Association of pre‐eclampsia with <i><scp>SOD</scp>2</i> Ala16Val polymorphism among mother–father–infant triads
Bibliographic record
Abstract
OBJECTIVE: To determine whether pre-eclampsia is associated with polymorphisms in superoxide dismutase (SOD) genes among mother-father-infant triads. METHODS: We did this follow-up cohort study at 17 urban hospitals in Canada between October 1, 2008, and September 30, 2010. We recruited Canadian participants who had participated in the International Trial of Antioxidant Supplementation for the Prevention of Pre-eclampsia. Saliva specimens were collected for DNA extraction. The SOD1 +35A/C (rs2234694) and SOD2 Ala16Val C/T (rs4880) single-nucleotide polymorphisms (SNPs) were genotyped. RESULTS: Dual presence of the SOD2 Ala16Val TT variant among mother-father pairs (n=657) was associated with an increased risk of pre-eclampsia when compared with the absence of the TT variant among the mother-father pairs (7/48 [14.6%] vs 11/339 [3.2%]; adjusted odds ratio 6.80, 95% confidence interval 2.32-19.95; P<0.001). By contrast, presence of a single T variant in mother-father pairs (16/270 [5.9%]) or mother-infant pairs (8/179 [4.5%]) was not associated with pre-eclampsia. The SOD1 +35A/CSNP was not associated with pre-eclampsia. CONCLUSION: The SOD2 Ala16Val SNP might be involved in paternal influence on the maternal predisposition to pre-eclampsia. Genotyping of mother-father pairs could be a promising strategy to identify pre-eclampsia genes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".