30 genes (MAGMA P < 2.73 × 10-6), of which all but one had not been implicated previously. We show that the identified genes are predominantly expressed in brain tissue, and pathway analysis indicates the involvement of genes regulating cell development (MAGMA competitive P = 3.5 × 10-6). Despite the well-known difference in twin-based heritability for intelligence in childhood (0.45) and adulthood (0.80), we show substantial genetic correlation (rg = 0.89, LD score regression P = 5.4 × 10-29). These findings provide new insight into the genetic architecture of intelligence.

Published
2017

37. Attention deficit hyperactivity disorder (ADHD) and earnings in later-life self-employment

Author

Pankaj C. Patel, Cornelius A. Rietveld, Ingrid Verheul, Applied Economics, and Department of Strategic Management and Entrepreneurship

Subjects
Economics and Econometrics, Earnings, 05 social sciences, medicine.disease, behavioral disciplines and activities, 03 medical and health sciences, 0302 clinical medicine, mental disorders, 0502 economics and business, medicine, Attention deficit hyperactivity disorder, Polygenic risk score, Business and International Management, Psychology, 050203 business & management, 030217 neurology & neurosurgery, Self-employment, Clinical psychology
Abstract

Recent studies have shown that individuals with attention deficit hyperactivity disorder (ADHD) are relatively often engaged in self-employment. We analyze whether self-employment mediates the relationship between ADHD and earnings. To overcome endogeneity concerns in the estimation of this relationship, we use the polygenic risk score (PRS) for ADHD. In our longitudinal sample of 7,905 individuals (50–65 years old) from the Health and Retirement Study, a standard deviation increase in the PRS for ADHD increases the odds of self-employment by 32% and decreases yearly earnings by 5%. Self-employment explains (mediates) 59% of the negative relationship between the PRS for ADHD and earnings.

