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Record W2147245308 · doi:10.1371/journal.pgen.1002033

Genome-Wide Meta-Analysis Identifies Regions on 7p21 (AHR) and 15q24 (CYP1A2) As Determinants of Habitual Caffeine Consumption

2011· review· en· W2147245308 on OpenAlexfundno aff
Marilyn C. Cornelis, Keri L. Monda, Kai Yu, Nina P. Paynter, Elizabeth M. Azzato, Siiri Bennett, Sonja I. Berndt, Eric Boerwinkle, Stephen J. Chanock, Nilanjan Chatterjee, David Couper, Gary C. Curhan, Gerardo Heiss, Frank B. Hu, David J. Hunter, Kevin B. Jacobs, Majken K. Jensen, Peter Kraft, Maria Teresa Landi, Jennifer A. Nettleton, Mark P. Purdue, Preetha Rajaraman, Eric B. Rimm, Lynda M. Rose, Nathaniel Rothman, Debra T. Silverman, Rachael Z. Stolzenberg‐Solomon, Amy F. Subar, Meredith Yeager, Daniel I. Chasman, Rob M. van Dam, Neil E. Caporaso

Bibliographic record

VenuePLoS Genetics · 2011
Typereview
Languageen
FieldMedicine
TopicCoffee research and impacts
Canadian institutionsnot available
FundersNational Center for Research ResourcesNational Institute of Dental and Craniofacial ResearchNational Human Genome Research InstituteNational Institute on Drug AbuseNational Heart, Lung, and Blood InstituteNational Cancer InstituteNational Institute on Alcohol Abuse and AlcoholismCanadian Institutes of Health ResearchU.S. Public Health ServiceDivision of Cancer Prevention, National Cancer InstituteFondation LeducqBroad InstituteNational Institute of Diabetes and Digestive and Kidney DiseasesJohns Hopkins UniversityAmgenDonald W. Reynolds FoundationNational Institutes of HealthU.S. Department of Health and Human Services
KeywordsCYP1A2BiologyCaffeineGeneticsPopulationMeta-analysisGenomeGeneInternal medicineMedicineEnvironmental healthEndocrinology

Abstract

fetched live from OpenAlex

We report the first genome-wide association study of habitual caffeine intake. We included 47,341 individuals of European descent based on five population-based studies within the United States. In a meta-analysis adjusted for age, sex, smoking, and eigenvectors of population variation, two loci achieved genome-wide significance: 7p21 (P = 2.4 × 10(-19)), near AHR, and 15q24 (P = 5.2 × 10(-14)), between CYP1A1 and CYP1A2. Both the AHR and CYP1A2 genes are biologically plausible candidates as CYP1A2 metabolizes caffeine and AHR regulates CYP1A2.

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)0.002
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: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0020.004
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.363
GPT teacher head0.422
Teacher spread0.059 · 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 designMeta-analysis
Domainnot available
GenreReview

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

Citations234
Published2011
Admission routes1
Has abstractyes

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