Evidence map›Paper›PMID 37165452›Full record

ArticleHuman genomics2023

Genetic basis of STEM occupational choice and regional economic performance: a UK biobank genome-wide association study.

Chen Zhu, Qiran Zhao, Jianbo He, Petri Böckerman, Siyang Luo, Qihui Chen

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Human genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Chen ZhuCollege of Economics and Management, China Agricultural University, No. 17 Qinghuadonglu, Haidian Dist., Beijing, China. zhuchen@cau.edu.cn.
Qiran ZhaoCollege of Economics and Management, China Agricultural University, No. 17 Qinghuadonglu, Haidian Dist., Beijing, China.
Jianbo HeCollege of Agriculture, Nanjing Agricultural University, Nanjing, China.
Petri BöckermanSchool of Business and Economics, University of Jyväskylä, Jyvaskyla, Finland.
Siyang LuoDepartment of Psychology, Sun Yat-Sen University, Guangzhou, China.
Qihui ChenCollege of Economics and Management, China Agricultural University, No. 17 Qinghuadonglu, Haidian Dist., Beijing, China. qihui.chen@cau.edu.cn.
China Agricultural University · CNNanjing Agricultural University · CNSun Yat-sen University · CNUniversity of Jyväskylä · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundScience, 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.

resultsWe identified two genetic loci significantly 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 significantly and robustly associated with several metrics of regional economic performance.

conclusionsThe current study expands our knowledge of the genetic basis of occupational choice and potential regional disparities in socioeconomic developments.

Indexed as

Biological Specimen BanksGenome-Wide Association StudyGenetic Predisposition to DiseaseHumansPolymorphism, Single NucleotideTechnologyUnited KingdomAssortative matingComparative economic developmentGenome-wide association studyOccupational choicePolygenic scoreSTEM

Identifiers

PMID37165452
PMCPMC10170832
OpenAlexW4376132870

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.