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Large-Scale Gene-Centric Meta-Analysis across 39 Studies Identifies Type 2 Diabetes Loci
Richa Saxena, Clara C. Elbers, Yiran Guo, Inga Peter, Tom R. Gaunt, Jessica L. Mega, Matthew B. Lanktree, Archana Tare, Berta Almoguera Castillo, Leslie A. Lange, Toby Johnson, Marcel Bruinenberg, Diane Gilbert‐Diamond, Ramakrishnan Rajagopalan, Benjamin F. Voight, Ashok Balasubramanyam, John Barnard, Florianne Bauer, Jens Baumert, Tushar Bhangale, Bernhard Böhm, Peter S. Braund, Paul R. Burton, Hareesh Chandrupatla, Robert Clarke, Rhonda M. Cooper‐DeHoff, Errol D. Crook, Ian N.M. Day, Anthonius de Boer, Mark de Groot, Fotios Drenos, Jane F. Ferguson, Caroline S. Fox, Clement E. Furlong, Quince Gibson, Christian Gieger, L. A. Gilhuijs-Pederson, Joseph Glessner, Anuj Goel, Yan Gong, Struan F.A. Grant, Diederick E. Grobbee, Claire E. Hastie, Steve E. Humphries, Cecilia E. Kim, Mika Kivimäki, Marcus E. Kleber, Christa Meisinger, Meena Kumari, Taimour Langaee, Debbie A. Lawlor, Mingyao Li, Maximilian T. Lobmeyer, Anke H. Maitland‐van der Zee, Matthijs F.L. Meijs, Cliona Molony, David A. Morrow, Gurunathan Murugesan, Solomon K. Musani, Christopher P. Nelson, Stephen Newhouse, Jeffery R. O’Connell, Sandosh Padmanabhan, Jutta Palmen, Carl J. Pepine, Mary Pettinger, Thomas S. Price, Suzanne Rafelt, Jane Ranchalis, Asif Rasheed, Elisabeth A. Rosenthal, Ingo Ruczinski, Sonia Shah, Haiqing Shen, Günther Silbernagel, Erin N. Smith, Annemieke W.M. Spijkerman, Alice Stanton, Michael W. Steffes, Barbara Thorand, Mieke D. Trip, Pim van der Harst, Daphne L. van der A, Erik P.A. van Iperen, Jessica van Setten, Jana V. van Vliet‐Ostaptchouk, Niek Verweij, Bruce H. R. Wolffenbuttel, Taylor Young, Mohammad Hadi Zafarmand, Joseph M. Zmuda, Michael Boehnke, David Altshuler, Mark I. McCarthy, W.H. Linda Kao, James S. Pankow, Thomas P. Cappola, Peter Sever, Neil R Poulter, Mark J. Caulfield, Anna F. Dominiczak, Denis C. Shields, Deepak L. Bhatt, Li Zhang, Sean Curtis, John Danesh, Juan P. Casas, Yvonne T. van der Schouw, N. Charlotte Onland‐Moret, Pieter A. Doevendans, Gerald W. Dorn, Martin Farrall, Garret A. FitzGerald, Anders Hamsten, Robert A. Hegele, Aroon D. Hingorani, Marten H. Hofker, Gordon S. Huggins, Thomas Illig, Gail P. Jarvik, Julie A. Johnson, Olaf H. Klungel, William C. Knowler, Wolfgang Köenig, Winfried März, James B. Meigs, Olle Melander, Patricia B. Munroe, Braxton D. Mitchell, Daniel J. Rader, Muredach P. Reilly, Stephen S. Rich, Jerome I. Rotter, Danish Saleheen, Nilesh J. Samani, Eric E. Schadt, Alan R. Shuldiner, Roy L. Silverstein, Kandice Kottke‐Marchant, Philippa J. Talmud, Hugh Watkins, Folkert W. Asselbergs, Paul I. W. de Bakker, Jeanne M. McCaffery, Cisca Wijmenga, Marc S. Sabatine, James G. Wilson, Alex P. Reiner, Donald W. Bowden, Håkon Håkonarson, David S. Siscovick, Brendan J. Keating
Bibliographic record
VenueThe American Journal of Human Genetics · 2012
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Associations and Epidemiology
Canadian institutionsWestern University
FundersNational Institute for Health and Care ResearchNational Institute of General Medical SciencesNovartis Institutes for BioMedical ResearchNational Institute of Diabetes and Digestive and Kidney DiseasesNational Heart, Lung, and Blood InstituteNational Institutes of HealthBroad InstituteBritish Heart FoundationNational Center for Advancing Translational SciencesWellcome TrustHarvard UniversityMassachusetts Institute of Technology
KeywordsGenome-wide association studyGeneticsBiologySingle-nucleotide polymorphismType 2 diabetesGenetic associationMeta-analysisTCF7L2GenotypingPopulationSNPGeneMedicineGenotypeDiabetes mellitusInternal medicineEndocrinology
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)0.002
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 score0.573
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 head0.104
GPT teacher head0.401
Teacher spread0.297 · 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
Citations269
Published2012
Admission routes1
Has abstractno