Bibliographic record
Abstract
Abstract Genetic association studies of obsessive‐compulsive disorder (OCD) have yielded inconsistent findings because those studies have tended to have small sample sizes and low statistical power, thereby making it difficult to reliably detect small genetic effects. Meta‐analysis combines individual studies thereby increasing the power to detect small effects. Meta‐analysis suggests that OCD is associated with serotonin‐related polymorphisms ( 5‐HTTLPR and HTR2A ) and, in males only, polymorphisms involving catecholamine modulation ( COMT and MAOA ). There is also suggestive evidence that many other polymorphisms are associated with OCD. Effects of individual polymorphisms are small, suggesting that OCD is shaped by multiple genes that each make small, incremental contributions to the risk of developing the disorder. Twin studies show that there are genetic similarities and differences across OCD subtypes (early versus late onset) and across major types of OCD symptoms (e.g. washing, checking, and ordering). Genetic association studies of specific subtypes and symptoms may advance our understanding of OCD. Key Concepts: Genetic association studies, typically with small sample sizes, tend to fail to reliably identify OCD‐related polymorphisms, because genetic effects tend to be small. Meta‐analysis, combining numerous genetic studies, indicates that numerous genes play a small, incremental role in the risk of developing OCD. The genes most robustly associated with OCD are serotonin‐related and, in males, are those broadly involved in catecholamine modulation. There is suggestive evidence that other genes are involved. Haplotypes associated with glutamate regulation may also be associated with OCD. Twin studies can facilitate molecular genetic research by shedding light on aetiologic differences among OCD symptoms and subtypes. Twin research shows that some genetic factors are common to all OCD symptoms, whereas others are symptom‐specific. Genetic association studies of specific subtypes and symptoms may advance our understanding of OCD.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".