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Record W4410323835 · doi:10.1161/jaha.124.036525

Cross‐Ancestry Associations of Spontaneous Coronary Artery Dissection Genetic Risk With Coronary Atherosclerosis and Migraine Headache

2025· article· en· W4410323835 on OpenAlexaff
Chang Xu, Min‐Lee Yang, Pik Fang Kho, Shoa L. Clarke, Catherine Tcheandjieu, Patricia A. Peyser, Cathy S.J. Fann, Shih‐Pin Chen, Jacqueline Saw, Xiang Zhou, Themistocles L. Assimes, Santhi K. Ganesh

Bibliographic record

VenueJournal of the American Heart Association · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Issues in Pregnancy
Canadian institutionsUniversity of British Columbia
FundersNational Human Genome Research InstituteNational Heart, Lung, and Blood InstituteU.S. Department of Veterans Affairs
KeywordsScadMedicineOdds ratioMyocardial infarctionCoronary artery diseaseInternal medicineMigraineStroke (engine)Cardiology

Abstract

fetched live from OpenAlex

Background Research studies of spontaneous coronary artery dissection (SCAD) have been primarily focused on European‐ancestry individuals, with limited recognition and investigation in non–European‐ancestry individuals. While SCAD has not been well ascertained in non–European‐ancestry groups, pleiotropic associated traits identified in those of European ancestry have been assessed in individuals of other ancestries. Whether these traits are associated with the complex genetic architecture of SCAD in those of non‐European ancestry has not been previously investigated. Methods We investigated the associations of an established SCAD polygenic score with multiple vascular diseases in ≈900 000 ancestrally diverse participants of large‐scale studies. Individual‐level data from the UK Biobank and the Million Veteran Program and summary statistics of publicly available databases were analyzed. Results A set of associations between SCAD polygenic score and related vascular diseases were replicated in non‐European samples. Notable associations with the SCAD polygenic score included (1) coronary artery disease, myocardial infarction, and migraine headache in a Hispanic group (coronary artery disease: odds ratio [OR], 0.93 [95% CI, 0.90–0.95]; P =2.35×10 −7 ; myocardial infarction: OR, 0.88 [95% CI, 0.80–0.96]; P =5.73×10 −3 ; migraine headache: OR, 1.03 [95% CI, 1.01–1.06]; P =1.86×10 −2 ) of the Million Veteran Program; (2) headache in an African‐ancestry group (OR, 1.22 [95% CI, 1.06–1.41]; P =6.94×10 −3 ) and a South Asian–ancestry group (OR, 1.18 [95% CI, 1.02–1.37]; P =2.43×10 −2 ) of the UK Biobank; and (3) coronary artery disease, myocardial infarction, and migraine headache in East Asian–ancestry cohorts (coronary artery disease: OR, 0.95 [95% CI, 0.93–0.98]; P =2.66×10 −3 ; myocardial infarction: OR, 0.86 [95% CI, 0.83–0.89]; P =9.51×10 −16 ; migraine headache: OR, 1.27 [95% CI, 1.10–1.47]; P =1.03×10 −3 ). Conclusions Pleiotropic associations of SCAD polygenic risk with related vascular diseases previously identified in European‐ancestry groups showed notable, largely consistent patterns in non–European‐ancestry 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 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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.004
Threshold uncertainty score0.389

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.011
GPT teacher head0.280
Teacher spread0.269 · 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.

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

Citations2
Published2025
Admission routes1
Has abstractyes

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