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TAS2R50 genotype and dietary preferences

2009· article· en· W88478584 on OpenAlexafffund
Christine Asik, Karen Eny, Sarah Herd, Hyeon Joo Lee, Ahmed El‐Sohemy

Bibliographic record

VenueThe FASEB Journal · 2009
Typearticle
Languageen
FieldNursing
TopicBiochemical Analysis and Sensing Techniques
Canadian institutionsUniversity of Toronto
FundersAdvanced Foods and Materials Network
KeywordsGenotypeGrapefruit juiceTasteFood sciencePopulationAlleleCruciferous vegetablesBiologyMedicineGeneticsGeneBioinformatics

Abstract

fetched live from OpenAlex

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

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.026
GPT teacher head0.263
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2009
Admission routes2
Has abstractyes

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