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Record W3037445289 · doi:10.17863/cam.15888

An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans.

2017· article· en· W3037445289 on OpenAlexfundno aff
Robert A. Scott, Laura J. Scott, Letizia Marullo, Kyle J. Gaulton, Marika Kaakinen, Natalia Pervjakova, Tune H. Pers, Andrew D. Johnson, John D. Eicher, Anne Jackson, Teresa Ferreira, Yeji Lee, Clement Ma, Valgerður Steinthórsdóttir, Guðmar Þorleifsson, Lu Qi, Natalie R. van Zuydam, Anubha Mahajan, Han Chen, Peter Almgren, Benjamin F. Voight, Harald Grallert, Martina Müller‐Nurasyid, Janina S. Ried, Nigel W. Rayner, Neil Robertson, Lennart C. Karssen, Sara M. Willems, Christian Fuchsberger, Phoenix Kwan, Tanya M. Teslovich, Pritam Chanda, Man Li, Yingchang Lu, Christian Dina, Dorothée Thuillier, Loic Yengo, Longda Jiang, Thomas Sparsø, Hans A. Kestler, Himanshu Chheda, Lewin Eisele, Stefan Gustafsson, Mattias Frånberg, Rona J. Strawbridge, Rafn Benediktsson, Ástráður B. Hreiðarsson, Augustine Kong, Gunnar Sigurðsson, Nicola D. Kerrison, Jian’an Luan, Liming Liang, Thomas Meitinger, Michael Roden, Barbara Thorand, Tõnu Esko, Evelin Mihailov, Caroline S. Fox, Ching‐Ti Liu, Denis Rybin, Bo Isomaa, Valeriya Lyssenko, David Couper, James S. Pankow, Niels Grarup, Marit E. Jørgensen, Torben Jørgensen, Allan Linneberg, Marilyn C. Cornelis, Rob M. van Dam, Sarah Hunt, Peter Kraft, Qi Sun, Sarah Edkins, Katharine R. Owen, John R. B. Perry, Andrew R. Wood, Eleftheria Zeggini, Juan Tajes-Fernandes, Gonçalo R. Abecasis, Lori L. Bonnycastle, Peter S. Chines, Heather M. Stringham, Heikki A. Koistinen, Leena Kinnunen, Bengt Sennblad, Thomas W. Muehleisen, Markus M. Nöethen, Sonali Pechlivanis, Damiano Baldassarre, Karl Gertow, Steve E. Humphries, Elena Tremoli, Norman Klopp, Julia Meyer, Gerald Steinbach, Roman Wennauer, Johan G. Eriksson, Leena Peltonen, Emmi Tikkanen, G. Charpentier, Elodie Eury, Stéphane Lobbens, Bruna Gigante, Karin Leander, Olga McLeod, Erwin P. Böttinger, Omri Gottesman, Douglas M. Ruderfer, Péter Kovács, Anke Tönjes, Nisa M. Maruthur, Chiara Scapoli, Raimund Erbel, Susanne Moebus, Ulf dé Fairé, Anders Hamsten, Michael Stümvoll, Peter Donnelly, Timothy M. Frayling, Andrew T. Hattersley, Samuli Ripatti, Veikko Salomaa, Nancy L. Pedersen, Bernhard O. Boehm, Richard N. Bergman, Francis S. Collins, Karen L. Mohlke, Jaakko Tuomilehto, Torben Hansen, Oluf Pedersen, Inês Barroso, Lars Lannfelt, Erik Ingelsson, Lars Lind, Cecilia M. Lindgren, Stéphane Cauchi, Philippe Froguel, Ruth J. F. Loos, Beverley Balkau, Heiner Boeing, Paul W. Franks, Aurelio Barricarte Gurrea, Domenico Palli, Yvonne T. van der Schouw, David Altshuler, Leif Groop, Claudia Langenberg, Nicholas J. Wareham, Eric J.G. Sijbrands, Cornelia M. van Duijn, José C. Florez, James B. Meigs, Eric Boerwinkle, Christian Gieger, Konstantin Strauch, Andres Metspalu, Andrew D. Morris, Frank B. Hu, Unnur Þorsteinsdóttir, Josée Dupuis, Andrew P. Morris, Michael Boehnke, Mark I. McCarthy, Inga Prokopenko

