| Title: | Analysis of Sex-Specific Gene-by-Cohort and Genetic Correlation-by-Cohort Interaction in Educational and Reproductive Outcomes Using the UK Biobank Data. |
| Journal: | Journal of Health and Social Behavior |
| Published: | 12 Aug 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/37572045/ |
| DOI: | https://doi.org/10.1177/00221465231188166 |
| Citations: | 1 (1 in last 2 years) as of 8 Aug 2024 |
Publication 9760
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Abstract
Synthesizing prior gene-by-cohort (G×C) interaction studies, we theorize that changes in genetic effects by social conditions depend on the level of resource constraints, the distribution and use of resources, structural constraints, and constraints on individual choice. Motivated by the theory, we explored several sex-specific G×C trends across a set of outcomes using 30 birth cohorts of UK Biobank data (N = 400,000). We find that genetic coefficients on years of schooling and secondary educational attainment substantially decrease, but genetic coefficients on college attainments only moderately increase. On the other hand, genetic coefficients for education ranks are stable. Genetic coefficients on reproductive behavior increase for younger cohorts. Additional genetic-correlation-by-cohort analysis shows shifting genetic correlations between education and reproductive behavior. Our results suggest that the G×C patterns are highly heterogenous and that social and genetic factors jointly shape the diversity of human phenotypes.</p>
4 Authors
- Boyan Zheng
- Jason Fletcher
- Jie Song
- Qiongshi Lu
1 Application
| Application ID | Title |
|---|---|
| 57284 | Understanding Environmental and Intergenerational Effects on Genetic Measures and Longer Term Social, Economic, and Health Outcomes |
Enabling scientific discoveries that improve human health