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Erratum: Large meta-analysis of genome-wide association studies identifies five loci for lean body mass
Leslie J. Baier, Wen‐Chi Hsueh, Eric Orwoll, Serkalem Demissie, Liisa Byberg, Arjun Verma, Kay‐Tee Khaw, Jeffrey R. O’Connell, Michael N. Weedon, Tamara B. Harris, André G. Uitterlinden, Youfang Liu, David A. Bennett, Robert L. Hanson, Shad B. Smith, Ryan Welch, Ozren Polašek, Lars Lind, Eric E. Schadt, Nicole Soranzo, Braxton D. Mitchell, Patricia A. Thompson, Mark A. Tarnopolsky, Albert Hofman, Joshua R. Lewis, Caroline Hayward, H.-Erich Wichman, Thomas Lang, Weihua Zhang, Jean Wactawski‐Wende, Ingrid B. Borecki, Markku Laakso, Lenore J. Launer, Melissa García, Bok‐Ghee Han, Mao Fu, Alena Stančáková, Elisabeth Widén, William Maixner, Nicole C. Wright, Michael J. Econs, Samuli Ripatti, Angela Döring, Steven R. Cummings, Henna Cederberg, R.A.M. Dhonukshe-Rutten, James F. Wilson, Cynthia A. Thomson, Jing Zhao, Natasja M. van Schoor, Monica J. Hubal, Munro Peacock, Tuomas O. Kilpelaïnen, Melina Claussnitzer, Michael Boehnke, Christian Gieger, Hyung Jin Choi, Kāri Stefánsson, Jaakko Tuomilehto, Jian’an Luan, Ali A. Aghdassi, Östen Ljunggren, Elisabeth Steinhagen–Thiessen, Joel Eriksson, Annette Peters, Lisette Stolk, Stuart H. Ralston, Vicky Ossowski, Guðný Eiríksdóttir, Jane A. Cauley, Inês Barroso, Gregory Livshits, Frances M. K. Williams, Yanhua Zhou, Mark Walker, Laura M. Yerges-Armstrong, Gunnar Sigurðsson, Georg Homuth, Jong‐Young Lee, Albert V. Smith, Unnur Þorsteinsdóttir, Philip L. De Jager, Thomas Meitinger, Bruce M. Psaty, Ida Malkin, Wen‐Chi Chou, Liesbeth Vandenput, Janina S. Ried, Norman Klopp, Heikki A. Koistinen, Daniel L. Koller, Magnus Karlsson, Mike Erdos, Dawn Waterworth, Fernando Rivadeneira, Johanna Kuusisto, Karl Michaëlsson, Harald Grallert, Chan Soo Shin, Igor Rudan, Elizabeth A. Streeten, William E. Kraus, Douglas P. Kiel, Natalia Campos Obanda, Emmi Tikkanen, Guðmar Þorleifsson, Antti Jula, Lei Yu, Katri Räikkönen, Najaf Amin, Laura J. Scott, Jian Shen, Håkan Melhus, Lise B. Husted, Aarno Palotie, Tian Liu, Gregory J. Tranah, Mary F. Feitosa, Dan Mellström, Claes Ohlsson, Cornelia M. van Duijn, Simon Melov, Karin M. A. Swart, Ilja Demuth, Henry Völzke, Veikko Salomaa, Jari Lahti, Ruth J. F. Loos, Jaspal S. Kooner, Kristina Åkesson, Teemu Kuulasmaa, Rainer Biffar, Thomas Illig, Fiona E. McGuigan, Daniel S. Evans, John‐Olov Jansson, Ben A. Oostra, Markus Perola, Timothy D. Spector, Eric P. Hoffman, Harry Campbell, Péter Vollenweider, Nam H. Cho, Toby Johnson, Leif Mosekilde, Aron S. Buchman, Luda Diatchenko, Carolina Medina‐Gómez, Carrie M. Nielson, Joanne M. Jordan, John A. Robbins, Anke W. Enneman, Linda Broer, Zoltán Kutalik, Murielle Bochud, Francis S. Collins, Thomas Girke, Jacqueline S. L. Kloth, Yi‐Hsiang Hsu, Zhao Chen, Mattias Lorentzon, Weijia Xie, Suzanne Satterfield, Erik Ingelsson, Jagvir Grewal, Unnur Styrkársdóttir, Andrew P. Morris, Nicole L. Glazer, Richard Prince, Jerome I. Rotter, Lars Bertram, Markus M. Lerch, Kim M. Huffman, Cecilia M. Lindgren, John C. Chambers, Ching‐Ti Liu, Karol Estrada, Sabine Schipf, Vilmundur Guðnason, Anne B. Newman, Robert Luben, M. Carola Zillikens, Johan G. Eriksson, Nicholas J. Wareham, David Karasik, Peggy M. Cawthon, Bente Langdahl, Till Ittermann, Alan Hubbard, Stephen B. Kritchevsky, Joban Sehmi