Published
2019

38. Associations of autozygosity with a broad range of human phenotypes

Author

Dennis O. Mook-Kanamori, Salma M. Wakil, Lisa R. Yanek, Dominique P.V. de Kleijn, Gert J. de Borst, Alison D. Murray, Kamran Guity, Vincent W. V. Jaddoe, Mario Pirastu, Carole Ober, Giuseppe Matullo, Charles N. Rotimi, Daniela Ruggiero, Teresa Tusié-Luna, Wolfgang Lieb, Chew-Kiat Heng, John R. B. Perry, Hortensia Moreno-Macías, Jie Zhou, John M. Starr, Juhani Junttila, Lei Yu, Danielle Posthuma, Marcus Dörr, Yingchang Lu, Jonathan P. Bradfield, Einat Granot-Hershkovitz, Karina Meidtner, Wouter van Rheenen, T Esko, Maris Alver, Wen-Jane Lee, Zhengming Chen, Jennifer A. Brody, Paolo Gasparini, Yii-Der Ida Chen, Cinzia Sala, Peter P. Pramstaller, Gauri Prasad, Nana Matoba, Natalie Terzikhan, Simonetta Guarrera, Bjarke Feenstra, Peter Vollenweider, Smeeta Shrestha, Yi-Jen Hung, Lilja Stefansdottir, David R. Weir, Felix R. Day, Antonietta Robino, Liang Zhang, Lluis Quintana-Murci, Nicholas J. Timpson, Robyn E Wootton, Xue W. Mei, Dharambir K. Sanghera, Gisli Masson, Debbie A Lawlor, Thomas Meitinger, Sharon L.R. Kardia, Peter K. Joshi, Frank J. A. van Rooij, Claude Bouchard, Cassandra N. Spracklen, Ken K. Ong, Taulant Muka, Guanjie Chen, Laura J. Scott, Walter Palmas, Daniel I. Chasman, Sarah E. Medland, Krista Fischer, Blair H. Smith, Jon K. Sigurdsson, Leon Straker, Clara Viberti, Yuan Shi, Louis Pérusse, Peter J. van der Most, Timo Tõnis Sikka, Chris Haley, Kuang Lin, Leif Groop, Hester M. den Ruijter, Hakon Hakonarson, Masato Akiyama, Stephan J. L. Bakker, Sonja I. Berndt, Jeffery R. O'Connell, Cisca Wijmenga, Daniele Cusi, Lorena Orozco, Kristjan H. S. Moore, Kevin Sandow, Stephen S. Rich, Stephanie J. Loomis, George Davey Smith, Cornelia M. van Duijn, Sharvari Rahul Shukla, Agnar Helgason, Thorsten Kessler, Anuj Goel, Dan Mason, David W. Clark, James S. Pankow, Simona Vaccargiu, Uwe Völker, Tamara B. Harris, Matthew A. Allison, Clicerio Gonzalez, Sarju Ralhan, I-Te Lee, Matthias Laudes, Yen-Feng Chiu, Neil Poulter, Benjamin Lehne, John Wright, Lawrence F. Bielak, Philip L. De Jager, Reinhold Schmidt, Ya Xing Wang, Matthias Nauck, Diana L. Cousminer, Patrick Deelen, Ani Manichaikul, Stephen J. Chanock, Anders Hamsten, Barry I. Freedman, Gudmar Thorleifsson, Peter Kraft, Ozren Polasek, Jie Yao, Yoshinori Murakami, Paul M. Ridker, Anubha Mahajan, Struan F.A. Grant, Claudia Schurmann, Bjarni Gunnarsson, Catriona L. K. Barnes, Jessica van Setten, Sandosh Padmanabhan, Alena Stančáková, Markus M. Lerch, Anuradha Jagadeesan, Franco Giulianini, Daniel F. Gudbjartsson, Dwaipayan Bharadwaj, Shengchao Alfred Li, Peter S. Sever, Trevor A. Mori, Albertine J. Oldehinkel, Koichi Matsuda, Xueling Sim, Evangelos Evangelou, André G. Uitterlinden, Pekka Jousilahti, Yukihide Momozawa, Ioanna Tzoulaki, Chao A. Hsiung, Ginevra Biino, Murielle Bochud, Hannele Mattsson, Ilja M. Nolte, Sarah H. Wild, Patricia B. Munroe, Jianjun Liu, Bruce M. Psaty, Giriraj R. Chandak, Masahiro Kanai, Tony R. Merriman, Teemu Palviainen, Rodney A. Lea, Janie Corley, Nicholas J. Wareham, Alan B. Zonderman, Makoto Hirata, Matthew J. Bixley, Caroline Hayward, Nora Franceschini, Kristel R van Eijk, Etienne Patin, Daniel Shriner, Niek Verweij, Xiuqing Guo, Fredrik Karpe, Ruth J. F. Loos, Tiinamaija Tuomi, Ashley van der Spek, Patricia A. Peyser, Jessica D. Faul, Christian Fuchsberger, David Cesarini, Alex S. F. Doney, Janine F. Felix, Cornelius A. Rietveld, Jagadish Vangipurapu, Tanguy Corre, Line Skotte, Rajkumar Dorajoo, Catherine Igartua, Meena Kumari, Nona Sotoodehnia, Leonard H. van den Berg, Najaf Amin, Dale R. Nyholt, Harry Campbell, Massimiliano Cocca, Scott D. Gordon, Patrik K. E. Magnusson, John C. Chambers, Traci M. Bartz, Mike A. Nalls, Tin Aung, Nduna Dzimiri, Colin N. A. Palmer, Rob M. van Dam, Johanna Kuusisto, Russell P. Tracy, Anna Damulina, Pierre-Emmanuel Morange, Sylvain Foisy, Jing Hua Zhao, Nicholas G. Martin, Ching-Yu Cheng, Mariaelisa Graff, Rashmi B. Prasad, Alice Stanton, David-Alexandre Trégouët, Yu Guo, Helen R. Warren, Lyn R. Griffiths, Weihua Meng, Annika Tillander, Christa Meisinger, Albert V. Smith, Mark I. McCarthy, Jingyun Yang, Marine Germain, Neil Small, Linda Broer, Vilmundur Gudnason, Gunnar K. Pálsson, Michele K. Evans, Alexander Teumer, Mark J. Caulfield, Giorgia Girotto, Thomas Lumley, Tinca J. C. Polderman, Wei Zhao, Carlos A. Aguilar-Salinas, Jari Lahti, Matthew L. Albert, Yechiel Friedlander, Veikko Salomaa, Iona Y Millwood, Jan H. Veldink, Archie Campbell, Andres Metspalu, Ulf Gyllensten, Grant W. Montgomery, Veronique Vitart, Jai Rup Singh, Saima Afaq, Alan R. Shuldiner, Miao-Li Chee, Adebowale Adeyemo, Jennifer A. Smith, David A. van Heel, Jaspal S. Kooner, Daniela Toniolo, Cristian Pattaro, Jerome I. Rotter, John Whitfield, Melissa C. Smart, Kari E. North, Salman M. Tajuddin, Tallapragada Divya Sri Priyanka, Christopher A. Haiman, Diane M. Becker, Bernhard K. Krämer, Paul Elliott, Lihua Wang, He Gao, Patrick Sulem, Jinyan Huang, Chiea Chuen Khor, Ruifang Li-Gao, Åsa Johansson, Winfried März, Shai Carmi, Ilaria Gandin, Eric Boerwinkle, Gardar Sveinbjornsson, Saskia P. Hagenaars, Sander W. van der Laan, Gerard Pasterkamp, E-Shyong Tai, Hagit Hochner, Yih Chung Tham, Kent D. Taylor, Kari Stefansson, Matt J. Neville, Craig E. Pennell, Yanchun Bao, Annelot M. Dekker, Helena Schmidt, Mehdi Hedayati, Joshua Elliott, Ian J. Deary, Iris E. Jansen, Judith B. Borja, Edith Hofer, Martin Gögele, Igor Rudan, Lude Franke, Matthias Munz, Folkert W. Asselbergs, Bengt Sennblad, Imo Hofer, John D. Rioux, Pim van der Harst, Bahareh Sedaghati-khayat, Giovanni Cugliari, Morris A. Swertz, Francine Grodstein, Erwin P. Bottinger, Carol A. Wang, Andre Franke, Brian F. Meyer, Adele M. Taylor, Klodian Dhana, Jian'an Luan, Constance Turman, Robert A. Scott, May E. Montasser, Alison Pattie, Marco Brumat, Liming Li, Heiner Boeing, Karen L. Mohlke, Clemens Baumbach, Bishwa Raj Sapkota, Unnur Thorsteinsdottir, Naveed Sattar, Amy R. Bentley, Matthias B. Schulze, Ivana Kolcic, Stella Trompet, Sarah E. Harris, Ayo P. Doumatey, Charumathi Sabanayagam, David Eccles, Mary F. Feitosa, Jost B. Jonas, Massimo Mezzavilla, Mark O. Goodarzi, David Ellinghaus, Heribert Schunkert, Christian Gieger, Heikki V. Huikuri, Lingyao Zeng, Johan G. Eriksson, Woon-Puay Koh, Yucheng Jia, Gurpreet Singh Wander, James F. Wilson, Torgny Karlsson, Steven C. Hunt, Weihua Zhang, Maria Pina Concas, Zoltán Kutalik, Rebecca Rohde, Chittaranjan S. Yajnik, Yasaman Saba, Dabeeru C. Rao, Robin G. Walters, Reedik Mägi, Marie Loh, Eero Vuoksimaa, Josyf C. Mychaleckyj, Katri Räikkönen, Philippe Goyette, M. Arfan Ikram, Alicia Huerta-Chagoya, David J. Porteous, Teresa Nutile, J. Wouter Jukema, Noha A. Yousri, Yoichiro Kamatani, Maryam S. Daneshpour, Babette S. Zemel, Rona J. Strawbridge, Tien Yin Wong, Claudia Langenberg, Amy Moore, Marcus E. Kleber, Fereidoun Azizi, Avner Halevy, Erika Salvi, Francis S. Collins, Markku Laakso, Tim Kacprowski, S. Sunna Ebenesersdóttir, William R. Scott, Michael Boehnke, Jin-Fang Chai, Markus Perola, Nicola Pirastu, Wayne Huey-Herng Sheu, Robert Karlsson, Lenore J. Launer, Lili Milani, Renée de Mutsert, Fernando Rivadeneira, David A. Bennett, Nicola D. Kerrison, Paolo Manunta, Graciela E. Delgado, Magnus Johannesson, Carolina Medina-Gomez, Alanna C. Morrison, Kay-Tee Khaw, Jian-Min Yuan, Jaakko Kaprio, Melanie Waldenberger, Ralf Ewert, Hugoline G. de Haan, Andrew A. Hicks, Yukinori Okada, Maria Sabater-Lleal, Marilyn C. Cornelis, Stephanie J. London, Federica Rizzi, Jeanette Erdmann, Marina Ciullo, Michiaki Kubo, University of Edinburgh, Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], Osaka University Graduate School of Medicine, Laboratory for Cardiovascular Genomics and Informatics [Yokohama] (RIKEN IMS), RIKEN Center for Integrative Medical Sciences [Yokohama] (RIKEN IMS), RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN)-RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN), deCODE genetics [Reykjavik], Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK (BIHR), Area Science Park, Università degli studi di Trieste = University of Trieste, MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Interfaculty Institute for Genetics and Functional Genomics, Universität Greifswald - University of Greifswald, Harbor UCLA Medical Center [Torrance, Ca.], Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, Department of Electrical and Computer Engineering [Waterloo] (ECE), University of Waterloo [Waterloo], Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet [Stockholm], Institute of Pop. Genetics, CNR, Sassari, Shardna life science Pula Cagliari, Swiss Institute of Bioinformatics [Lausanne] (SIB), Université de Lausanne = University of Lausanne (UNIL), Medstar Research Institute, Florida State University [Tallahassee] (FSU), University Medical Center [Utrecht], Centre for Population Health Sciences, Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Research Unit on Cardiovascular and Metabolic Diseases (ICAN), Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), California State University [Sacramento], Department of Thrombosis and Haemostasis, Leiden University Medical Center (LUMC), Universiteit Leiden-Universiteit Leiden, Medical University Graz, Department of Neurology, Alzheimer Centre, VU Medical Centre, Amsterdam, Vth Department of Medicine (Nephrology, Hypertensiology, Endocrinology, Diabetology, Rheumatology), Medical Faculty of Mannheim, University of Heidelberg, Heidelberg, Frederick National Laboratory for Cancer Research (FNLCR), Wellcome Trust Centre of Human Genetics, University of Oxford, Department of Epidemiology, German Institute of Human Nutrition, University Medical Center Groningen [Groningen] (UMCG), Institute of Genetics and Biophysics, National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), Department of Medicine, Surgery, and Dentistry, University of Milano, Icelandic Heart Association, Kopavogur, Iceland., Department of Epidemiology [Rotterdam], Erasmus University Medical Center [Rotterdam] (Erasmus MC), University of Glasgow, Department of Cardiology, Leiden University Medical Center, Leiden, Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, Queen Mary University of London (QMUL), General Internal Medicine, Johns Hopkins School of Medicine, Johns Hopkins University School of Medicine [Baltimore], Institut de biologie moléculaire des plantes (IBMP), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Immunobiologie des Cellules dendritiques, Institut Pasteur [Paris] (IP)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de Recherche Translationnelle - Center for Translational Science (CRT), Institut Pasteur [Paris] (IP), Genentech, Inc., Genentech, Inc. [San Francisco], University of Tartu, Duke-NUS Medical School [Singapore], Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke (DifE), Leibniz Association, Human Genome Sequencing Center, Baylor College of Medicine, Baylor College of Medicine (BCM), Baylor University-Baylor University, University of San Carlos, Office of Population Studies Foundation, Icahn School of Medicine at Mount Sinai [New York] (MSSM), King‘s College London, Division of Cancer Epidemiology and Genetics, National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH)-National Institutes of Health [Bethesda] (NIH), University of Oxford, Vth Department of Medicine (Nephrology, Hypertensiology, Endocrinology, Diabetology, Rheumatology), Medical Faculty of Mannheim, University of Heidelberg, Division of Molecular & Clinical Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, Department of Internal Medicine B, University Medicine Greifswald, Greifswald, University of Chicago, University of Huddersfield, Infectious diseases division, Department of internal medicine, Washington University in Saint Louis (WUSTL), Section on Nephrology [Winston-Salem, NC, USA] (Department of Internal Medicine), Wake Forest School of Medicine [Winston-Salem], Wake Forest Baptist Medical Center-Wake Forest Baptist Medical Center, Radcliffe Department of Medicine [Oxford], Harvard School of Public Health, Kunming University of Science and Technology (KMUST), Sans affiliation, University of Southern California (USC), National Institute on Aging [Bethesda, USA] (NIA), National Institutes of Health [Bethesda] (NIH), Centre National de Génotypage (CNG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), MRC Centrer for Nutritional Epidemiology and Cancer Prevention and Survival, University of Cambridge [UK] (CAM), National University of Singapore (NUS), Experimental Cardiology Laboratory (ECL), Unirversity Medical Center, Department of Medical Statistics, Epidemiology and Medical Informatics, University of Zagreb, Department of Medical Genetics, Department of Medicine, University of Eastern Finland-Kuopio University Hospital, MRC Epidemiology Unit, University of Cambridge [UK] (CAM)-Institute of Metabolic Science, Capital Normal University [Beijing], Saw Swee Hock School of Public Health, National Institute for Environmental Health Sciences Research Triangle Park, Brown University, MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, Toyota Research Institute, Helmholtz Zentrum München = German Research Center for Environmental Health, Department of Chemistry and Biochemistry [Boulder], University of Colorado [Boulder], Centre recherche en CardioVasculaire et Nutrition = Center for CardioVascular and Nutrition research (C2VN), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Hôpital de la Timone [CHU - APHM] (TIMONE), Metacohorts Consortium, Universiteit Leiden, Institute of Clinical Chemistry and Laboratory Medicine, University of Groningen [Groningen], Medical Research Concil Epidemiology Unit, Institute of Medical Science, Faculty of Medicine, Genetics and Pathology, Imperial College London, Génétique Evolutive Humaine - Human Evolutionary Genetics, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Brigham and Women's Hospital [Boston], Erasmus University Rotterdam, Department of Chronic Disease Prevention, National Institute for Health and Welfare [Helsinki], Department of Biostatistics and Center for Statistical Genetics, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System-School of public health, The University of Hong Kong (HKU)-The University of Hong Kong (HKU), Stockholm Bioinformatics Center (SBC), Stockholm University, Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, University of Utrecht, Utrecht, INRH, Department of Genetics, Los Angeles Biomedical Research Institute (LA BioMed), Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán - National Institute of Medical Science and Nutrition Salvador Zubiran [Mexico], Western General Hospital, German Research Center for Environmental Health - Helmholtz Center München (GmbH), Medical Research Council, Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute-University of Pittsburgh Graduate School