Povezanost polimorfizama gena za serotoninski transportni sustav s fenotipom Crohnove bolesti
Bibliographic record
Abstract
In this retrospective case-control study we analyzed the potential association of the promoter (5-HTTLPR and rs25531) and intronic Stin2 VNTR polymorphic regions of the SLC6A4 gene with the incidence of Crohn's disease (CD). The study included 192 CD patients and 157 healthy control subjects (age and gender matched with patients group). Genotyping was performed by polymerase chain reaction and correlation of polymorphic SLC6A4 gene variants with CD and its clinical subtypes was analyzed by chi-square and Fisher's exact test, binary logistic regression and haplotype analysis. The results confirmed similar gender (CD: 88 (45.8%) female, 104 (54.2%) male; HC: 84 (53.5%) female, 73 (46.5%) male; χ2 = 2.03, df =1, P = 0.154) and age (CD: 41.34±12.789; HC: 41.68±8.789; P = 0.091) distribution among CD and HC groups involved in the study. Significant difference was observed in STin2 genotype (CD: χ2=15.86, df = 4, P = 0,003; females: χ2 = 15.33, df = 4, P = 0.004) and allele (CD: χ2 = 12.03; df = 2, P = 0.002; females: χ2 = 9.85, df = 2; P = 0.007) distribution between CD and HC and between corresponding female subgroups, with significant negative association (CD: P = 0.013, OR adjusted by age and gender = 0.5, 95% CI=0.29-0.86; females: P = 0.006, OR adjusted by age = 0.32, 95% CI=0.14-0.72) of biallelic ss (STin2.9 and Stin2.10) STin2 genotype with CD, and significantly higher S-STin2.12 ( 5-HTTLPR/rs25531: S-STin2: STin2.12) haplotype distribution (P = 0.004, OR=1.62, 95 % CI=1.16-2.26) in CD. There was no significant association between 5-HTTLPR and rs25531 genotype or allele frequencies and CD or between any SLC6A4 polymorphic loci among different clinical subtypes of Crohns disease classified according to Montreal consensus. In conclusion, STin2 VNTR polymorphism of SLC6A4 gene may contribute to the pathogenesis of CD.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".