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Record W1643026263 · doi:10.1161/circ.129.suppl_1.p414

Abstract P414: Omega-3 Fatty Acids Modify the Genetic Risk of Early Onset Acute Coronary Syndrome

2014· article· en· W1643026263 on OpenAlexaff
Sylvie S.L. Leung Yinko, James C. Engert, George Thanassoulis, Ken D. Stark, Meytal Avgil Tsadok, Louise Pilote

Bibliographic record

VenueCirculation · 2014
Typearticle
Languageen
FieldNursing
TopicFatty Acid Research and Health
Canadian institutionsUniversity of WaterlooMcGill UniversityMcGill University Health Centre
Fundersnot available
KeywordsMedicineSingle-nucleotide polymorphismInterquartile rangePopulationSNPInternal medicineGenotypeGeneticsBiologyGene

Abstract

fetched live from OpenAlex

Background: Recent gene-environment interaction studies suggest that diet may influence an individual’s genetic predisposition to cardiovascular risk. We tested the hypothesis that omega-3 fatty acid intake may influence the risk for acute coronary syndrome (ACS) conferred by genetic polymorphisms among patients with premature ACS. Methods: Our study population consisted of 706 patients of white European descent enrolled in GENESIS PRAXY, a multicentre prospective cohort study of patients aged 18 to 55 years hospitalized with ACS. We used a case-only design to investigate gene-environment interactions between the omega-3 index (a validated biomarker of omega-3 fatty acid intake) and 30 single nucleotide polymorphisms (SNPs) that have been robustly associated with ACS. We used logistic regression to study the associations between each SNP and the omega-3 index. Interaction was also assessed between the omega-3 index and a genetic risk score generated from the 30 SNPs as a simple unweighted count of the risk alleles for each SNP. All the SNPs used in the genetic risk score were uncorrelated (r2 <0.3). We further adjusted all models for age and sex. Results: The median age of our population was 49 years and 72.1% were male. Median omega-3 index was 3.35% (interquartile range 2.81-4.07%). None of the SNPs deviated from Hardy-Weinberg equilibrium. A synergistic multiplicative interaction for increased ACS risk was found between carriers of chromosome 9p21 variant rs4977574 and low omega-3 index (OR 1.57, 95% CI 1.07-2.32, p=0.02), but did not reach significance after correction for multiple testing. Similar results were obtained in the adjusted model (OR 1.55, 95% CI 1.05-2.29, p=0.03). We did not observe interaction between the genetic risk score and the omega-3 index. Conclusions: In conclusion, our results suggest that omega-3 fatty acid intake may modify the genetic risk conferred by chromosome 9p21 variation among ACS patients but require independent replication in other cohorts. Further validation research is also warranted to examine whether this interaction occurs in other ethnic groups.

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)0.002
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 score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.294
Teacher spread0.268 · 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
Published2014
Admission routes1
Has abstractyes

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