Genome-wide association studies in economics and entrepreneurship research: promises and limitations |
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| Authors: | Philipp D Koellinger Matthijs J H M van der Loos Patrick J F Groenen A Roy Thurik Fernando Rivadeneira Frank J A van Rooij André G Uitterlinden Albert Hofman |
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| Institution: | (1) Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR Rotterdam, The Netherlands;(2) Econometric Institute, Erasmus School of Economics, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR Rotterdam, The Netherlands;(3) Department of Epidemiology, Erasmus Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands;(4) Department of Internal Medicine, Erasmus Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands |
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| Abstract: | The recently developed genome-wide association study (GWAS) design enables the identification of genes specifically associated
with economic outcomes such as occupational and other choices. This is a promising new approach for economics research which
we aim to apply to the choice for entrepreneurship. However, due to multiple testing issues, very large sample sizes are needed
to differentiate between true and false positives. For a GWAS on entrepreneurship, we expect that a sample size of at least
30,000 observations is required. |
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