MétaCan
Menu
Back to cohort

Association Between <i>LCT</i> ‐13910 C&gt;T Genotype and Plasma 25‐Hydroxyvitamin D with Premenstrual Symptoms

2016· article· en· W4389024977 on OpenAlexafffundabout
Alicia Caroline Jarosz, Ohood Alharbi, Ahmed El‐Sohemy

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNutrition, Genetics, and Disease
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsOdds ratioInternal medicineMedicineVitamin D and neurologyConfidence intervalMendelian randomizationGenotypeGastroenterologyVitaminLactose intoleranceEndocrinologyLactoseBiologyGeneticsFood science

Abstract

fetched live from OpenAlex

Background Vitamin D has been associated with premenstrual symptoms, but the findings have been inconclusive. Dairy is a good dietary source of vitamin D, but individuals with lactose intolerance consume less dairy and have lower plasma 25(OH)‐vitamin D levels. The LCT ‐ 13910 C>T gene variant is a strong predictor of lactose intolerance where those who have the CC genotype limit their intake of dairy. The objective of this study was to determine the association between 25(OH)‐vitamin D status and LCT genotype on premenstrual symptoms. Methods 964 women aged 20–29 years participating in the Toronto Nutrigenomics and Health Study provided data on their premenstrual symptoms and fasting blood samples were taken for genotyping and plasma 25(OH) D analysis. Optimal, sufficient, insufficient, and deficient vitamin D status was defined as ≥75, 50–74.9, 30–49.9, and <30 nmol/L, respectively. Logistic regressions were used to calculate the odds ratio (OR) and 95% confidence interval (CI) for the associations between vitamin D status and premenstrual symptoms. A Mendelian Randomization approach was used in the analysis of covariance to determine the association between LCT genotype and premenstrual symptoms. Results The odds ratio (95% CI) for experiencing clumsiness was 2.63 (1.32–5.21) for subjects with deficient plasma 25(OH)‐vitamin D status compared to those with optimal status. The corresponding odds ratios (95% CIs) for those experiencing confusion and with deficient or insufficient plasma 25(OH)‐vitamin D were 2.57 (1.42–4.67) and 1.82 (1.09–3.05), respectively, compared to those with optimal status. Plasma 25(OH)‐vitamin D status was not associated with experiencing any of the other premenstrual symptoms (acne, bloating, cramps, mood swings, increased appetite, fatigue, headache, anxiety, sexual desire insomnia, nausea, depression, or desire to be alone). The odds ratios (95% CIs) for experiencing clumsiness and cramps were 2.12 (1.08–4.17) and 0.55 (0.33–0.92), respectively, for individuals with the LCT CC genotype compared to those with the TT genotype. LCT genotype was not significantly associated with any of the other symptoms. Conclusion Our findings indicate that plasma 25‐Hydroxyvitamin D status and LCT genotype are associated with certain premenstrual symptoms, suggesting that dairy might be associated with both an increased and decreased risk of certain premenstrual symptoms. Support or Funding Information Research support: A.C.J. is a recipient of a Natural Sciences and Engineering Research Council Graduate Scholarship

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)0.003
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 score0.050
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.006
GPT teacher head0.202
Teacher spread0.196 · 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
Published2016
Admission routes3
Has abstractyes

Explore more

Same venueThe FASEB JournalSame topicNutrition, Genetics, and DiseaseFrench-language works237,207