| Title: | Genetic basis of job attainment characteristics and the genetic sharing with other SES indices and well-being |
| Journal: | Scientific Reports |
| Published: | 26 May 2022 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/35618877/ |
| DOI: | https://doi.org/10.1038/s41598-022-12905-y |
| URL: | https://www.nature.com/articles/s41598-022-12905-y.pdf |
| Citations: | 2 (1 in last 2 years) as of 8 Aug 2024 |
Publication 10275
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Abstract
Job attainment is an important component of socioeconomic status (SES). There is currently a paucity of genomic research on an individual's job attainment, as well as how it is related to other SES variables and overall well-being at the whole genome level. By incorporating O*NET occupational information into the UK Biobank database, we performed GWAS analyses of six major job attainment characteristics - job complexity, autonomy, innovation, information demands, emotional demands, and physical demands - on 219,483 individuals of European ancestry. The job attainment characteristics had moderate to high pairwise genetic correlations, manifested by three latent factors: cognitive, emotional, and physical requirements. The latent factor of overall job requirement underlying the job attainment traits represented a critical genetic path from educational attainment to income (P < 0.001). Job attainment characteristics were genetically positively correlated with positive health and well-being outcomes (i.e., subject well-being, overall health rating, number of non-cancer illnesses etc. (|rg|: 0.14-0.51), similar to other SES indices; however, the genetic correlations exhibited opposite directions for physical demands (|rg|: 0.14-0.51) and were largely negligible for emotional demands. By adopting a finer-grained approach to capture specific job attainment phenotypes, our study represents an important step forward in understanding the shared genetic architecture among job attainment characteristics, other SES indices, and potential role in health and well-being outcomes.</p>
6 Authors
- Zhaoli Song
- Wen-Dong Li
- Hengtong Li
- Xin Zhang
- Nan Wang
- Qiao Fan
1 Application
| Application ID | Title |
|---|---|
| 37334 | Gene-Environment Interaction and Occupational Well-Being |
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