Cerebral Palsy and Polymorphism of the Chemokine <b><i>CCL18</i></b> in Very Preterm Children
Bibliographic record
Abstract
BACKGROUND: Prematurity and hereditary factors predispose to cerebral palsy (CP). Previously, low cord blood levels of the anti-inflammatory chemokine CCL18 have been found to be associated with risk of CP in preterm children. OBJECTIVES: To investigate the association between single nucleotide polymorphisms (SNPs) in CCL18 and susceptibility to CP, as well as the association between the SNPs and cord blood levels of CCL18. METHODS: The original population comprised very-low-gestational-age (VLGA; <32 weeks) children from northern and central Finland (25 cases, 195 controls). Five CCL18 SNPs were genotyped and examined for associations with CP and cord blood CCL18. The replication population comprised Caucasian VLGA children from southern Finland and Canada (23 cases, 248 controls). RESULTS: In the original population, SNP rs2735835 was associated with CP; the minor allele A was underrepresented in cases compared to controls (OR = 0.42, 95% CI: 0.21-0.83, p = 0.01). This association remained significant after adjustment for multiple testing and risk factors of CP, and after combining the original and replication populations (OR = 0.52, 95% CI: 0.33-0.83, p = 0.005). Intraventricular hemorrhage (IVH) additively predicted CP. The Rs2015086 genotype was modestly associated with CCL18 concentration. CONCLUSIONS: A common CCL18 polymorphism together with IVH had an additive influence on CP susceptibility. Developmentally regulated CCL18, confined to primates, may be involved in the complex sequence of events leading to brain injury and predisposition to CP phenotype.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".