The role of ANKK1 and TTC12 genes on drinking behaviour in tobacco dependent subjects<sup>1</sup>
Bibliographic record
Abstract
OBJECTIVES: Alcohol use disorders (AUD) act as a risk factor for smoking relapse, and tobacco dependent (TD) subjects with comorbid AUD experience more withdrawal symptoms compared to TD subjects without AUD or other psychiatric comorbidities. Our aim was to investigate whether drinking behaviour in the past 12 months and smoking relapse due to alcohol use in TD subjects was associated with polymorphisms flanking the TTC12/ANKK1/DRD2 region since associations have been found between these genes and AUD and TD as separate disorders. METHODS: 380 TD subjects were assessed for alcohol use and relapse to smoking. Subjects were genotyped for polymorphisms located in the TTC12/ANKK1/DRD2 region. RESULTS: Associations were found between ANKK1 haplotype rs4938015C_rs11604671A and age of onset of daily smoking, as well as with hazardous drinking. No genetic association was found with smoking relapse due to alcohol consumption. CONCLUSIONS: Our findings suggest that TD subjects who present earlier age at onset and carry this haplotype may have a higher risk for developing an alcohol use disorder.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".