Bibliographic record
VenueUNC Libraries · 2020
Typeerratum
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNutrition, Genetics, and Disease
Canadian institutionsnot available
FundersNational Center for Advancing Translational SciencesU.S. National Library of MedicineNational Institute of Neurological Disorders and StrokeNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institute on AgingMünchner Zentrum für GesundheitswissenschaftenWageningen University and ResearchKorea Centers for Disease Control and PreventionNational Health and Medical Research CouncilCanadian Institutes of Health ResearchNational Center for Research ResourcesCenters for Disease Control and PreventionNational Institutes of HealthArmy Research OfficeUniversität GreifswaldHjartaverndChinese Society of Clinical OncologyMedical Research CouncilUppsala UniversitetNational Institute of Arthritis and Musculoskeletal and Skin DiseasesGreta och Johan Kocks stiftelserGöteborgs LäkaresällskapSydäntutkimussäätiöKidney Research UKDanmarks Frie ForskningsfondVetenskapsrådetU.S. Department of Health and Human ServicesGlaxoSmithKlineSigne ja Ane Gyllenbergin SäätiöCentre for Medical Systems BiologyGenome CanadaNovo NordiskFP7 People: Marie-Curie ActionsAmerican Diabetes AssociationVrije Universiteit AmsterdamKaren Elise Jensens FondSvenska LäkaresällskapetDeutsche ForschungsgemeinschaftNederlandse Organisatie voor Wetenschappelijk OnderzoekBritish Heart FoundationBundesministerium für Bildung und ForschungAkademiska SjukhusetJohns Hopkins UniversityUniversität zu LübeckKing's College LondonAcademy of FinlandMinisterie van Economische Zaken, Landbouw en InnovatieDiabetestutkimussäätiöZonMwSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNederlandse Zuivel OrganisatieErasmus Medisch CentrumMax-Planck-Institut für BildungsforschungStiftelsen för Strategisk ForskningHealthwayMalmö HögskolaEuropean Science FoundationNational Institute for Health and Care ResearchWellcome TrustFoundation for Cardiovascular ResearchNational Heart, Lung, and Blood InstituteItä-Suomen YliopistoFinska LäkaresällskapetYrjö Jahnssonin SäätiöScottish GovernmentAstraZenecaEuropean CommissionHelsingin YliopistoSchool of Medicine, Boston UniversityKuopion Yliopistollinen SairaalaWake Forest UniversityCedars-Sinai Medical CenterMinistry of Cultural AffairsEmil Aaltosen SäätiöRoyal SocietyNational Science FoundationJuho Vainion SäätiöAmerican Heart Association
KeywordsGenome-wide association studyMeta-analysisBiologyComputational biologyAssociation (psychology)Lean body massGenetic associationGeneticsPsychologyMedicineGeneGenotypeInternal medicineBody weightSingle-nucleotide polymorphismEndocrinology
Abstract
A correction to this article has been published and is linked from the HTML version of this article.
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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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.870
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 head0.035
GPT teacher head0.279
Teacher spread0.244 · 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 designNot applicable
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".
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Citations0
Published2020
Admission routes1
Has abstractyes