of Public Health, Zhengzhou University of Light Industry, Department of Electrical and Electronic Engineering [Niigata Univ.], Niigata University, Genetic Epidemiology Unit, University College of London [London] (UCL), Aston Business School, Aston University [Birmingham], Division of Cancer Epidemiology and Genetics [Bethesda, MD, États-Unis], Centre Hospitalier Universitaire Vaudois (CHUV), Pennington Biomedical Research Center, University of Washington [Seattle], Guy's and St Thomas' Hospitals, Northwestern Polytechnical University [Xi'an] (NPU), Department of Social Medicine, University of Bristol [Bristol], Department of Genomics of Common Disease [London, UK], Imperial College London-Hammersmith Hospital NHS Imperial College Healthcare, Department of Internal Medicine, Institute of Clinical Molecular Biology, Kiel University, Medizinische Klinik II, Universität zu Lübeck = University of Lübeck [Lübeck], Clinical and Molecular Epidemiology Unit, Department of Hygiene and Epidemiology, University of Ioannina, Institute for Social Research, University of Michigan System-University of Michigan System, Division of Statistical Genomics, Washington University School of Medicine, Institute for Clinical Molecular Biology, Christian-Albrechts-Universität zu Kiel (CAU), Department of Physics, RISSC-Lab-University of Naples Federico II = Università degli studi di Napoli Federico II, Lund University [Lund], Icelandic Heart Association, Heart Preventive Clinic and Research Institute, The Center for Applied Genomics, Children’s Hospital of Philadelphia (CHOP ), Génétique moléculaire de la neurotransmission et des processus neurodégénératifs (LGMNPN), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Medical Research Center Oulu, University of Oulu, University of Utah School of Medicine [Salt Lake City], The Generation R Study, Pediatrics, Epidemiology, Center for Translational and Computational Neuroimmunology [New York, NY, États-Unis] (CTCN), Department of Neurology [New York, NY, États-Unis], Columbia University Medical Center (CUMC), Columbia University [New York]-Columbia University [New York]-Columbia University Medical Center (CUMC), Columbia University [New York]-Columbia University [New York], Universität Heidelberg [Heidelberg] = Heidelberg University, Interuniversity Cardiology Institute Netherlands, School of Public Health, University of Michigan [Dearborn], Department of Epidemiology and Public Health, University of Kuopio, Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Institute of Epidemiology and Biobank PopGen, Department of Biostatistics, University of Washington, Universidad Complutense de Madrid = Complutense University of Madrid [Madrid] (UCM), Clinical Institute of Medical and Chemical Laboratory Diagnostics, Karl-Franzens-Universität Graz, Department of Genetics, Biology and Biochemistry, Università degli studi di Torino = University of Turin (UNITO), Oxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM), QIMR Berghofer Medical Research Institute, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC)-UNC Gillings School of Global Public Health-Carolina Center for Genome Sciences, University of Illinois [Chicago] (UIC), University of Illinois System, Experimental Cardiology Laboratory, Genetic Epidemiology and Clinical Research Group, Umea University Hospital, Functional Genomics, Erasmus Medical Centre, National Human Genome Research Institute (NHGRI), School of Medicine [Los Angeles], University of California [Los Angeles] (UCLA), University of California (UC)-University of California (UC), Department of Pathological Biochemistry, Royal Infirmary, German Institute of Human Nutrition Potsdam-Rehbrücke (DIfE), Institute of Metabolic Science, MRC, University of Maryland School of Medicine [Baltimore, MD, USA], Centre for Molecular Epidemiology, Centre for Causal Analyses in Translational Epidemiology, University of Bristol [Bristol]-Medical Research Council, IRCCS San Raffaele Scientific Institute [Milan, Italie], U937, Génomique cardiovasculaire, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Hospitalier Universitaire Vaudois [Lausanne] (CHUV), University of Michigan System, HMNC Brain Health, Singapore Eye Research Institute, Partenaires INRAE, Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Institute for Molecular Medicine Finland [Helsinki] (FIMM), Helsinki Institute of Life Science (HiLIFE), Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Department of Psychiatry and Psychotherapy, Rheinische Friedrich-Wilhelms-Universität Bonn, University of Groningen, Department of Genomics of Common Disease, Department of Microbiology, The Freeman Hospital, Department Biostatistics University of North Carolina, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, Clark, D. W., Okada, Y., Moore, K. H. S., Mason, D., Pirastu, N., Gandin, I., Mattsson, H., Barnes, C. L. K., Lin, K., Zhao, J. H., Deelen, P., Rohde, R., Schurmann, C., Guo, X., Giulianini, F., Zhang, W., Medina-Gomez, C., Karlsson, R., Bao, Y., Bartz, T. M., Baumbach, C., Biino, G., Bixley, M. J., Brumat, M., Chai, J. -F., Corre, T., Cousminer, D. L., Dekker, A. M., Eccles, D. A., van Eijk, K. R., Fuchsberger, C., Gao, H., Germain, M., Gordon, S. D., de Haan, H. G., Harris, S. E., Hofer, E., Huerta-Chagoya, A., Igartua, C., Jansen, I. E., Jia, Y., Kacprowski, T., Karlsson, T., Kleber, M. E., Li, S. A., Li-Gao, R., Mahajan, A., Matsuda, K., Meidtner, K., Meng, W., Montasser, M. E., van der Most, P. J., Munz, M., Nutile, T., Palviainen, T., Prasad, G., Prasad, R. B., Priyanka, T. D. S., Rizzi, F., Salvi, E., Sapkota, B. R., Shriner, D., Skotte, L., Smart, M. C., Smith, A. V., van der Spek, A., Spracklen, C. N., Strawbridge, R. J., Tajuddin, S. 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A., Halevy, A., Harris, T. B., Hedayati, M., van Heel, D. A., Hirata, M., Hofer, I., Hsiung, C. A., Huang, J., Hung, Y. -J., Ikram, M. A., Jagadeesan, A., Jousilahti, P., Kamatani, Y., Kanai, M., Kerrison, N. D., Kessler, T., Khaw, K. -T., Khor, C. C., de Kleijn, D. P. V., Koh, W. -P., Kolcic, I., Kraft, P., Kramer, B. K., Kutalik, Z., Kuusisto, J., Langenberg, C., Launer, L. J., Lawlor, D. A., Lee, I. -T., Lee, W. -J., Lerch, M. M., Li, L., Liu, J., Loh, M., London, S. J., Loomis, S., Lu, Y., Luan, J., Magi, R., Manichaikul, A. W., Manunta, P., Masson, G., Matoba, N., Mei, X. W., Meisinger, C., Meitinger, T., Mezzavilla, M., Milani, L., Millwood, I. Y., Momozawa, Y., Moore, A., Morange, P. -E., Moreno-Macias, H., Mori, T. A., Morrison, A. C., Muka, T., Murakami, Y., Murray, A. D., de Mutsert, R., Mychaleckyj, J. C., Nalls, M. A., Nauck, M., Neville, M. J., Nolte, I. M., Ong, K. K., Orozco, L., Padmanabhan, S., Palsson, G., Pankow, J. S., Pattaro, C., Pattie, A., Polasek, O., Poulter, N., Pramstaller, P. P., Quintana-Murci, L., Raikkonen, K., Ralhan, S., Rao, D. C., van Rheenen, W., Rich, S. S., Ridker, P. M., Rietveld, C. A., Robino, A., van Rooij, F. J. A., Ruggiero, D., Saba, Y., Sabanayagam, C., Sabater-Lleal, M., Sala, C. F., Salomaa, V., Sandow, K., Schmidt, H., Scott, L. J., Scott, W. R., Sedaghati-Khayat, B., Sennblad, B., van Setten, J., Sever, P. J., Sheu, W. H. -H., Shi, Y., Shrestha, S., Shukla, S. R., Sigurdsson, J. K., Sikka, T. T., Singh, J. R., Smith, B. H., Stancakova, A., Stanton, A., Starr, J. M., Stefansdottir, L., Straker, L., Sulem, P., Sveinbjornsson, G., Swertz, M. A., Taylor, A. M., Taylor, K. D., Terzikhan, N., Tham, Y. -C., Thorleifsson, G., Thorsteinsdottir, U., Tillander, A., Tracy, R. P., Tusie-Luna, T., Tzoulaki, I., Vaccargiu, S., Vangipurapu, J., Veldink, J. H., Vitart, V., Volker, U., Vuoksimaa, E., Wakil, S. M., Waldenberger, M., Wander, G. S., Wang, Y. X., Wareham, N. J., Wild, S., Yajnik, C. S., Yuan, J. -M., Zeng, L., Zhang, L., Zhou, J., Amin, N., Asselbergs, F. W., Bakker, S. J. L., Becker, D. M., Lehne, B., Bennett, D. A., van den Berg, L. H., Berndt, S. I., Bharadwaj, D., Bielak, L. F., Bochud, M., Boehnke, M., Bouchard, C., Bradfield, J. P., Brody, J. A., Campbell, A., Carmi, S., Caulfield, M. J., Cesarini, D., Chambers, J. C., Chandak, G. R., Cheng, C. -Y., Ciullo, M., Cornelis, M., Cusi, D., Smith, G. D., Deary, I. J., Dorajoo, R., van Duijn, C. M., Ellinghaus, D., Erdmann, J., Eriksson, J. G., Evangelou, E., Evans, M. K., Faul, J. D., Feenstra, B., Feitosa, M., Foisy, S., Franke, A., Friedlander, Y., Gasparini, P., Gieger, C., Gonzalez, C., Goyette, P., Grant, S. F. A., Griffiths, L. R., Groop, L., Gudnason, V., Gyllensten, U., Hakonarson, H., Hamsten, A., van der Harst, P., Heng, C. -K., Hicks, A. A., Hochner, H., Huikuri, H., Hunt, S. C., Jaddoe, V. W. V., De Jager, P. L., Johannesson, M., Johansson, A., Jonas, J. B., Jukema, J. W., Junttila, J., Kaprio, J., Kardia, S. L. R., Karpe, F., Kumari, M., Laakso, M., van der Laan, S. W., Lahti, J., Laudes, M., Lea, R. A., Lieb, W., Lumley, T., Martin, N. G., Marz, W., Matullo, G., Mccarthy, M. I., Medland, S. E., Merriman, T. R., Metspalu, A., Meyer, B. F., Mohlke, K. L., Montgomery, G. W., Mook-Kanamori, D., Munroe, P. B., North, K. E., Nyholt, D. R., O'Connell, J. R., Ober, C., Oldehinkel, A. J., Palmas, W., Palmer, C., Pasterkamp, G. G., Patin, E., Pennell, C. E., Perusse, L., Peyser, P. A., Pirastu, M., Polderman, T. J. C., Porteous, D. J., Posthuma, D., Psaty, B. M., Rioux, J. D., Rivadeneira, F., Rotimi, C., Rotter, J. I., Rudan, I., Den Ruijter, H. M., Sanghera, D. K., Sattar, N., Schmidt, R., Schulze, M. B., Schunkert, H., Scott, R. A., Shuldiner, A. R., Sim, X., Small, N., Smith, J. A., Sotoodehnia, N., Tai, E. -S., Teumer, A., Timpson, N. J., Toniolo, D., Tregouet, D. -A., Tuomi, T., Vollenweider, P., Wang, C. A., Weir, D. R., Whitfield, J. B., Wijmenga, C., Wong, T. -Y., Wright, J., Yang, J., Yu, L., Zemel, B. S., Zonderman, A. B., Perola, M., Magnusson, P. K. E., Uitterlinden, A. G., Kooner, J. S., Chasman, D. I., Loos, R. J. F., Franceschini, N., Franke, L., Haley, C. S., Hayward, C., Walters, R. G., Perry, J. R. B., Esko, T., Helgason, A., Stefansson, K., Joshi, P. K., Kubo, M., Wilson, J. F., Læknadeild (HÍ), Faculty of Medicine (UI), Félagsfræði-, mannfræði- og þjóðfræðideild (HÍ), Faculty of Sociology, Anthropology and Folkloristics (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), School of Engineering and Natural Sciences (UI), Verkfræði- og náttúruvísindasvið (HÍ), Félagsvísindasvið (HÍ), School of Social Sciences (UI), Háskóli Íslands, University of Iceland, Clark, David W [0000-0002-1025-9185], Okada, Yukinori [0000-0002-0311-8472], Moore, Kristjan H S [0000-0002-9579-4362], Mason, Dan [0000-0002-0026-9216], Pirastu, Nicola [0000-0002-5363-3886], Gandin, Ilaria [0000-0003-3196-2491], Deelen, Patrick [0000-0002-5654-3966], Schurmann, Claudia [0000-0003-4158-9192], Medina-Gomez, Carolina [0000-0001-7999-5538], Karlsson, Robert [0000-0002-8949-2587], Bao, Yanchun [0000-0002-6102-5098], Biino, Ginevra [0000-0002-9936-946X], Brumat, Marco [0000-0003-3268-039X], Chai, Jin-Fang [0000-0003-3770-1137], Eccles, David A [0000-0003-4634-4995], Gordon, Scott 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Lahti, Jari [0000-0002-4310-5297], Martin, Nicholas G [0000-0003-4069-8020], Medland, Sarah E [0000-0003-1382-380X], Merriman, Tony R [0000-0003-0844-8726], Metspalu, Andres [0000-0002-3718-796X], Mohlke, Karen L [0000-0001-6721-153X], Montgomery, Grant W [0000-0002-4140-8139], Munroe, Patricia B [0000-0002-4176-2947], Nyholt, Dale R [0000-0001-7159-3040], Ober, Carole [0000-0003-4626-9809], Oldehinkel, Albertine J [0000-0003-3925-3913], Palmer, Colin [0000-0002-6415-6560], Perusse, Louis [0000-0001-6440-9698], Polderman, Tinca J. C. [0000-0001-5564-301X], Porteous, David J [0000-0003-1249-6106], Rioux, John D [0000-0001-7560-8326], Rivadeneira, Fernando [0000-0001-9435-9441], Rotimi, Charles [0000-0001-5759-053X], Rotter, Jerome I [0000-0001-7191-1723], Rudan, Igor [0000-0001-6993-6884], Sattar, Naveed [0000-0002-1604-2593], Sim, Xueling [0000-0002-1233-7642], Smith, Jennifer A [0000-0002-3575-5468], Teumer, Alexander [0000-0002-8309-094X], Timpson, Nicholas J [0000-0002-7141-9189], Tuomi, Tiinamaija [0000-0002-8306-6202], Wang, Carol A [0000-0002-4301-3974], Weir, David R [0000-0002-1661-2402], Whitfield, John B [0000-0002-1103-0876], Magnusson, Patrik K. E. [0000-0002-7315-7899], Uitterlinden, André G [0000-0002-7276-3387], Loos, Ruth J. F. [0000-0002-8532-5087], Franke, Lude [0000-0002-5159-8802], Haley, Chris S [0000-0002-9811-0210], Hayward, Caroline [0000-0002-9405-9550], Walters, Robin G [0000-0002-9179-0321], Joshi, Peter K [0000-0002-6361-5059], Wilson, James F [0000-0001-5751-9178], Apollo - University of Cambridge Repository, Moore, Kristjan HS [0000-0002-9579-4362], Luan, Jian'an [0000-0003-3137-6337], Grant, Struan FA [0000-0003-2025-5302], Jaddoe, Vincent WV [0000-0003-2939-0041], Polderman, Tinca JC [0000-0001-5564-301X], Magnusson, Patrik KE [0000-0002-7315-7899], Loos, Ruth JF [0000-0002-8532-5087], Neurology, Human genetics, Amsterdam Reproduction & Development (AR&D), Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Cardiovascular Centre (CVC), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Stem Cell Aging Leukemia and Lymphoma (SALL), Institute for Molecular Medicine Finland, Department of Psychology and Logopedics, University Management, Developmental Psychology Research Group, Staff Services, Cognitive and Brain Aging, Research Programs Unit, Diabetes and Obesity Research Program, Johan Eriksson / Principal Investigator, Department of General Practice and Primary Health Care, Clinicum, University of Helsinki, Centre of Excellence in Complex Disease Genetics, Department of Public Health, Genetic Epidemiology, Helsinki Collegium for Advanced Studies, HUS Abdominal Center, Endokrinologian yksikkö, Bradford Teaching Hospitals NHS Foundation Trust [Bradford, UK] (BTHFT), University of Trieste, Université de Lausanne (UNIL), Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Institute of cardiometabolism and nutrition (ICAN), Consiglio Nazionale delle Ricerche (CNR), Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Pasteur [Paris], Institut Pasteur [Paris], University of Oxford [Oxford], Medical Genetics, Dept. RSD and Public Health, IRCCS-Burlo Garofolo/University of Trieste, sans affiliation, Helmholtz-Zentrum München (HZM), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Institute of Cardiovascular Science, University College London, Hammersmith Hospital NHS Imperial College Healthcare-Imperial College London, Universität zu Lübeck [Lübeck], University of Ioannina Medical School, Università degli studi di Napoli Federico II-RISSC-Lab, Universität Heidelberg [Heidelberg], University of Turin, University of California-University of California, Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), University of Helsinki-University of Helsinki, Université de Nantes (UN)-Université de Rennes 1 (UR1), Erasmus MC other, Internal Medicine, and Applied Economics

