Association Between Socioeconomic Status and Major Congenital Anomalies: A Two‐Sample Mendelian Randomization Study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Traditional observational studies suggest that socioeconomic status (SES) may influence the risk of congenital anomalies; however, an association remains unclear due to residual confounding. This study used Mendelian randomization (MR) to explore the potential causal relationship between SES indicators and specific congenital anomalies. METHODS: We performed two-sample MR analyses to explore whether three indicators of SES-educational attainment, household income, and the Townsend Deprivation Index-have a relationship with the risk of major congenital anomalies. Genetic variants associated with these SES indicators were obtained from the MRC Integrative Epidemiology Unit (IEU) OpenGWAS database, based on UK Biobank data. Genetic associations with nine categories of congenital anomalies were sourced from the FinnGen study. The primary MR method was inverse-variance weighted (IVW), with sensitivity analyses and Bonferroni correction applied to account for multiple testing. RESULTS: Prior to correction for multiple testing, higher educational attainment was associated with reduced risk of congenital heart defects (CHDs) (OR = 0.60, 95% CI: 0.41-0.88; p = 0.001), congenital respiratory system malformations (OR = 0.20, 95% CI: 0.06-0.62; p = 0.005), and musculoskeletal malformations (OR = 0.47, 95% CI: 0.29-0.76; p = 0.002). A lower Townsend Deprivation Index was unexpectedly associated with a higher risk of congenital digestive tract anomalies (OR = 4.53, 95% CI: 1.10-18.63; p = 0.036). However, after Bonferroni correction, only the association between educational attainment and CHDs remained significant (adjusted p = 0.02). CONCLUSIONS: We found limited evidence on the association between SES and congenital anomalies. Only higher educational attainment was significantly associated with reduced risk of CHDs after multiple testing correction. Further research with refined methods is needed to clarify these associations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it