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Record W2104382557 · doi:10.1038/nature11401

FTO genotype is associated with phenotypic variability of body mass index

2012· review· en· W2104382557 on OpenAlexaff
Jian Yang, Ruth J. F. Loos, Joseph E. Powell, Sarah E. Medland, Elizabeth K. Speliotes, Daniel I. Chasman, Lynda M. Rose, Guðmar Þorleifsson, Valgerður Steinthórsdóttir, Reedik Mägi, Lindsay L. Waite, Albert V. Smith, Laura M. Yerges-Armstrong, Keri L. Monda, David Hadley, Anubha Mahajan, Li Guo, Karen Kapur, Véronique Vitart, Jennifer E. Huffman, Sophie R. Wang, Cameron D. Palmer, Tõnu Esko, Krista Fischer, Wei Zhao, Ayşe Demirkan, Aaron Isaacs, Mary F. Feitosa, Jian’an Luan, Nancy L. Heard‐Costa, Charles C. White, Anne Jackson, Michael Preuß, Andreas Ziegler, Joel Eriksson, Zoltán Kutalik, Francesca Frau, Ilja M. Nolte, Jana V. van Vliet‐Ostaptchouk, Jouke‐Jan Hottenga, Kevin B. Jacobs, Niek Verweij, Anuj Goel, Carolina Medina‐Gómez, Karol Estrada, Jennifer L. Bragg‐Gresham, Serena Sanna, Carlo Sidore, Jonathan P. Tyrer, Alexander Teumer, Inga Prokopenko, Massimo Mangino, Cecilia M. Lindgren, Themistocles L. Assimes, Alan R. Shuldiner, Jennie Hui, John Beilby, Wendy L. McArdle, Per Hall, Talin Haritunians, Lina Zgaga, Ivana Kolčić, Ozren Polašek, Tatijana Zemunik, Ben A. Oostra, Juhani Junttila, Henrik Grönberg, Stefan Schreiber, Annette Peters, Andrew A. Hicks, Jonathan Stephens, Nicola Foad, Jaana Laitinen, Anneli Pouta, Marika Kaakinen, Gonneke Willemsen, Jacqueline M. Vink, Sarah H. Wild, Gerjan Navis, Folkert W. Asselbergs, Georg Homuth, Ulrich John, Carlos Iribarren, Tamara Harris, Lenore J. Launer, Vilmundur Guðnason, Jeffrey R. O’Connell, Eric Boerwinkle, Gemma Cadby, Lyle J. Palmer, Arthur W. Musk, Erik Ingelsson, Bruce M. Psaty, J. Beckmann, Gérard Waeber, Péter Vollenweider, Caroline Hayward, Alan F. Wright, Igor Rudan, Leif Groop, Andres Metspalu, Kay‐Tee Khaw, Cornelia M. van Duijn, Ingrid B. Borecki, Michael A. Province, Nicholas J. Wareham, Jean‐Claude Tardif, Heikki V. Huikuri, L. Adrienne Cupples, Larry D. Atwood, Caroline S. Fox, Michael Boehnke, Francis S. Collins, Karen L. Mohlke, Jeanette Erdmann, Heribert Schunkert, Christian Hengstenberg, Klaus Stark, Mattias Lorentzon, Claes Ohlsson, Daniele Cusi, Jan A. Staessen, Melanie M. van der Klauw, Peter P. Pramstaller, Sekar Kathiresan, Jennifer D. Jolley, Samuli Ripatti, Marjo‐Riitta Järvelin, Eco J. C. de Geus, Dorret I. Boomsma, Brenda W.J.H. Penninx, James F. Wilson, Harry Campbell, Stephen J. Chanock, Pim van der Harst, Anders Hamsten, Hugh Watkins, Albert Hofman, Jacqueline C.M. Witteman, M. Carola Zillikens, André G. Uitterlinden, Fernando Rivadeneira, Lambertus A. Kiemeney, Sita H. Vermeulen, Gonçalo R. Abecasis, David Schlessinger, Sabine Schipf, Michael Stümvoll, Anke Tönjes, Tim D. Spector, Kari E. North, Guillaume Lettre, Mark I. McCarthy, Sonja I. Berndt, Andrew C. Heath, Pamela A. F. Madden, Dale R. Nyholt, Grant W. Montgomery, Nicholas G. Martin, Barbara McKnight, David P. Strachan, William Hill, Harold Snieder, Paul M. Ridker, Unnur Þorsteinsdóttir, Kāri Stefánsson, Timothy M. Frayling, Joel N. Hirschhorn, Michael E. Goddard, Peter M. Visscher

Bibliographic record

VenueNature · 2012
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Associations and Epidemiology
Canadian institutionsUniversité de MontréalOntario Institute for Cancer Research
FundersNational Center for Research ResourcesU.S. National Library of MedicineNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institute of General Medical SciencesNational Institute on Drug AbuseNational Institute of Mental HealthNational Heart, Lung, and Blood InstituteNational Institute on AgingNational Cancer InstituteNational Institute on Alcohol Abuse and AlcoholismCancer Research UKNational Health and Medical Research CouncilNational Human Genome Research InstituteWellcome TrustAustralian Research CouncilNational Institute of Arthritis and Musculoskeletal and Skin DiseasesMedical Research CouncilNational Institutes of Health
KeywordsBiologySingle-nucleotide polymorphismGeneticsGenetic variationPhenotypeQuantitative trait locusGenome-wide association studyGenotypeLocus (genetics)Genetic associationGenetic variabilityTraitSNPGenetic architectureEvolutionary biologyGene

Abstract

fetched live from OpenAlex
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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.942
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0060.002
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 head0.015
GPT teacher head0.296
Teacher spread0.281 · 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.

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".

Quick stats

Citations455
Published2012
Admission routes1
Has abstractno

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