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Record W2290917873 · doi:10.1161/atvb.34.suppl_1.361

Abstract 361: Epistasis Analysis Identifies Extracellular Matrix Genes Interacting With the COL4A1/COL4A2 Coronary Artery Disease Locus

2014· article· en· W2290917873 on OpenAlexaffabout
Adam W. Turner, Majid Nikpay, Paulina Lau, Sébastien Soubeyrand, Ruth McPherson

Bibliographic record

VenueArteriosclerosis Thrombosis and Vascular Biology · 2014
Typearticle
Languageen
FieldMedicine
TopicCell Adhesion Molecules Research
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsGenome-wide association studySingle-nucleotide polymorphismEpistasisLocus (genetics)GeneticsBiologyGenetic associationSNPGenetic architectureExpression quantitative trait lociCoronary artery diseaseQuantitative trait locusAlleleGeneMedicineGenotypeInternal medicine

Abstract

fetched live from OpenAlex

The COL4A1/COL4A2 locus on chromosome 13q34 was significantly associated with coronary artery disease (CAD) in the CARDIoGRAM (Nature Genetics, 2011) and the CARDIoGRAMPlusC4D (Nature Genetics, 2013) meta analyses of several large genome-wide association studies (GWAS). Determination of causative SNPs stemming from GWAS data requires a number of bioinformatic and lab based approaches. Functional analysis of GWAS loci can be aided by epistasis analysis, which interrogates synergistic associations with a given trait between pairs of SNPs, either at the same locus or at different loci. We investigated 4 CAD GWAS cohorts in this study (Ottawa Heart Genomics Study A, Ottawa Heart Genomics Study B, Cleveland Clinic Gene Bank, Duke CATHGEN Study). For epistasis analysis we tested whether CAD-associated SNPs at the COL4A1/COL4A2 locus displayed interaction with other CAD-associated SNPs across the genome and used 2 lists of SNPs. The first list of SNPs were ones at the COL4A1/COL4A2 locus significant for CAD association and the second list of SNPs were ones significantly associated with CAD from across the genome. Using PLINK we then generated a list of SNP pairs showing interaction (Pinteraction<0.05) for CAD association within 1 or more cohorts. Epistasis analysis generated over a dozen loci that demonstrated interaction with COL4A1/COL4A2 SNPs for CAD association, many of which have putative functional roles with respect to CAD. Genes integral to pathways involving COL4A1/COL4A2 were of particular interest in understanding the role of type IV collagen in CAD pathogenesis. We identified several extracellular matrix genes showing interaction with COL4A1/COL4A2 including fibronectin (FN1), COL18A1 as well as transmembrane proteins including ITGA2, encoding integrin α2 and SERPINF1, a member of the serpin peptidase family that strongly inhibits angiogenesis. Other interesting loci include NOTCH4, genes involved in angiogenesis, and mediators of TGFβ signalling. Functional studies are currently being conducted to decipher the roles of COL4A1/COL4A2 and these interacting extracellular matrix genes in CAD.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.030
GPT teacher head0.307
Teacher spread0.277 · 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 routes2
Has abstractyes

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