Genetic Heritability of a Shallow Anterior Chamber in Chinese Families with Primary Angle Closure Glaucoma
Bibliographic record
Abstract
PURPOSE: To explore the genetic heritability of a shallow anterior chamber (AC) in families with primary angle closure glaucoma (PACG) and to provide a theoretical basis for the identification of candidate genes responsible for PACG. METHODS: Genetic analyses included familial and segregation analysis, tests for multifactorial inheritance and thresholds. The data was used to determine heritability. The relative risk rate and the possible genetic pattern of a shallow AC were examined in 114 pedigrees with PACG probands. RESULTS: The estimated heritability value of a familial shallow AC was 92.6% +/- 5.9%; the relative risk rate of a shallow AC was 7.91. The rate of affected female siblings to affected males was 2.87:1, which was statistically higher than that of affected male siblings (chi(2) = 9.75, P < 0.01). In two different mating types, the segregation ratios of U x U (parents unaffected) and U x A (one parent affected) were 0.11 and 0.426 respectively. The result of segregation analyses suggested that the genetic pattern of Ux U did not possess the characteristics of a monogenetic model and the genetic pattern of U x A exhibited autosomal dominant inheritance traits. CONCLUSIONS: We have shown that there is a higher heritability and a higher relative risk rate in the Chinese population of familial shallow ACs. The inheritance of a shallow AC may be a genetically heterogeneous trait and influenced by gender with autosomal dominant inheritance in subgroups. These results provide a theoretical basis for the identification of candidate genes responsible for Chinese PACG.
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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 | 0.001 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".