TAS2R50 genotype and dietary preferences
Bibliographic record
Abstract
The TAS2R50 gene belongs to the TAS2R taste receptor family, which mediate bitter taste perception. The objective of this study was to determine if genetic variation in TAS2R50 is associated with differences in dietary preferences. Individuals (n=967) between the ages of 20 and 29 years completed a food preference checklist to rank their liking/disliking of 24 bitter foods and beverages on a 9‐point scale. Subjects who reported the lowest 3 points were classified as disliking. DNA was isolated from blood samples and genotyped for a polymorphism in TAS2R50 (rs2900554, G>T). In this population, the frequency of the G and T alleles were 36.8% and 63.2%, respectively. The TAS2R50 genotype was strongly associated with different preferences for grapefruit and grapefruit juice. Individuals with the GG genotype were most likely to report disliking grapefruit followed by individuals with the GT and TT genotypes (30.0%, 15.8%, 7.8%; p<0.0001). Similar effects were observed for grapefruit juice (33.3%, 18.7%, 14.9%; p<0.0001). TAS2R50 genotypes were also associated with differences in preference for kale (p=0.008), spinach (p=0.01), turnip (p=0.03) and bitter sweet chocolate (p=0.05). These results indicate that common variations in the TAS2R50 gene are associated with differences in preference for grapefruit and other bitter tasting foods and may explain inter‐individual differences in the consumption of these foods. Grant Funding Source The Advanced Foods and Materials Network
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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) | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".