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Platelet-Related Variants Identified by Exomechip Meta-analysis in 157,293 Individuals
John D. Eicher, Nathalie Chami, Tim Kacprowski, Akihiro Nomura, Ming‐Huei Chen, Lisa R. Yanek, Salman M. Tajuddin, Ursula M. Schick, Andrew J. Slater, Nathan Pankratz, Linda M. Polfus, Claudia Schurmann, Ayush Giri, Jennifer A. Brody, Leslie A. Lange, Ani Manichaikul, W. David Hill, Raha Pazoki, Paul Elliot, Εvangelos Εvangelou, Ioanna Tzoulaki, He Gao, Anne‐Claire Vergnaud, Rasika A. Mathias, Diane M. Becker, Lewis C. Becker, Amber Burt, David R. Crosslin, Leo‐Pekka Lyytikäinen, Kjell Nikus, Jussi Hernesniemi, Mika Kähönen, Emma Raitoharju, Nina Mononen, Olli T. Raitakari, Terho Lehtimäki, Mary Cushman, Neil A. Zakai, Deborah A. Nickerson, Laura M. Raffield, Rakale C. Quarells, Cristen J. Willer, Gina M. Peloso, Gonçalo R. Abecasis, Dajiang J. Liu, Panos Deloukas, Nilesh J. Samani, Heribert Schunkert, Jeanette Erdmann, Myriam Fornage, Melissa A. Richard, Jean‐Claude Tardif, John D. Rioux, Marie‐Pierre Dubé, Simon de Denus, Yingchang Lu, Erwin P. Böttinger, Ruth J. F. Loos, Albert V. Smith, Tamara B. Harris, Lenore J. Launer, Vilmundur Guðnason, Digna R. Velez Edwards, Eric S. Torstenson, Ching‐Ti Liu, Russell P. Tracy, Jerome I. Rotter, Stephen S. Rich, Heather M. Highland, Eric Boerwinkle, Jin Li, Ethan M. Lange, James G. Wilson, Evelin Mihailov, Reedik Mägi, Joel N. Hirschhorn, Andres Metspalu, Tõnu Esko, Caterina Vacchi‐Suzzi, Mike A. Nalls, Alan B. Zonderman, Michele K. Evans, Gunnar Engström, Marju Orho‐Melander, Olle Melander, Michelle L. O’Donoghue, Dawn Waterworth, Lars Wallentin, Harvey D. White, James S. Floyd, Traci M. Bartz, Kenneth Rice, Bruce M. Psaty, John M. Starr, David C. Liewald, Caroline Hayward, Ian J. Deary, Andreas Greinacher, Uwe Völker, Thomas Thiele, Henry Völzke, Frank J.A. van Rooij, André G. Uitterlinden, Oscar H. Franco, Abbas Dehghan, Todd L. Edwards, Santhi K. Ganesh, Sekar Kathiresan, Nauder Faraday, Paul L. Auer, Alex P. Reiner, Guillaume Lettre, Andrew D. Johnson
Bibliographic record
VenueThe American Journal of Human Genetics · 2016
Typereview
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsUniversité de MontréalMontreal Heart Institute
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Center for Advancing Translational SciencesNational Human Genome Research InstituteNational Institutes of HealthBritish Heart FoundationNational Institute of Diabetes and Digestive and Kidney DiseasesNational Heart, Lung, and Blood InstituteMedical Research CouncilNational Institute for Health and Care Research
KeywordsPlateletMean platelet volumeBiologyPlatelet disorderGenome-wide association studyLocus (genetics)HemostasisPlatelet activationAlleleImmunologyGeneticsInternal medicineSingle-nucleotide polymorphismMedicineGenotypeGene
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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.557
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.008 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 head0.077
GPT teacher head0.368
Teacher spread0.292 · 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.
Study designMeta-analysis
Domainnot available
GenreReview
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
Citations99
Published2016
Admission routes1
Has abstractno