← Back to cohort
Lack of Association Between the Trp719Arg Polymorphism in Kinesin-Like Protein-6 and Coronary Artery Disease in 19 Case-Control Studies
Themistocles L. Assimes, Hilma Hólm, Sekar Kathiresan, Muredach P. Reilly, Guðmar Þorleifsson, Benjamin F. Voight, Jeanette Erdmann, Christina Willenborg, Dhananjay Vaidya, Changchun Xie, C. C. Patterson, Thomas M. Morgan, Mary Susan Burnett, Mingyao Li, Mark A. Hlatky, Joshua W. Knowles, John R. Thompson, Devin Absher, Carlos Iribarren, Alan S. Go, Stephen P. Fortmann, Stephen Sidney, Neil Risch, Hua Tang, Richard M. Myers, Monika Stoll, Svati H. Shah, Guðmundur Þorgeirsson, Karl Andersen, Aki S. Havulinna, J. Enrique Herrera, Nauder Faraday, Yoonhee Kim, Brian G. Kral, Rasika A. Mathias, Ingo Ruczinski, Bhoom Suktitipat, Alexander F. Wilson, Lisa R. Yanek, Lewis C. Becker, Patrick Linsel‐Nitschke, Wolfgang Lieb, Inke R. König, Christian Hengstenberg, Marcus Fischer, Klaus Stark, Wibke Reinhard, Janina Winogradow, Martina Grassl, Anika Großhennig, Michael Preuß, Stefan Schreiber, H-Erich Wichmann, Christa Meisinger, Jean Yee, Yechiel Friedlander, Ron Do, James B. Meigs, Gordon H. Williams, David M. Nathan, Calum A. MacRae, Liming Qu, Robert L. Wilensky, William Matthai, Atif Qasim, Håkon Håkonarson, Augusto D. Pichard, Kenneth M. Kent, Lowell F. Satler, Joseph Lindsay, Ron Waksman, Christopher W. Knouff, Dawn Waterworth, Max Walker, Vincent Mooser, Jaume Marrugat, Gavin Lucas, Isaac Subirana, Joan Sala, Nicola Martinelli, Oliviero Olivieri, Elisabetta Trabetti, Giovanni Malerba, Pier Franco Pignatti, Candace Guiducci, Daniel B. Mirel, Melissa Parkin, Joel N. Hirschhorn, Rosanna Asselta, Stefano Duga, Mark J. Daly, Shaun Purcell, Sandra Eifert, Peter S. Braund, Benjamin J. Wright, Anthony J. Balmforth, Stephen G. Ball, Willem H. Ouwehand, Panos Deloukas, Michael Scholz, François Cambien, Andreas Huge, Thomas Scheffold, Veikko Salomaa, Domenico Girelli, Christopher B. Granger, Leena Peltonen, Pascal McKeown, David Altshuler, Olle Melander, Joseph M. Devaney, Stephen E. Epstein, Daniel J. Rader, Roberto Elosúa, James C. Engert, Sonia S. Anand, Alistair S. Hall, Andreas Ziegler, Christopher J. O’Donnell, John A. Spertus, David S. Siscovick, Stephen M. Schwartz, Diane M. Becker, Unnur Þorsteinsdóttir, Kāri Stefánsson, Heribert Schunkert, Nilesh J. Samani, Thomas Quertermous
Bibliographic record
VenueJournal of the American College of Cardiology · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrotubule and mitosis dynamics
Canadian institutionsMcGill UniversityHamilton Health SciencesMcMaster UniversityPopulation Health Research Institute
FundersNational Heart, Lung, and Blood InstituteBERLIN-CHEMIEEconomic and Social Research CouncilGlaxoSmithKline
KeywordsCoronary artery diseaseMedicineInternal medicineAlleleSingle-nucleotide polymorphismDiseasePolymorphism (computer science)Case-control studyConfidence intervalOncologyGenotypeGeneticsBiologyGene
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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)0.000
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 score0.218
Threshold uncertainty score0.260
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 head0.259
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine 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
Citations87
Published2010
Admission routes1
Has abstractno