Keine Assoziation zwischen Alexithymie und dem Catechol-O-Methyltransferase Val158Met-Polymorphismus
Bibliographic record
Abstract
OBJECTIVES: Reduced concentrations of dopamine in prefrontal brain structures may play a role in alexithymia. Dopamine degradation in the orbitofrontal cortex is regulated by catechol-O-methyltransferase (COMT), and a functional single nucleotide polymorphism of the COMT gene, Val158Met, has been related to psychiatric illness. This study examines the association between the COMT Val158Met gene polymorphism, and alexithymia. METHODS: 120 healthy students and 120 patients with mental disorders were genotyped for the COMT Val158Met polymorphism. Additionally, the Toronto Alexithymia Scale (TAS-20) was administered. RESULTS: COMT genotype did not show a significant correlation with the TAS-20 in either group. CONCLUSIONS: COMT Val158Met polymorphism alone does not seem to be a major factor in alexithymia in healthy students. This is true even if patients with mental disorders covering a broader range of alexithymia are included. Thus, other genes, possibly interacting with cultural, environmental, and developmental factors, may be implicated.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".