Positive association between POU1F1 and mental retardation in young females in the Chinese Han population
Bibliographic record
Abstract
Genetic defects attributable to the genes involved in the hypothalamus-pituitary-thyroid (HPT) gland axis can cause abnormal thyroid hormone function and mental retardation (MR). Pit-1, encoded by the POU1F1 gene on human chromosome 3p11, is a pituitary-specific transcription factor responsible for the expression of several pituitary hormones. Thyrotropin is one of these hormones and is an important regulator in the HPT axis. One of the symptoms of patients with POU1F1 mutations is hypothyroidism and abnormalities of the nervous system early in the period after birth. We performed a case-control association study and a quantitative analysis of IQ to investigate the possible genetic contribution of POU1F1 in the Chinese Han population. Pairwise linkage disequilibrium (LD) analysis showed that rs300996, snp-7057 and rs300977 were in strong LD. There were significant differences of allele, genotype and haplotype frequencies of these three single nucleotide polymorphisms (SNPs) between cases and controls. When we conducted a breakdown comparison between cases and controls within different gender groups, no positive results in males were found. In females, however, we found significant differences between cases and controls in allele frequency distribution of rs300996 (P=0.0003), snp-7057 (P=0.0001) and rs300977 (P=0.0005) and in the distributions of common haplotypes combined by these SNPs (global P=0.0050). The P-value was 0.0301 for rs300996 and 0.0397 for the haplotype combination of rs300996-snp-7057-rs300977 in the analysis of the quantitative effects of the alleles and haplotypes on IQ in females. Our data suggest that POU1F1 may affect MR through a gender-specific mechanism.
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".