| Title: | Separating Scarring Effect and Selection of Early-Life Exposures With Genetic Data. |
| Journal: | Demography |
| Published: | 14 Mar 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/38482998/ |
| DOI: | https://doi.org/10.1215/00703370-11239766 |
Publication 10112
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
Causal life course research examining consequences of early-life exposures has largely relied on associations between early-life environments and later-life outcomes using exogenous environmental shocks. Nonetheless, even with (quasi-)randomized early-life exposures, these associations may reflect not only causation ("scarring") but also selection (i.e., which members are included in data assessing later life). Investigating this selection and its impacts on estimated effects of early-life conditions has, however, often been ignored because of a lack of pre-exposure data. This study proposes an approach for assessing and correcting selection, separately from scarring, using genetic measurements. Because genetic measurements are determined at the time of conception, any associations with early-life exposures should be interpreted as selection. Using data from the UK Biobank, we find that in utero exposure to a higher area-level infant mortality rate is associated with genetic predispositions correlated with better educational attainment and health. These findings point to the direction and magnitude of selection from this exposure. Corrections for this selection in examinations of effects of exposure on later educational attainment suggest underestimates of 26-74%; effects on other life course outcomes also vary across selection correction methods.</p>
4 Authors
- Shiro Furuya
- Fengyi Zheng
- Qiongshi Lu
- Jason M Fletcher
Enabling scientific discoveries that improve human health