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Record W4319006809 · doi:10.1161/str.54.suppl_1.wmp106

Abstract WMP106: Sex-stratified Transethnic GWAS Meta-analysis Identifies Novel Candidates For Early Onset Ischemic Stroke

2023· article· en· W4319006809 on OpenAlexaff
Liisa Tomppo, Brady Gaynor, Jukka Putaala, Daniel Strbian, Janika Kõrv, Riina Vibo, Frank‐Erik de Leeuw, Giorgio B. Boncoraglio, Guillaume Paré, Hugh S. Markus, Tatjana Rundek, Kathryn M. Rexrode, Sylvia Wassertheil‐Smoller, Jonathan Rosand, Aki S. Havulinna, Rainer Malik, Braxton D. Mitchell, Steven J. Kittner

Bibliographic record

VenueStroke · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Health and Risk Factors
Canadian institutionsThrombosis and Atherosclerosis Research Institute
Fundersnot available
KeywordsMedicineGenome-wide association studyMeta-analysisLocus (genetics)Stroke (engine)Genetic associationInternal medicineMigraineGeneticsGenotypeGeneSingle-nucleotide polymorphismBiology

Abstract

fetched live from OpenAlex

Background: Early onset ischemic stroke (IS) affects males and females unequally, but the etiologic background of the sex differences remains inadequately understood. We hypothesize that stratifying GWAS by sex provides an opportunity to 1) identify loci that shed light on mechanisms and pathways relevant to sex specific effects in IS and 2) discover novel IS loci. Methods: We performed a sex-stratified transethnic GWAS meta-analysis in 6,879 female IS cases and 11,264 male cases < 60 years-old and > 700,000 sex-matched controls from the Early Onset Stroke Genetics Consortium. We tested for difference (p-diff) between the men- and women-specific beta-estimates with corresponding standard errors using the t statistics. Results: We found genome-wide significant evidence for association (p < 5 х 10 -8 ) at a locus near NYAP2 for females (chr2:225661726:C:CT, p = 2.11 х 10 -8 , OR = 1.38, p-diff = 1.69 х 10 -4 ) and in PIAS4 for males (chr19:4013652:C:CA, p = 6.29 х 10 -9 , OR = 0.85, p-diff = 0.02) in transethnic analysis. NYAP2 has previously shown suggestive evidence for association with early onset menopause. PIAS4 , a candidate gene for migraine, has shown sex-specific expression levels in migraine patients compared to controls. Additional loci with suggestive evidence (p < 1 х 10 -6 ) for association in a sex-dependent manner included MMP1-MMP3 - MMP12 , a previously known stroke locus, for males (chr11:102822455:A:G, p = 3.99 х 10 -7 , OR = 1.17, p-diff = 0.02), and a novel stroke locus near TMX1 , a transmembrane platelet protein, for females (chr14:51193174:G:C, p = 4.15 х 10 -7 , OR = 1.76, p-diff = 4.08 х 10 -3 ). The known early onset IS locus ABO did not show evidence for sex-specific association despite suggestive association in the male stratified analysis (chr9:133274295:A:T, p = 3.15 х 10 -7 , OR = 1.17, p-diff = 0.81). Conclusions: We identified potential novel stroke loci and evidence for sex differences at other biologically relevant loci by stratifying GWAS by sex. To our knowledge, our cohort represents the largest early onset IS GWAS cohort to date. However, our findings require verification in large sample sizes and also evaluation in older onset IS. Sex-specific association analysis is a potentially useful tool for characterizing the genetic basis of early onset IS.

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)0.007
metaresearch head score (Gemma)0.014
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.014
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.014
Bibliometrics0.0020.004
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.067
GPT teacher head0.334
Teacher spread0.267 · 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
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
Published2023
Admission routes1
Has abstractyes

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