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Record W4404406067 · doi:10.1101/2024.11.12.623243

Bitter taste genetics and oral health in Canadian Longitudinal Study on Aging

2024· preprint· en· W4404406067 on OpenAlexaffabout
Mohsen Shafizadeh, Vikram Bhatia, Samah Ahmed, Britt I. Drögemöller, Chrysi Stavropoulou, Philip St. John, Rajinder P. Bhullar, Prashen Chelikani, Carol Hitchon

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2024
Typepreprint
Languageen
FieldNursing
TopicBiochemical Analysis and Sensing Techniques
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsTasteGeneticsLongitudinal studyPsychologyMedicineGerontologyBiologyNeurosciencePathology

Abstract

fetched live from OpenAlex

SUMMARY This study aimed to investigate the association of single nucleotide polymorphisms (SNPs) in 25 Bitter Taste Receptor genes ( TAS2R s) and 12 TAS2R pseudogenes with self-reported oral health outcomes in the Canadian Longitudinal Study on Aging (CLSA) cohort. Following quality control, 124 SNPs with a minor allele frequency > 0.01 and 21,991 individuals of European ancestry were included in the analysis. Fifteen SNPs in TAS2R8, 9, 13, 14, 20 , and 50 were significantly associated with self-reported sore jaw muscles, a symptom commonly linked to temporomandibular disorders (TMDs). TAS2R20 exhibited the highest number of associated SNPs. Structure-function analysis suggests that variants in TAS2R20 may contribute to this symptom by altering ligand interactions. These findings highlight the potential for TAS2R genetic screening to identify individuals at elevated risk for TMD, supporting the development of personalized treatment strategies and advancing our understanding of TMD genetic risk factors.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.083
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.036
GPT teacher head0.294
Teacher spread0.258 · 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 teacher head, not a consensus.

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

Citations1
Published2024
Admission routes2
Has abstractyes

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