Genome-wide association studies in economics and entrepreneurship research: promises and limitations

Genome-wide association studies in economics and entrepreneurship research: promises and limitations 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Small Business Economics Springer Journals

Genome-wide association studies in economics and entrepreneurship research: promises and limitations

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Publisher
Springer US
Copyright
Copyright © 2010 by The Author(s)
Subject
Business and Management; Management; Microeconomics; Entrepreneurship; Industrial Organization
ISSN
0921-898X
eISSN
1573-0913
D.O.I.
10.1007/s11187-010-9286-3
Publisher site
See Article on Publisher Site

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.

Journal

Small Business EconomicsSpringer Journals

Published: May 13, 2010

References

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