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Record W2601522016 · doi:10.2337/db16-1329

A Low-Frequency Inactivating <i>AKT2</i> Variant Enriched in the Finnish Population Is Associated With Fasting Insulin Levels and Type 2 Diabetes Risk

2017· article· en· W2601522016 on OpenAlexafffund
Alisa K. Manning, Heather M. Highland, Jessica A. Gasser, Xueling Sim, Taru Tukiainen, Pierre Fontanillas, Niels Grarup, Manuel A. Rivas, Anubha Mahajan, Adam E. Locke, Pablo Cingolani, Tune H. Pers, Ana Viñuela, Andrew Brown, Ying Wu, Jason Flannick, Christian Fuchsberger, Eric R. Gamazon, Kyle J. Gaulton, Hae Kyung Im, Tanya M. Teslovich, Thomas W. Blackwell, Jette Bork‐Jensen, Noël P. Burtt, Yuhui Chen, Todd J. Green, Christopher Hartl, Hyun Min Kang, Ashish Kumar, Claes Ladenvall, Clement Ma, Loukas Moutsianas, Richard D. Pearson, John R. B. Perry, Nigel W. Rayner, Neil R. Robertson, Laura J. Scott, Martijn van de Bunt, Johan G. Eriksson, Antti Jula, Seppo Koskinen, Terho Lehtimäki, Aarno Palotie, Olli T. Raitakari, Suzanne B.R. Jacobs, Jennifer Wessel, Audrey Y. Chu, Robert A. Scott, Mark O. Goodarzi, Christine Blancher, Gemma Buck, David Buck, Peter S. Chines, Stacey Gabriel, Anette P. Gjesing, Christopher J. Groves, Mette Hollensted, Jeroen R. Huyghe, Anne Jackson, Goo Jun, Johanne Marie Justesen, Massimo Mangino, Jacquelyn Murphy, Matt J. Neville, Robert C. Onofrio, Kerrin S. Small, Heather M. Stringham, Joseph Trakalo, Eric Banks, Jason Carey, Mauricio O. Carneiro, Mark A. DePristo, Yossi Farjoun, Timothy R. Fennell, Jacqueline I. Goldstein, George Grant, Martin Hrabě de Angelis, Jared Maguire, Benjamin M. Neale, Ryan Poplin, Shaun Purcell, Thomas Schwarzmayr, Khalid Shakir, Joshua D. Smith, Tim M. Strom, Thomas Wieland, Jaana Lindström, Ivan Brandslund, Cramer Christensen, Gabriela Surdulescu, Timo A. Lakka, Alex S. F. Doney, Peter M. Nilsson, Nicholas J. Wareham, Claudia Langenberg, Tibor V. Varga, Paul W. Franks, Olov Rolandsson, Anders H. Rosengren, Vidya S. Farook, Farook Thameem, Sobha Puppala, Satish Kumar, Donna M. Lehman, Christopher P. Jenkinson, Joanne E. Curran, Daniel E. Hale, Sharon P. Fowler, Rector Arya, Ralph A. DeFronzo, Hanna E. Abboud, Ann‐Christine Syvänen, Maggie C. Y. Ng, Donald W. Bowden, Barry I. Freedman, Tõnu Esko, Reedik Mägi, Lili Milani, Evelin Mihailov, Andres Metspalu, Narisu Narisu, Leena Kinnunen, Lori L. Bonnycastle, Amy J. Swift, Dorota Pasko, Andrew R. Wood, João Fadista, Toni I. Pollin, Nir Barzilai, Gil Atzmon, Benjamin Gläser, Barbara Thorand, Konstantin Strauch, Annette Peters, Michael Roden, Martina Müller‐Nurasyid, Liming Liang, Jennifer Kriebel, Thomas Illig, Harald Grallert, Christian Gieger, Christa Meisinger, Lars Lannfelt, Solomon K. Musani, Michael Griswold, Herman A. Taylor, Gregory Wilson, Adolfo Correa, Heikki Oksa, William R. Scott, Uzma Afzal, Marie Loh, John C. Chambers, Jobanpreet Sehmi, Jaspal S. Kooner, Benjamin Lehne, Yoon Shin Cho, Jong‐Young Lee, Bok‐Ghee Han, Annemari Käräjämäki, Qibin Qi, Lu Qi, Jinyan Huang, Frank B. Hu, Olle Melander, Marju Orho‐Melander, Jennifer E. Below, David Aguilar, Tien Yin Wong, Jianjun Liu, Chiea Chuen Khor, Kee Seng Chia, Wei Yen Lim, Ching‐Yu Cheng, Edmund Chan, E Shyong Tai, Tin Aung, Allan Linneberg, Bo Isomaa, Thomas Meitinger, Liisa Hakaste, Jasmina Kravić, Marit E. Jørgensen, Torsten Lauritzen, Panos Deloukas, Kathleen Stirrups, Katharine R. Owen, Timothy M. Frayling, Stephen O’Rahilly, Mark Walker, J Lévy, Dylan Hodgkiss, Andrew T. Hattersley, Teemu Kuulasmaa, Alena Stančáková, Inês Barroso, Dwaipayan Bharadwaj, Juliana C.N. Chan, Giriraj R. Chandak, Mark J. Daly, Peter Donnelly, Shah B. Ebrahim, Paul Elliott, Tasha E. Fingerlin, Philippe Froguel, Cheng Hu, Weiping Jia, Ronald C.W., Gilean McVean, Taesung Park, Dorairaj Prabhakaran, Manjinder S. Sandhu, James Scott, Robert Sladek, Nikhil Tandon, Yik Ying Teo, Eleftheria Zeggini, Richard M. Watanabe, Heikki A. Koistinen, Y. Antero Kesäniemi, Matti Uusitupa, Timothy D. Spector, Veikko Salomaa, Rainer Rauramaa, Inga Prokopenko, Andrew D. Morris, Richard N. Bergman, Francis S. Collins, Lars Lind, Erik Ingelsson, Jaakko Tuomilehto, Fredrik Karpe, Leif Groop, Torben Jørgensen, Torben Hansen, Oluf Pedersen, Johanna Kuusisto, Gonçalo R. Abecasis, Graeme I. Bell, John Blangero, Nancy J. Cox, Ravindranath Duggirala, Mark Seielstad, James G. Wilson, Josée Dupuis, Samuli Ripatti, Craig L. Hanis, José C. Florez, Karen L. Mohlke, James B. Meigs, Markku Laakso, Andrew P. Morris, Michael Boehnke, David Altshuler, Mark I. McCarthy, Anna L. Gloyn, Cecilia M. Lindgren