Subjects
0301 basic medicine, 631/208/1397, Chemistry(all), Health Status, [SDV]Life Sciences [q-bio], LOCI, General Physics and Astronomy, MESH: Haplotype, MESH: Cognition, 030105 genetics & heredity, Runs of Homozygosity, Biochemistry, Consanguinity, Cognition, Inbreeding depression, 2.1 Biological and endogenous factors, Body Size, Inbreeding, Skyldleikarækt, Aetiology, Human phenotypes, lcsh:Science, MESH: Health Status, Genetics, Multidisciplinary, Inbreeding Depression, Confounding, Homozygote, RUNS, 631/208/205, 631/208/721, 3. Good health, genomic inbreeding coefficients, MESH: Risk-Taking, 631/208/730, Autozygosit, homozygosity, Erfðarannsóknir, Medical Genetics, genomic inbreeding coefficient, MESH: Homozygote, Offspring, Science, Autozygosity, Blóðsifjar, 610 Medicine & health, Biology, INBREEDING DEPRESSION, HOMOZYGOSITY, FERTILITY, QUANTIFICATION, Physics and Astronomy(all), General Biochemistry, Genetics and Molecular Biology, Article, Association, 03 medical and health sciences, Risk-Taking, 360 Social problems & social services, Journal Article, Humans, ddc:610, Allele, Alleles, Medicinsk genetik, Genetic association study, MESH: Consanguinity, MESH: Body Size, MESH: Humans, Biochemistry, Genetics and Molecular Biology(all), MESH: Alleles, Haplotype, MESH: Fertility, General Chemistry, Brain Disorders, MESH: Inbreeding Depression, 030104 developmental biology, Fertility, Haplotypes, Genetic markers, lcsh:Q, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, 3111 Biomedicine, Genetics and Molecular Biology(all)
Abstract