Bibliographic record

VenueCarolina Digital Repository (University of North Carolina at Chapel Hill) · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBioinformatics and Genomic Networks
Canadian institutionsnot available
FundersNational Institutes of HealthH. Lundbeck A/SNovo Nordisk Foundation Center for Basic Metabolic ResearchUniversität UlmDiabetesliittoRheinische Friedrich-Wilhelms-Universität BonnSvenska KulturfondenCopenhagen Graduate School for Nanoscience and NanotechnologySydäntutkimussäätiöMedizinischen Hochschule HannoverBroad InstituteNIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer ResearchFondation de FranceHorizon 2020 Framework ProgrammeVetenskapsrådetGlaxoSmithKlineSigne ja Ane Gyllenbergin SäätiöGenome CanadaNovo NordiskAlfred Benzon FoundationKuopion Yliopistollinen SairaalaKarolinska InstitutetSamfundet FolkhälsanPäivikki ja Sakari Sohlbergin SäätiöEuropean Regional Development FundTerveyden ja hyvinvoinnin laitosAcademy of FinlandEesti TeadusagentuurKelaUniversity of ExeterDeutsche ForschungsgemeinschaftMinerva FoundationInstitut National de la Santé et de la Recherche MédicaleEuropean Foundation for the Study of DiabetesUniversity of OxfordQueen Mary University of LondonFolkhälsanin TutkimussäätiöNational Institute for Health and Care ResearchCentre of Excellence for Environmental Decisions, Australian Research CouncilLee Kong Chian School of Medicine, Nanyang Technological UniversityJohns Hopkins UniversityNational Heart, Lung, and Blood InstituteNanyang Technological UniversityUniversità degli Studi di FerraraAmerican Heart AssociationLundbeckfondenUniversity College LondonWellcome TrustPfizerMedical Research CouncilIncyteFoundation for Cardiovascular ResearchErasmus Universitair Medisch Centrum RotterdamEuropean CommissionHelsingin YliopistoSchool of Medicine, Boston UniversityMassachusetts Institute of TechnologyBritish Heart FoundationBrigham and Women's HospitalAmgenNational Institute of Diabetes and Digestive and Kidney DiseasesHelsingin ja Uudenmaan SairaanhoitopiiriImperial College LondonDanmarks Frie ForskningsfondAndrea and Charles Bronfman Philanthropies
KeywordsType 2 diabetesGenome-wide association studyGeneticsBiologyEvolutionary biologyDiabetes mellitusGeneSingle-nucleotide polymorphismGenotype

Abstract

fetched live from OpenAlex

To characterize type 2 diabetes (T2D)-associated variation across the allele frequency spectrum, we conducted a meta-analysis of genome-wide association data from 26,676 T2D case and 132,532 control subjects of European ancestry after imputation using the 1000 Genomes multiethnic reference panel. Promising association signals were followed up in additional data sets (of 14,545 or 7,397 T2D case and 38,994 or 71,604 control subjects). We identified 13 novel T2D-associated loci (P < 5 × 10(-8)), including variants near the GLP2R, GIP, and HLA-DQA1 genes. Our analysis brought the total number of independent T2D associations to 128 distinct signals at 113 loci. Despite substantially increased sample size and more complete coverage of low-frequency variation, all novel associations were driven by common single nucleotide variants. Credible sets of potentially causal variants were generally larger than those based on imputation with earlier reference panels, consistent with resolution of causal signals to common risk haplotypes. Stratification of T2D-associated loci based on T2D-related quantitative trait associations revealed tissue-specific enrichment of regulatory annotations in pancreatic islet enhancers for loci influencing insulin secretion and in adipocytes, monocytes, and hepatocytes for insulin action-associated loci. These findings highlight the predominant role played by common variants of modest effect and the diversity of biological mechanisms influencing T2D pathophysiology.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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)0.000
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 score0.002
Threshold uncertainty score0.806

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.189
Teacher spread0.182 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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