Genetic basis of STEM occupational choice and regional economic performance : a UK biobank genome-wide association study
Zhu, C., Zhao, Q., He, J., Böckerman, P., Luo, S., & Chen, Q. (2023). Genetic basis of STEM occupational choice and regional economic performance : a UK biobank genome-wide association study. Human Genomics, 17, Article 40. https://doi.org/10.1186/s40246-023-00488-2
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Human GenomicsDate
2023Discipline
TaloustiedePäätöksentekoa tukeva taloustiede ja talouden kilpailukyky (painoala)Empirical MicroeconomicsEconomicsPolicy-Relevant Economics and Competitiveness of Economy (focus area)Empirical MicroeconomicsCopyright
© The Author(s) 2023.
Background: Science, technology, engineering, and mathematics (STEM) professionals are regarded as the highly skilled labor force that fosters economic productivity, enterprise innovation, and international competitiveness of a country. This study aims to understand the genetic predisposition to STEM occupations and investigate its associations with regional economic performance. We conducted a genome-wide association study on the occupational choice of STEM jobs based on a sample of 178,976 participants from the UK Biobank database.
Results: We identifed two genetic loci signifcantly associated with participants’ STEM job choices: rs10048736 on chromosome 2 and rs12903858 on chromosome 15. The SNP heritability of STEM occupations was estimated to be 4.2%. We also found phenotypic and genetic evidence of assortative mating in STEM occupations. At the local authority level, we found that the average polygenic score of STEM is signifcantly and robustly associated with several metrics of regional economic performance.
Conclusions: The current study expands our knowledge of the genetic basis of occupational choice and potential regional disparities in socioeconomic developments.
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Biomed CentralISSN Search the Publication Forum
1473-9542Keywords
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https://converis.jyu.fi/converis/portal/detail/Publication/183157409
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Additional information about funding
This research was supported fnancially by the National Natural Science Foundation of China (Nos. 72103187, 71973136, 32071081, and 71973134), the Academy of Global Food Economics and Policy (AGFEP), the Beijing Food Safety Policy and Strategy (FSP) Research Base, and the 2115 Talent Development Program at China Agricultural University.License
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