Publisher's version (útgefin grein)., In many species, the offspring of related parents suffer reduced reproductive success, a phenomenon known as inbreeding depression. In humans, the importance of this effect has remained unclear, partly because reproduction between close relatives is both rare and frequently associated with confounding social factors. Here, using genomic inbreeding coefficients (FROH) for >1.4 million individuals, we show that FROH is significantly associated (p < 0.0005) with apparently deleterious changes in 32 out of 100 traits analysed. These changes are associated with runs of homozygosity (ROH), but not with common variant homozygosity, suggesting that genetic variants associated with inbreeding depression are predominantly rare. The effect on fertility is striking: FROH equivalent to the offspring of first cousins is associated with a 55% decrease [95% CI 44–66%] in the odds of having children. Finally, the effects of FROH are confirmed within full-sibling pairs, where the variation in FROH is independent of all environmental confounding., This paper is the work of the ROHgen consortium. We thank the Sigma T2D Consortium, whose members are detailed in Supplementary Note 3. We thank the UK Biobank Resource, approved under application 19655; we acknowledge funding from the UK Medical Research Council Human Genetics Unit and MRC Doctoral Training Programme in Precision Medicine. We also thank Neil Robertson, Wellcome Trust Centre for Human Genetics, Oxford, for use of his author details management software, Authorial. Finally, we thank all the participants, researchers and funders of ROHgen cohorts. Cohort-specific acknowledgements are in Supplementary Data 2; personal acknowledgements and disclosures are in Supplementary Note 2. We thank Rachel Edwards for administrative assistance.

