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Record W2290519920 · doi:10.1161/str.43.suppl_1.a2414

Abstract 2414: Genome-wide Association Analyses From The Vitamin Intervention For Stroke Prevention (visp) Trial Identify Genetic Loci That Influence Post-stroke Measures Of Inflammation And Thrombosis

2012· article· en· W2290519920 on OpenAlexaff
Michèle M. Sale, Wei‐Min Chen, Fang Chen, Fang‐Chi Hsu, Keith L. Keene, Josyf C. Mychaleckyj, Kimberly F. Doheny, Corinne D. Boehm, Cathy C. Laurie, Stephanie M. Gogarten, Ebony Bookman, Karen L. Furie, Bradford B. Worrall, GARNET

Bibliographic record

VenueStroke · 2012
Typearticle
Languageen
FieldMedicine
TopicGDF15 and Related Biomarkers
Canadian institutionsKimberly-Clark (Canada)
Fundersnot available
KeywordsMedicineGenome-wide association studySingle-nucleotide polymorphismMethylenetetrahydrofolate reductaseStroke (engine)PopulationInternal medicineBioinformaticsGeneticsGenotypeBiologyGene

Abstract

fetched live from OpenAlex

The Vitamin Intervention for Stroke Prevention (VISP) trial was a multi-center, controlled, double blinded clinical trial, designed to determine whether the daily intake of high dose folic acid, vitamins B 6 and B 12 reduced recurrent cerebral infarction. As part of GARNET (the Genomics and Randomized Trials Network), we have performed a Genome-Wide Association Study (GWAS), using the Illumina Omni 1M SNP platform in 2,100 ischemic stroke patients from VISP. Extensive quality control (QC) measures were performed, resulting in a total of 737,081 SNPs for analysis. We have performed GWA analyses for baseline quantitative measures of creatinine, total cholesterol (TC), high density lipoprotein (HDL), triglycerides (TG), C-reactive protein (CRP), Factor 1+2 thrombin-antithrombin (TAT), tissue plasminogen activator (tPA), thrombomodulin (TM) and von Willebrand factor (vWF), using linear regression approaches implemented in PLINK. Principal component analysis (PCA), implemented in KING, was utilized to address confounders due to population substructure. Inverse normal transformation was performed for each of the quantitative traits, prior to analysis. Genome wide association analyses were performed using age, sex and the top 10 principal components as covariates. There is no inflation in our GWAS scan results (GC lambda ≤ 1.012 in all scans). We observed three associated loci that exceed genome wide significance (≤6.8×10 -8 ): in or near the CETP gene for HDL (6.5×10 -10 ), the CRP gene for CRP (7.4×10 -10 ), and at the ABO locus for vWF (8.7×10 -31 ). The most strongly associated SNPs for other traits were closest to the following genes: GABRA3 for creatinine ( rs994424 , 5.7×10 -6 ), SPATA13 for TC (rs9553189, 3.2×10 -7 ), between ARMCX2 and NXF5 genes on the X chromosome for TG (rs2213369, 1.7×10 -6 ); the ZIC4 gene for TAT (rs17565826, 4.1×10-6); LOC283089 for tPA (rs3011337, 3.6×10 -6 ); and JAZF1 for TM (rs10258132, 1.1×10 -6 ). Putative novel associations with these traits will require confirmation in larger independent samples. Our GWAS scan has successfully replicated associations for SNPs in the CETP, CRP and ABO genes for HDL, CRP and vWF respectively in an ischemic stroke population.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.451
Threshold uncertainty score0.632

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.048
GPT teacher head0.334
Teacher spread0.286 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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