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Erratum: Large meta-analysis of genome-wide association studies identifies five loci for lean body mass
M. Carola Zillikens, Serkalem Demissie, Yi‐Hsiang Hsu, Laura M. Yerges-Armstrong, Wen‐Chi Chou, Lisette Stolk, Gregory Livshits, Linda Broer, Toby Johnson, Daniel L. Koller, Zoltán Kutalik, Jian’an Luan, Ida Malkin, Janina S. Ried, Albert V. Smith, Guðmar Þorleifsson, Liesbeth Vandenput, Jing Hua Zhao, Weihua Zhang, Ali A. Aghdassi, Kristina Åkesson, Najaf Amin, Leslie J. Baier, Inês Barroso, David A. Bennett, Lars Bertram, Rainer Biffar, Murielle Bochud, Michael Boehnke, Ingrid B. Borecki, Aron S. Buchman, Liisa Byberg, Harry Campbell, Natalia Campos Obanda, Jane A. Cauley, Peggy M. Cawthon, Henna Cederberg, Zhao Chen, Nam H. Cho, Hyung Jin Choi, Melina Claussnitzer, Francis S. Collins, Steven R. Cummings, Philip L. De Jager, Ilja Demuth, R.A.M. Dhonukshe-Rutten, Luda Diatchenko, Guðný Eiríksdóttir, Anke W. Enneman, Mike Erdos, Johan G. Eriksson, Joel Eriksson, Karol Estrada, Daniel S. Evans, Mary F. Feitosa, Mao Fu, Melissa García, Christian Gieger, Thomas Girke, Nicole L. Glazer, Harald Grallert, Jagvir Grewal, Bok‐Ghee Han, Robert L. Hanson, Caroline Hayward, Albert Hofman, Eric P. Hoffman, Georg Homuth, Wen‐Chi Hsueh, Monica J. Hubal, Alan Hubbard, Kim M. Huffman, Lise B. Husted, Thomas Illig, Erik Ingelsson, Till Ittermann, John‐Olov Jansson, Joanne M. Jordan, Antti Jula, Magnus Karlsson, Kay‐Tee Khaw, Tuomas O. Kilpeläinen, Norman Klopp, Jacqueline S. L. Kloth, Heikki A. Koistinen, William E. Kraus, Stephen B. Kritchevsky, Teemu Kuulasmaa, Johanna Kuusisto, Markku Laakso, Jari Lahti, Thomas Lang, Bente Langdahl, Lenore J. Launer, Jong‐Young Lee, Markus M. Lerch, Joshua R. Lewis, Lars Lind, Cecilia M. Lindgren, Ching‐Ti Liu, Tian Liu, Youfang Liu, Östen Ljunggren, Mattias Lorentzon, Robert Luben, William Maixner, Fiona E. McGuigan, Carolina Medina‐Gómez, Thomas Meitinger, Håkan Melhus, Dan Mellström, Simon Melov, Karl Michaëlsson, Braxton D. Mitchell, Andrew P. Morris, Leif Mosekilde, Anne B. Newman, Carrie M. Nielson, Jeffrey R. O’Connell, Ben A. Oostra, Eric Orwoll, Aarno Palotie, Stephen C.J. Parker, Munro Peacock, Markus Perola, Annette Peters, Ozren Polašek, Richard L. Prince, Katri Räikkönen, Stuart H. Ralston, Samuli Ripatti, John A. Robbins, Jerome I. Rotter, Igor Rudan, Veikko Salomaa, Suzanne Satterfield, Eric E. Schadt, Sabine Schipf, Laura J. Scott, Joban Sehmi, Jian Shen, Chan Soo Shin, Gunnar Sigurðsson, Shad Smith, Nicole Soranzo, Alena Stančáková, Elisabeth Steinhagen–Thiessen, Elizabeth A. Streeten, Unnur Styrkársdóttir, Karin M. A. Swart, Mark A. Tarnopolsky, Cynthia A. Thomson, Unnur Þorsteinsdóttir, Emmi Tikkanen, Gregory J. Tranah, Jaakko Tuomilehto, Natasja M. van Schoor, Arjun Verma, Péter Vollenweider, Henry Völzke, Jean Wactawski‐Wende, Mark Walker, Michael N. Weedon, Ryan Welch, H.E. Wichmann, Elisabeth Widén, Frances M. K. Williams, James F. Wilson, Nicole C. Wright, Weijia Xie, Lei Yu, Yanhua Zhou, John C. Chambers, Angela Döring, Cornelia M. van Duijn, Michael J. Econs, Vilmundur Guðnason, Jaspal S. Kooner, Bruce M. Psaty, Timothy D. Spector, Kāri Stefánsson, Fernando Rivadeneira, André G. Uitterlinden, Nicholas J. Wareham, Vicky Ossowski, Dawn Waterworth, Ruth J. F. Loos, David Karasik, Tamara B. Harris, Claes Ohlsson, Douglas P. Kiel
Bibliographic record
VenueNature Communications · 2017
Typeerratum
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNutrition, Genetics, and Disease
Canadian institutionsMcMaster University Medical CentreMcGill University
FundersNational Institute of Arthritis and Musculoskeletal and Skin DiseasesNovo Nordisk FondenNational Institute of Diabetes and Digestive and Kidney DiseasesNational Heart, Lung, and Blood InstituteMedical Research CouncilNational Institute for Health and Care ResearchCancer Research UK
KeywordsGenome-wide association studyComputational biologyAssociation (psychology)Meta-analysisGeneticsBiologyGenetic associationGenomeMedicineGeneGenotypeSingle-nucleotide polymorphismPsychologyInternal medicine
Abstract
A correction to this article has been published and is linked from the HTML version of this article.
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 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)0.006
metaresearch head score (Gemma)0.072
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.044
Threshold uncertainty score0.147
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.072 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.011 |
| Insufficient payload (model declined to judge) | 0.044 | 0.018 |
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 head0.047
GPT teacher head0.359
Teacher spread0.312 · 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 designMeta-analysis
Domainnot available
GenreOther
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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Citations9
Published2017
Admission routes1
Has abstractyes