Published
2019

39. Creatine and entrepreneurship

Author

Jaakko Pehkonen, Jutta Viinikainen, Cornelius A. Rietveld, Olli T. Raitakari, Petri Böckerman, Alex Bryson, and Applied Economics

Subjects
Economics and Econometrics, Labour economics, Entrepreneurship, Capital income, 05 social sciences, Geography, Planning and Development, yrittäjyys, Affect (psychology), Creatine, self-employment, chemistry.chemical_compound, creatine, chemistry, Body cells, Physical performance, 0502 economics and business, Economics, 050207 economics, 050203 business & management, Self-employment
Abstract

Creatine is a nitrogenous organic acid which supplies energy to body cells and enhances physical performance. Using the Young Finns Study combined with the Finnish Linked employer-employee data we show that quantities of creatine measured in 1980 prior to labour market entry affect entrepreneurial success as measured by capital income accumulation over the period 1993–2010 (in particular for females). However, we do not find evidence that creatine affects the propensity to become an entrepreneur. Our study contributes to the emerging literature on biomarkers and entrepreneurship. peerReviewed

Published
2016

40. On the genetic bias of the quarter of birth instrument

Author

Dinand Webbink, Cornelius A. Rietveld, Applied Economics, and Economics

Subjects
Earnings, business.industry, 05 social sciences, Economics, Econometrics and Finance (miscellaneous), Instrumental variable, Causal effect, Genetic data, Reproducibility of Results, Health and Retirement Study, Quarter (United States coin), Polymorphism, Single Nucleotide, Time, Socioeconomic Factors, 0502 economics and business, Income, Medicine, Educational Status, Humans, 050207 economics, Sex Distribution, business, 050205 econometrics, Demography
Abstract

Many studies in economics use quarter of birth as an instrument for identifying the causal effect of schooling on outcomes such as earnings and health. The key assumption in these studies is that people born in different quarters of the year do not differ systematically in their unobserved abilities. This study uses genetic data from the US Health and Retirement Study to analyze the validity of the quarter of birth instrument. We find some evidence that genetic factors influencing education are not randomly distributed over the year. However, these factors only slightly change the effect of quarter of birth on schooling.

Published
2016

41. Health and entrepreneurship in four Caribbean Basin countries

Author

Cornelius A. Rietveld, Jolanda Hessels, Peter van der Zwan, Henry Bailey, and Applied Economics

Subjects
Adult, Male, Economic growth, Entrepreneurship, Adolescent, Health Status, media_common.quotation_subject, Economics, Econometrics and Finance (miscellaneous), Sample (statistics), Young Adult, Caribbean region, Perception, Caribbean Basin, 0502 economics and business, Economics, Humans, Occupations, 050207 economics, Marketing, media_common, Self-efficacy, 05 social sciences, Business failure, Fear, Middle Aged, Self Efficacy, Caribbean Region, Socioeconomic Factors, Female, Developed country, 050203 business & management
Abstract

The literature dealing with health and entrepreneurship has focused on developed countries. We use a sample of almost 5000 business owners and wage-workers from four Caribbean Basin countries to study this relationship. Analyses are performed using data from the Global Entrepreneurship Monitor along with the Visual Analogue Scale of the EQ-5D-5L instrument as an overall health rating. The results show that business owners are healthier than wage-workers, which is in line with the findings from studies in developed countries. Furthermore, better health is associated with a lower likelihood for fear of business failure to be a deterrent to new business formation, a greater likelihood of self-belief in having the skills to run a business, and an increased recognition of start-up business opportunities among wage-workers. These positive associations between health and entrepreneurial perceptions provide new evidence about why less healthy individuals refrain from entrepreneurship. Finally, we find that the healthiest business owners run the companies with the highest growth expectations.

Published
2016

42. The higher returns to formal education for entrepreneurs versus employees in Australia

Author

Peter van der Zwan, Roy Thurik, Cornelius A. Rietveld, Jolanda Hessels, and Applied Economics

Subjects
Entrepreneurship, Earnings, Job control, 05 social sciences, 050105 experimental psychology, Formal education, Management of Technology and Innovation, 0502 economics and business, Economics, Personal control, 0501 psychology and cognitive sciences, Demographic economics, Business and International Management, 050203 business & management, Period (music), Self-employment
Abstract

Van Praag et al. (2013) analyze whether the returns to formal education in terms of income differ between entrepreneurs and employees. Using US data (1979–2000), they find that entrepreneurs have higher returns to formal education than employees. They also find evidence that the level of personal control in one’s occupation explains these higher returns. In the present study, we aim to replicate these findings using a dataset from a different country (Australia) and time period (2005–2017). Moreover, we extend the study by Van Praag et al. (2013) by distinguishing between entrepreneurs with and without employees. In accordance with Van Praag et al. (2013), we also find higher returns to education for entrepreneurs compared to employees. However, this finding mainly applies to the entrepreneurs without employees. Moreover, we do not find evidence for a mediating role of personal control in this relationship.

