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Tissue-Specific Alteration of Metabolic Pathways Influences Glycemic Regulation
Natasha Hui Jin Ng, Sara M. Willems, Juan Fernandez, Rebecca S. Fine, Eleanor Wheeler, Jennifer Wessel, Hidetoshi Kitajima, Gaëlle Marenne, Jana K. Rundle, Xueling Sim, Hanieh Yeghootkar, Nicola L. Beer, Anne Raimondo, Andrei I. Tarasov, Soren K. Thomsen, Martijn van de Bunt, Shuai Wang, Sai Chen, Yuning Chen, Yii‐Der Ida Chen, Hugoline G. de Haan, Niels Grarup, Ruifang Li‐Gao, Tibor V. Varga, Jennifer L. Asimit, Shuang Feng, Rona J. Strawbridge, Erica L. Kleinbrink, Tarunveer S. Ahluwalia, Ping An, Emil V. R. Appel, Dan E. Arking, Juha Auvinen, Lawrence F. Bielak, Nathan A. Bihlmeyer, Jette Bork‐Jensen, Jennifer A. Brody, A.M. Campbell, Audrey Y. Chu, Gail Davies, Ayşe Demirkan, James S. Floyd, Franco Giulianini, Xiuqing Guo, Stefan Gustafsson, Benoît Hastoy, Anne Jackson, Jóhanna Jakobsdóttir, Marjo‐Riitta Järvelin, Richard A. Jensen, Stavroula Kanoni, Sirkka Keinänen‐Kiukaanniemi, Jin Li, Man Li, Kurt Lohman, Yingchang Lu, Jian’an Luan, Alisa K. Manning, Jonathan Marten, Carola Marzi, Karina Meidtner, Dennis O. Mook‐Kanamori, Taulant Muka, Giorgio Pistis, Bram P. Prins, Kenneth Rice, Neil Robertson, Serena Sanna, Yuan Shi, Albert V. Smith, Jennifer A. Smith, Lorraine Southam, Heather M. Stringham, Salman M. Tajuddin, Vinicius Tragante, Sander W. van der Laan, Helen R. Warren, Jie Yao, Andrianos M. Yiorkas, Weihua Zhang, Wei Zhao, Emma Ahlqvist, Mariaelisa Graff, Heather M. Highland, Anne E. Justice, Ken Sin Lo, Eirini Marouli, Carolina Medina‐Gómez, Saima Afaq, Wesam A. Alhejily, Najaf Amin, Folkert W. Asselbergs, Lori L. Bonnycastle, Michiel L. Bots, Ivan Brandslund, Chen Ji, Cramer Christensen, John Danesh, Renée de Mutsert, Abbas Dehghan, Tapani Ebeling, Paul Elliott, Aliki‐Eleni Farmaki, Jessica D. Faul, Paul W. Franks, Steve Franks, Andreas Fritsche, Anette P. Gjesing, Mark O. Goodarzi, Vilmundur Guðnason, Göran Hallmans, Tamara B. Harris, Karl‐Heinz Herzig, Marie‐France Hivert, Jan‐Håkan Jansson, Min A. Jhun, Torben Beck Jørgensen, Marit E. Jørgensen, Pekka Jousilahti, Eero Kajantie, Maria Karaleftheri, Sharon L. R. Kardia, Leena Kinnunen, Heikki A. Koistinena, Pirjo Komulainen, Péter Kovács, Johanna Kuusisto, Markku Laakso, Leslie A. Lange, Lenore J. Launer, Jung‐Jin Lee, Aaron Leong, Jaana Lindström, Jocelyn E. Manning Fox, Satu Männistö, Nisa M. Maruthur, Leena Moilanen, Antonella Mulas, Mike A. Nalls, Matthew Neville, James S. Pankow, Alison Pattie, Annette Peters, Hannu Puolijoki, Asif Rasheed, Paul Redmond, Frida Renström, Michael Roden, Danish Saleheen, Juha Saltevo, Kai Savonen, Sylvain Sebért, Tea Skaaby, Kerrin S. Small, Alena Stančáková, Jakob Stokholm, Konstantin Strauch, E Shyong Tai, Kent D. Taylor, Betina H. Thuesen, Anke Tönjes, Emmanouil Tsafantakis, Jaakko Tuomilehto, Understanding Society Scientific Group, Matti Uusitupa, Marja Vääräsmäki, Ilonca Vaartjes, Magdalena Żołędziewska, Gonçalo R. Abecasis, Beverley Balkau, Hans Bisgaard, Alexandra I. F. Blakemore, Matthias Blüher, Heiner Boeing, Eric Boerwinkle, Klaus Bønnelykke, Erwin P. Böttinger, Mark J. Caulfield, John C. Chambers, Daniel I. Chasman, Ching‐Yu Cheng, Anne Clark, Francis S. Collins, Josef Coresh, Francesco Cucca, Gert J. de Borst, Ian J. Deary, George Dedoussis, Panos Deloukas, Hester M. den Ruijter, Josée Dupuis, Michele K. Evans, Ele Ferrannini, Oscar H. Franco, Harald Grallert, Torben Hansen, Andrew T. Hattersley, Caroline Hayward, Joel N. Hirschhorn, M. Arfan Ikram, Erik Ingelsson, Fredrik Karpe, Kay-Tee Kaw, Wieland Kieß, Jaspal S. Kooner, Antje Körner, Timo A. Lakka, Claudia Langenberg, Lars Lind, Cecilia M. Lindgren, Allan Linneberg, Leonard Lipovich, Ching‐Ti Liu, Jun Liu, Ruth J. F. Loos, Patrick E. MacDonald, Karen L. Mohlke, Andrew D. Morris, Patricia B. Munroe, Alison D. Murray, Sandosh Padmanabhan, Gerard Pasterkamp, Oluf Pedersen, Patricia A. Peyser, Ozren Polašek, David J. Porteous, Michael A. Province, Bruce M. Psaty, Rainer Rauramaa, Paul M. Ridker, Olov Rolandsson, Patrik Rorsman, Frits R. Rosendaal, Igor Rudan, Veikko Salomaa, Matthias B. Schulze, Robert Sladek, Blair H. Smith, Timothy D. Spector, John M. Starr, Michael Stümvoll, Cornelia M. van Duijn, Mark Walker, David R. Weir, James G. Wilson, Tien Yin Wong, Eleftheria Zeggini, Alan B. Zonderman, Jerome I. Rotter, Andrew P. Morris, Michael Boehnke, José C. Florez, Mark I. McCarthy, James B. Meigs, Anubha Mahajan, Robert A. Scott, Anna L. Gloyn, Inês Barroso
Bibliographic record
VenueSSRN Electronic Journal · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Associations and Epidemiology
Canadian institutionsMcGill UniversityInstitute of Population and Public HealthUniversity of AlbertaUniversité de Montréal
Fundersnot available
KeywordsBiologyType 2 diabetesGenome-wide association studyGlucose homeostasisExome sequencingIsletEndocrinologyGeneticsDiabetes mellitusInternal medicineGeneInsulin resistanceMedicineMutationSingle-nucleotide polymorphismGenotype
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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 head0.009
GPT teacher head0.241
Teacher spread0.233 · 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
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
Citations1
Published2019
Admission routes1
Has abstractno