Relationship Between Psychosocial Distress in Pregnancy and Two Genes Associated With Human Social Interaction: A Pilot Study
Bibliographic record
Abstract
Background Prenatal depression, anxiety, and stress (prenatal psychosocial distress) are common, and several environmental risk factors have been implicated in their development. Variation in genes, specifically single nucleotide polymorphisms (SNPs), may explain why some women develop maternal mental health concerns while others do not. Purpose The purpose of this pilot study was to determine the feasibility of completing SNP analyses using whole blood collected prenatally between 2008 and 2011. We examined the association between SNPs in two genes ( FKBP5 and OXTR) among women with low and high prenatal psychosocial distress. Methods A subset ( N = 50, 25 high and 25 low prenatal psychosocial distress) of participants was selected from the All Our Families pregnancy cohort. DNA was extracted from maternal blood and used for selected SNP analysis. Participants’ scores on the Edinburgh Prenatal Depression Scale, Spielberger State Anxiety Inventory, and Perceived Stress Scale were used along with demographic variables. Results Genotype distribution was not significantly different between the low and high prenatal psychosocial distress groups for either the FKBP5 or the OXTR SNP ( p = .699 and p = .125). After controlling for maternal age and income, women with the GG genotype at the OXTR SNP (rs237885) were statistically less likely to be in the high prenatal psychosocial distress group ( p = .037). Conclusion OXTR SNP rs237885, maternal age, and lower income were associated with prenatal psychosocial distress. This pilot study demonstrated the feasibility of continuing to a larger study that incorporates additional environmental and genetic information.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".