Published
2020

43. Genomic analysis of diet composition finds novel loci and associations with health and lifestyle

Author

Tõnu Esko, Bruce H. R. Wolffenbuttel, Jana V. van Vliet-Ostaptchouk, Peter J. van der Most, Richard Karlsson Linnér, Juan R. González, Emma L Anderson, Harold Snieder, Josje D. Schoufour, Taulant Muka, Chanwook Lee, Philipp Koellinger, Daniel J. Benjamin, K. Paige Harden, George Davey Smith, George McMahon, Kim Valeska Emilie Braun, Kaitlin H Wade, Nita G. Forouhi, James J. Lee, André G. Uitterlinden, Fumiaki Imamuri, Nicholas J. Wareham, Oscar H. Franco, Trudy Voortman, Peter Bowers, Cornelius A. Rietveld, Frank J. A. van Rooij, David Cesarini, Susan M. Ring, Ronald de Vlaming, Jian'an Luan, Aysu Okbay, Jessica C. Kiefte-de Jong, Claudia Langenberg, Mark Alan Fontana, Patrick Turley, Fernando Rivadeneira, M. Arfan Ikram, Mohsen Ghanbari, Pauline M Emmett, S. Fleur W. Meddens, Casper A.P. Burik, and Carson C. Chow

Subjects
2. Zero hunger, Genetics, 0303 health sciences, Waist, Heart disease, 1. No poverty, 030209 endocrinology & metabolism, Single-nucleotide polymorphism, Genome-wide association study, Type 2 diabetes, Biology, medicine.disease, Obesity, Genetic architecture, 03 medical and health sciences, 0302 clinical medicine, medicine, Sugar, 030304 developmental biology
Abstract

We conducted genome-wide association study (GWAS) meta-analyses of relative caloric intake from fat, protein, carbohydrates and sugar in over 235,000 individuals. We identified 21 approximately independent lead SNPs. Relative protein intake exhibits the strongest relationships with poor health, including positive genetic associations with obesity, type 2 diabetes, and heart disease (rg ≈ 0.15 – 0.5). Relative carbohydrate and sugar intake have negative genetic correlations with waist circumference, waist-hip ratio, and neighborhood poverty (|rg| ≈ 0.1 – 0.3). Overall, our results show that the relative intake of each macronutrient has a distinct genetic architecture and pattern of genetic correlations suggestive of health implications beyond caloric content.

Published
2018

44. Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences1

Author

Edward Kong, Pascal Timshel, Danielle Posthuma, Tõnu Esko, Maël Lebreton, Kathleen Mullan Harris, Philipp Koellinger, Murray B. Stein, Abraham A. Palmer, Urs Fischbacher, Robert J. Ursano, Erdogan Taskesen, Peter Eibich, Paul R. H. J. Timmers, Anke R. Hammerschlag, Ann H. Caplin, Jian Yang, Sandra Sanchez-Roige, Peter K. Joshi, Matthias Sutter, Pierre Fontanillas, Chia-Yen Chen, Albert Hofman, Patrick Turley, David A. Hinds, Futao Zhang, David Cesarini, Christina M. Lill, Laura Buzdugan, Ville Karhunen, Abdel Abdellaoui, S. Fleur W. Meddens, Henning Tiemeier, Christian L. Zund, Gert G. Wagner, Richard Karlsson Linnér, Lars Bertram, David W. Clark, Roy Thurik, André G. Uitterlinden, Maciej Trzaskowski, Mohammad Arfan Ikram, David Laibson, Cornelius A. Rietveld, Arcadi Navarro, Ernst Fehr, Yang Wu, Matthew B. McQueen, Ronald C. Kessler, Magnus Johannesson, Patrick J. F. Groenen, Gregor Hasler, James F. Wilson, Daniel Schunk, Stephen P. Tino, Pietro Biroli, Mark Alan Fontana, Juan R. González, Meena Kumari, Gerardus A. Meddens, Jonathan P. Beauchamp, Michelle N. Meyer, Jason D. Boardman, James J. Lee, Carlos Morcillo-Suarez, Aaron Kleinman, Minna Männikkö, Andrew Conlin, Adam Auton, Tune H. Pers, Michel G. Nivard, Ronald de Vlaming, Jon White, Robert Karlsson, Daniel J. Benjamin, Maarten Kooyman, Jacob Gratten, Aysu Okbay, Remy Z. Levin, Melissa C. Smart, Harriet de Wit, Conor C. Dolan, Frank J. A. van Rooij, Patrik K. E. Magnusson, Sonia Jain, Rauli Svento, Klaus M. Schmidt, Dorret I. Boomsma, Gerard Muntané, James MacKillop, Robbee Wedow, and Yanchun Bao

Subjects
Genetics, 0303 health sciences, Gabaergic neurotransmission, Single-nucleotide polymorphism, Genome-wide association study, Biology, Phenotype, 03 medical and health sciences, 0302 clinical medicine, SNP, Gene, 030217 neurology & neurosurgery, 030304 developmental biology, Genetic association
Abstract

Humans vary substantially in their willingness to take risks. In a combined sample of over one million individuals, we conducted genome-wide association studies (GWAS) of general risk tolerance, adventurousness, and risky behaviors in the driving, drinking, smoking, and sexual domains. We identified 611 approximately independent genetic loci associated with at least one of our phenotypes, including 124 with general risk tolerance. We report evidence of substantial shared genetic influences across general risk tolerance and risky behaviors: 72 of the 124 general risk tolerance loci contain a lead SNP for at least one of our other GWAS, and general risk tolerance is moderately to strongly genetically correlated (to 0.50) with a range of risky behaviors. Bioinformatics analyses imply that genes near general-risk-tolerance-associated SNPs are highly expressed in brain tissues and point to a role for glutamatergic and GABAergic neurotransmission. We find no evidence of enrichment for genes previously hypothesized to relate to risk tolerance.

Published
2018
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45. Beyond Plausibly Exogenous

Author

Cornelius A. Rietveld, Hans van Kippersluis, and Applied Economics

Subjects
Estimation, Economics and Econometrics, 05 social sciences, Causal effect, Instrumental variable, 01 natural sciences, Outcome (probability), 010104 statistics & probability, Variable (computer science), Labour supply, 0502 economics and business, Econometrics, Economics, 050207 economics, 0101 mathematics
Abstract

We synthesize two recent advances in the literature on instrumental variables (IVs) estimation that test and relax the exclusion restriction. Our approach first estimates the direct effect of the IV on the outcome in a subsample for which the IV does not affect the treatment variable. Subsequently, this estimate for the direct effect is used as input for the plausibly exogenous method developed by Conley, Hansen and Rossi (2012). This two-step procedure provides a novel and informed sensitivity analysis for IV estimation. We illustrate the practical use by estimating the causal effect of (i) attending Catholic high school on schooling outcomes, and (ii) the number of children on female labour supply.

