Association of <i>TCF7L2</i> Allelic Variations with Gastric Function, Satiation, and GLP‐1 Levels
Bibliographic record
Abstract
OBJECTIVE: Genetic variation in transcription factor 7-like 2 (TCF7L2), a regulator of proglucagon processing, is reproducibly associated with type 2 diabetes. GLP-1 alters gastric function and increases satiation. HYPOTHESIS: Genetic variation in TCF7L2 is associated with satiation, gastric motor function, and GLP-1 concentrations. METHODS: In 62 adults, a single nucleotide polymorphism (SNP) of TCF7L2 (rs7903146) was genotyped and associations with gastric emptying (GE) of solids and liquids, gastric volume (GV), and satiation (maximum tolerated volume and symptoms after nutrient drink test) were explored using a dominant genetic model, with gender and BMI as covariates. In 50 of the participants, we also measured plasma GLP-1 during fasting and after ingestion of a nutrient drink. RESULTS: Presence of the T allele compared to CC genotype in rs7903146 SNP of the TCF7L2 gene was associated with reduced fasting GV (246.3 ± 11.4 mL for CC group, compared to 215.7 ± 11.4 mL for CT/TT group, p= 0.05) and accelerated GE t(1/2) of liquids (26.3 ± 2.0 minutes for CC compared to 17.7 ± 1.4 for CT/TT, p < 0.005). There was no significant association of rs7903146 SNP with GE of solids, gastric accommodation, satiation, fasting, or postprandial GLP-1. CONCLUSION: Our data suggest TCF7L2 is associated with altered gastric functions that may predispose to obesity.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".