Bibliographic record

VenueDiabetes · 2017
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Function and Risk Factors
Canadian institutionsMcGill UniversityMcGill University and Génome Québec Innovation Centre
FundersNational Institute on Drug AbuseNational Heart, Lung, and Blood InstituteMünchner Zentrum für GesundheitswissenschaftenBiomedical Research CouncilNIH Office of the DirectorNational Medical Research CouncilMRC-PHE Centre for Environment and HealthNovo Nordisk FondenNational Institute of General Medical SciencesCenters for Disease Control and PreventionDiabetesliittoSydäntutkimussäätiöEmil Aaltosen SäätiöAugustinus FondenNational Human Genome Research InstituteUniversity of Texas Health Science Center at HoustonDanmarks Frie ForskningsfondMedical Research CouncilTartu ÜlikoolVetenskapsrådetKuopion Yliopistollinen SairaalaJuho Vainion SäätiöNovo NordiskHjärt-LungfondenSuomen KulttuurirahastoNational Institute on AgingHelsefondenBritish Heart FoundationBundesministerium für Bildung und ForschungHelmholtz Zentrum MünchenKelaSamfundet FolkhälsanPäivikki ja Sakari Sohlbergin SäätiöNational Institute of Mental HealthEesti TeadusagentuurSteno Diabetes Center CopenhagenNational Institute for Health Research Health Protection Research UnitEuropean CommissionNational Research FoundationFolkhälsanin TutkimussäätiöNational Institute for Health and Care ResearchSundhed og Sygdom, Det Frie ForskningsrådJohns Hopkins UniversityImperial College LondonNational Institutes of HealthSihtasutus ArchimedesNational University of SingaporeNational Cancer InstituteLundbeckfondenFoundation for Cardiovascular ResearchFinska LäkaresällskapetAtlantic Canada Opportunities AgencyNational Institute of Diabetes and Digestive and Kidney DiseasesHelsingin ja Uudenmaan SairaanhoitopiiriLunds UniversitetKing's College LondonJalmari ja Rauha Ahokkaan SäätiöDiabetestutkimussäätiöKorea Centers for Disease Control and PreventionImperial College Healthcare NHS TrustWellcome TrustSwiss Institute of BioinformaticsHjerteforeningenTekesWellcomeAmerican Diabetes Association
KeywordsType 2 diabetesMedicineInternal medicineDiabetes mellitusEndocrinologyInsulinPopulationEnvironmental health

Abstract

fetched live from OpenAlex

To identify novel coding association signals and facilitate characterization of mechanisms influencing glycemic traits and type 2 diabetes risk, we analyzed 109,215 variants derived from exome array genotyping together with an additional 390,225 variants from exome sequence in up to 39,339 normoglycemic individuals from five ancestry groups. We identified a novel association between the coding variant (p.Pro50Thr) in AKT2 and fasting plasma insulin (FI), a gene in which rare fully penetrant mutations are causal for monogenic glycemic disorders. The low-frequency allele is associated with a 12% increase in FI levels. This variant is present at 1.1% frequency in Finns but virtually absent in individuals from other ancestries. Carriers of the FI-increasing allele had increased 2-h insulin values, decreased insulin sensitivity, and increased risk of type 2 diabetes (odds ratio 1.05). In cellular studies, the AKT2-Thr50 protein exhibited a partial loss of function. We extend the allelic spectrum for coding variants in AKT2 associated with disorders of glucose homeostasis and demonstrate bidirectional effects of variants within the pleckstrin homology domain of AKT2.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.010
Threshold uncertainty score0.450

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
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 science0.0000.000
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 head0.018
GPT teacher head0.240
Teacher spread0.223 · 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".

Quick stats

Citations52
Published2017
Admission routes2
Has abstractyes

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