Published
2018

46. Overconfidence, optimism, and entrepreneurship

Author

Indy Bernoster, Roy Thurik, Olivier Torrès, Cornelius A. Rietveld, and Applied Economics

Subjects
Entrepreneurship, Entrepreneurial orientation, media_common.quotation_subject, lcsh:TJ807-830, Geography, Planning and Development, lcsh:Renewable energy sources, Management, Monitoring, Policy and Law, entrepreneurial orientation, Optimism, 0502 economics and business, Economics, entrepreneurial intention, 050207 economics, Positive economics, overconfidence, lcsh:Environmental sciences, media_common, lcsh:GE1-350, Market position, Renewable Energy, Sustainability and the Environment, lcsh:Environmental effects of industries and plants, 05 social sciences, optimism, lcsh:TD194-195, 050203 business & management, Overconfidence effect
Abstract

Overconfidence is one of the alleged drivers for market entry. However, establishing its effect is challenging and much of the existing entrepreneurship literature confusingly conflates overconfidence with optimism. In the present study, we use validated scales to analyze the relationship between overconfidence and two important aspects of entrepreneurship, while explicitly controlling for optimism. Specifically, we study the role of overconfidence in developing intentions about entering entrepreneurship as well as how overconfidence relates to entrepreneurial orientation. Our findings show that overconfidence is related to intended market entry but not to the market position (entrepreneurial orientation) of the business.

Published
2018

47. The stature of the self-employed and its relation with earnings and satisfaction

Author

Peter van der Zwan, Jolanda Hessels, Cornelius A. Rietveld, and Applied Economics

Subjects
Adult, Employment, Male, Labour economics, Adolescent, media_common.quotation_subject, Economics, Econometrics and Finance (miscellaneous), Wage, Personal Satisfaction, Young Adult, Germany, Economics, Humans, Proxy (statistics), health care economics and organizations, Aged, media_common, Career Choice, Earnings, Entrepreneurship, Life satisfaction, Percentage point, Middle Aged, Body Height, Educational attainment, Socioeconomic Factors, Income, Female, Demographic economics, Self-employment, Social status
Abstract

Taller individuals have on average a higher socio-economic status than shorter individuals. In countries where entrepreneurs have high social status, we may therefore expect that entrepreneurs are taller than wage workers. Using data from the German Socio-Economic Panel (2002–2012), we find that a 1 cm increase in an individual's height raises the probability of being self-employed (the most common proxy for entrepreneurship) versus paid employed by 0.15 percentage points. Within the self-employed, the probability of being an employer is increased by 0.10 percentage points as a result of a 1 cm increase in height, whereas this increase is 0.05 percentage points for an own-account worker. This result corroborates the higher social status of employers compared to own-account workers. We find a height premium in earnings for self-employed and paid-employed individuals: an additional 1 cm in height is associated with a 0.39% increase in hourly earnings for paid employees and a 0.52% increase for self-employed individuals. Our analysis reveals that approximately one third of the height premium in earnings is explained by differences in educational attainment. We also establish the existence of a height premium in terms of work and life satisfaction, which is more pronounced for paid employees than for self-employed individuals.

Published
2015

48. Polygenic risk scores applied to a single cohort reveal pleiotropy among hundreds of human phenotypes

Author

Adam Socrates, Karhunen, Tom Bond, Cornelius A. Rietveld, Juha Veijola, Juha Auvinen, M-R Jarvelin, and Paul F. O'Reilly

Subjects
Genetics, 0303 health sciences, medicine.medical_specialty, Genome-wide association study, Disease, Biology, medicine.disease, Comorbidity, 03 medical and health sciences, 0302 clinical medicine, Pleiotropy, Sample size determination, Epidemiology, Cohort, medicine, 030217 neurology & neurosurgery, 030304 developmental biology, Genetic association
Abstract

BackgroundThere is now convincing evidence that pleiotropy across the genome contributes to the correlation between human traits and comorbidity of diseases. The recent availability of genome-wide association study (GWAS) results have made the polygenic risk score (PRS) approach a powerful way to perform genetic prediction and identify genetic overlap among phenotypes.Methods and findingsHere we use the PRS method to assess evidence for shared genetic aetiology across hundreds of traits within a single epidemiological study – the Northern Finland Birth Cohort 1966 (NFBC1966). We replicate numerous recent findings, such as a genetic association between Alzheimer’s disease and lipid levels, while the depth of phenotyping in the NFBC1966 highlights a range of novel significant genetic associations between traits.ConclusionsThis study illustrates the power in taking a hypothesis-free approach to the study of shared genetic aetiology between human traits and diseases. It also demonstrates the potential of the PRS method to provide important biological insights using only a single well-phenotyped epidemiological study of moderate sample size (~5k), with important advantages over evaluating genetic correlations from GWAS summary statistics only.

Published
2017

49. A note on the use of Egger regression in Mendelian randomization studies

Author

Patrick J. F. Groenen, Cornelius A. Rietveld, Roy Thurik, Eric A. W. Slob, Applied Economics, and Econometrics

Subjects
0301 basic medicine, Genetics, Statistical assumption, Epidemiology, Instrumental variable, Confounding, Mendelian Randomization Analysis, Genome-wide association study, General Medicine, Biology, Outcome (probability), Regression, 03 medical and health sciences, Random Allocation, 030104 developmental biology, Mendelian randomization, Letters to the Editor, Genome-Wide Association Study
Abstract

A large number of epidemiological studies use genetic variants as instrumental variables to infer causal relationships. For a genetic variant to be a valid instrument in these so-called Mendelian randomization (MR) studies, three assumptions need to hold: __(i)__ the genetic variant is associated with the exposure of interest (relevance assumption); __(ii)__ the genetic variants should be independent of all confounders (independence assumption); __(iii)__ the genetic variants only effect the outcome through the exposure of interest (exclusion restriction). Without specific knowledge about the biological mechanisms affected by genetic variants, it is virtually impossible to prove that the exclusion restriction holds for a specific genetic variant. For example, genetic variants may have pleiotropic effects on both the exposure and the outcome through different biological pathways. [...]

Published
2017

50. Erratum: Genome-wide association meta-analysis of 78,308 individuals identifies new loci and genes influencing human intelligence

Author

Suzanne Sniekers, Sven Stringer, Kyoko Watanabe, Philip R Jansen, Jonathan R I Coleman, Eva Krapohl, Erdogan Taskesen, Anke R Hammerschlag, Aysu Okbay, Delilah Zabaneh, Najaf Amin, Gerome Breen, David Cesarini, Christopher F Chabris, William G Iacono, M Arfan Ikram, Magnus Johannesson, Philipp Koellinger, James J Lee, Patrik K E Magnusson, Matt McGue, Mike B Miller, William E R Ollier, Antony Payton, Neil Pendleton, Robert Plomin, Cornelius A Rietveld, Henning Tiemeier, Cornelia M van Duijn, Danielle Posthuma, Clinical genetics, NCA - Brain mechanisms in health and disease, VU University medical center, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Amsterdam Reproduction & Development, Amsterdam Neuroscience - Cellular & Molecular Mechanisms, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, and Psychiatry

Subjects
0303 health sciences, 03 medical and health sciences, 0302 clinical medicine, Genetics, Journal Article, 030217 neurology & neurosurgery, 030304 developmental biology
Published
2017

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