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A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance
Marie‐France Hivert, Robert A. Scott, Jonna Grimsby, Nabila Bouatia‐Naji, Han Chen, Denis Rybin, Ching‐Ti Liu, Lawrence F. Bielak, Inga Prokopenko, Najaf Amin, Daniel R. Barnes, Gemma Cadby, Jouke‐Jan Hottenga, Erik Ingelsson, Anne Jackson, Toby Johnson, Stavroula Kanoni, Claes Ladenvall, Vasiliki Lagou, Jari Lahti, Cécile Lecœur, Nicholas G. Martin, May E. Montasser, Pau Navarro, John R. B. Perry, Laura J. Rasmussen‐Torvik, Perttu Salo, Naveed Sattar, Dmitry Shungin, Rona J. Strawbridge, Toshiko Tanaka, Cornelia M. van Duijn, Ping An, Mariza de Andrade, Jeanette S. Andrews, Thor Aspelund, Mustafa Atalay, Yurii S. Aulchenko, Beverley Balkau, Stefania Bandinelli, J. Beckmann, John Beilby, Claire Bellis, Richard N. Bergman, John Blangero, Mladen Boban, Michael Boehnke, Eric Boerwinkle, Lori L. Bonnycastle, Dorret I. Boomsma, Ingrid B. Borecki, Yvonne Böttcher, Claude Bouchard, Eric J. Brunner, Danijela Budimir Mršić, Harry Campbell, Olga D. Carlson, Peter S. Chines, Robert Clarke, Francis S. Collins, Arturo Corbatón Anchuelo, David Couper, Ulf dé Fairé, George Dedoussis, Panos Deloukas, Maria Dimitriou, Josephine M. Egan, Guðný Eiríksdóttir, Michael R. Erdos, Johan G. Eriksson, Elodie Eury, Luigi Ferrucci, Ian Ford, Nita G. Forouhi, Caroline S. Fox, Maria Grazia Franzosi, Paul W. Franks, Timothy M Frayling, Philippe Froguel, Pilar Galan, Eco J. C. de Geus, Bruna Gigante, Nicole L. Glazer, Anuj Goel, Leif Groop, Vilmundur Guðnason, Göran Hallmans, Anders Hamsten, Ola Hansson, Tamara B. Harris, Caroline Hayward, Simon Heath, Serge Herçberg, Andrew A. Hicks, Aroon D. Hingorani, Albert Hofman, Jennie Hui, Joseph Hung, Marjo‐Riitta Järvelin, Min A. Jhun, P. Johnson, J. Wouter Jukema, Antti Jula, W.H. Linda Kao, Jaakko Kaprio, Sharon L. R. Kardia, Sirkka Keinänen‐Kiukaanniemi, Mika Kivimäki, Ivana Kolčić, Péter Kovács, Meena Kumari, Johanna Kuusisto, Kirsten Ohm Kyvik, Markku Laakso, Timo A. Lakka, Lars Lannfelt, G.M. Lathrop, Lenore J. Launer, Karin Leander, Guo Li, Lars Lind, Jaana Lindström, Stéphane Lobbens, Ruth J. F. Loos, Jian'an Luan, V. Lyssenko, Reedik Mägi, Patrik K. E. Magnusson, Michael Marmot, Pierre Meneton, Karen L. Mohlke, Vincent Mooser, Mario A. Morken, Iva Miljkovic, Narisu Narisu, Jeff O’Connell, Ken K. Ong, Ben A Oostra, Lyle J. Palmer, Aarno Palotie, James S. Pankow, John F. Peden, Nancy L. Pedersen, Marina Pehlić, Leena Peltonen, Brenda W.J.H. Penninx, Marijana Peričić, Markus Perola, Louis Përusse, Patricia A. Peyser, Ozren Polašek, Peter P. Pramstaller, Michael A. Province, Katri Räikkönen, Rainer Rauramaa, Emil Rehnberg, Kenneth Rice, Jerome I. Rotter, Igor Rudan, A Ruokonen, Timo Saaristo, Maria Sabater‐Lleal, Veikko Salomaa, David B. Savage, Richa Saxena, Peter Schwarz, Udo Seedorf, Bengt Sennblad, Manuel Serrano‐Ríos, Alan R. Shuldiner, Eric J.G. Sijbrands, David S. Siscovick, Johannes H. Smit, Kerrin S. Small, Nicholas L. Smith, Albert V. Smith, Alena Stančáková, Kathleen Stirrups, Michael Stümvoll, Yan V. Sun, Amy J. Swift, Anke Tönjes, J. Tuomilehto, Stella Trompet, André G. Uitterlinden, Matti Uusitupa, Max Vikström, Véronique Vitart, Marie‐Claude Vohl, Benjamin F. Voight, Péter Vollenweider, Gérard Waeber, Dawn Waterworth, Hugh Watkins, Eleanor Wheeler, Elisabeth Widén, Sara M. Willems, Gonneke Willemsen, James F. Wilson, Jacqueline C.M. Witteman, Alan F. Wright, Hanieh Yaghootkar, Diana Zélénika, Tatijana Zemunik, Lina Zgaga, Nicholas J. Wareham, Mark I. McCarthy, Inês Barroso, Richard M. Watanabe, José C. Florez, Josée Dupuis, James B. Meigs, Claudia Langenberg
Bibliographic record
VenueNature Genetics · 2012
Typereview
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsUniversité LavalOntario Institute for Cancer ResearchLunenfeld-Tanenbaum Research InstituteUniversité de Sherbrooke
FundersNational Center for Advancing Translational SciencesNational Institute of Diabetes and Digestive and Kidney DiseasesNational Heart, Lung, and Blood InstituteNational Center for Research ResourcesNational Institute of Mental HealthMedical Research CouncilNovo Nordisk FondenBritish Heart FoundationWellcome Trust
KeywordsBiologyInsulin resistanceBody mass indexGlycemicGeneticsGlycemic indexGenome-wide association studyResistance (ecology)GenomeObesityInsulinInternal medicineBioinformaticsEndocrinologyGenotypeGeneSingle-nucleotide polymorphismMedicine
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 machine prediction
Teacher imitationNot 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)0.001
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: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.006
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 head0.025
GPT teacher head0.283
Teacher spread0.258 · 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 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
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
Citations888
Published2012
Admission routes1
Has abstractno