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Defining the role of common variation in the genomic and biological architecture of adult human height
Andrew R. Wood, Tõnu Esko, Jian Yang, Sailaja Vedantam, Tune H. Pers, Stefan Gustafsson, Audrey Y. Chu, Karol Estrada, Jian’an Luan, Zoltán Kutalik, Najaf Amin, Martin L. Buchkovich, Damien C. Croteau‐Chonka, Felix R. Day, Yanan Duan, Tove Fall, Rudolf S.N. Fehrmann, Teresa Ferreira, Anne Jackson, Juha Karjalainen, Ken Sin Lo, Adam E. Locke, Reedik Mägi, Evelin Mihailov, Eleonora Porcu, Joshua C. Randall, André Scherag, Anna A. E. Vinkhuyzen, Harm-Jan Westra, Thomas W. Winkler, Tsegaselassie Workalemahu, Wei Zhao, Devin Absher, Eva Albrecht, Denise Anderson, Jeffrey Baron, Marian Beekman, Ayşe Demirkan, Georg Ehret, Bjarke Feenstra, Mary F. Feitosa, Krista Fischer, Ross M. Fraser, Anuj Goel, Jian Gong, Anne E. Justice, Stavroula Kanoni, Marcus E. Kleber, Kati Kristiansson, Unhee Lim, Vaneet Lotay, Julian C. Lui, Massimo Mangino, Irene Mateo Leach, Carolina Medina‐Gómez, Michael A. Nalls, Dale R. Nyholt, Cameron D. Palmer, Dorota Pasko, Sonali Pechlivanis, Inga Prokopenko, Janina S. Ried, Stephan Ripke, Dmitry Shungin, Alena Stančáková, Rona J. Strawbridge, Toshiko Tanaka, Alexander Teumer, Stella Trompet, Sander W. van der Laan, Jessica van Setten, Jana V. van Vliet‐Ostaptchouk, Loïc Yengo, Weihua Zhang, Uzma Afzal, Johan Ärnlöv, Gillian M. Arscott, Stefania Bandinelli, Amy Barrett, Claire Bellis, Amanda J. Bennett, Christian Berne, Matthias Blüher, Jennifer L. Bolton, Yvonne Böttcher, Heather A. Boyd, Marcel Bruinenberg, Brendan M. Buckley, Steven Buyske, Ida Henriette Caspersen, Peter S. Chines, Robert Clarke, Matthew N. Cooper, E. Warwick Daw, Pim A. de Jong, Joris Deelen, Graciela Delgado, Joshua C. Denny, R.A.M. Dhonukshe-Rutten, Maria Dimitriou, Alex S. F. Doney, Marcus Dörr, Niina Eklund, Elodie Eury, Lasse Folkersen, Melissa E. Garcia, Frank Geller, Vilmantas Giedraitis, Alan S. Go, Harald Grallert, Tanja B. Grammer, Jürgen Gräßler, Henrik Grönberg, C.P.G.M. de Groot, Christopher J. 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Nöthen, Laticia Oozageer, Stefan Pilz, Nigel W. Rayner, Frida Renström, Neil R. Robertson, Lynda M. Rose, Ronan Roussel, Serena Sanna, Hubert Scharnagl, Salome Scholtens, Fredrick R. Schumacher, Heribert Schunkert, Robert A. Scott, Joban Sehmi, Thomas Seufferlein, Jianxin Shi, Karri Silventoinen, Johannes H. Smit, Albert V. Smith, Joanna Smolonska, Alice Stanton, Kathleen Stirrups, David J. Stott, Heather M. Stringham, Johan Sundström, Morris A. Swertz, Ann-Christine Syvänen, Bamidele O. Tayo, Guðmar Þorleifsson, Jonathan P. Tyrer, Suzanne van Dijk, Natasja M. van Schoor, Nathalie van der Velde, Floor V. A. van Oort, Sita H. Vermeulen, Niek Verweij, Judith M. Vonk, Lindsay L. Waite, Mélanie Waldenberger, Roman Wennauer, Lynne R. Wilkens, Christina Willenborg, Tom Wilsgaard, Mary K. Wojczynski, Andrew Wong, Alan F. Wright, Qunyuan Zhang, Dominique Arveiler, Stephan J. L. Bakker, John Beilby, Richard N. Bergman, Sven Bergmann, Reiner Biffar, John Blangero, Dorret I. Boomsma, Stefan R. Bornstein, Pascal Bovet, Paolo Brambilla, Harry Campbell, Mark J. Caulfield, Aravinda Chakravarti, Rory Collins, Francis S. Collins, Dana C. Crawford, L. Adrienne Cupples, John Danesh, Ulf dé Fairé, Hester M. den Ruijter, Raimund Erbel, Jeanette Erdmann, Johan G. Eriksson, Martin Farrall, Ele Ferrannini, Jean Ferrières, Ian Ford, Nita G. Forouhi, Terrence Forrester, Ron T. Gansevoort, Pablo V. Gejman, Christian Gieger, Alain Golay, Omri Gottesman, Vilmundur Guðnason, Ulf Gyllensten, David W. Haas, Alistair S. Hall, Tamara B. Harris, Andrew T. Hattersley, Andrew C. Heath, Christian Hengstenberg, Andrew A. Hicks, Lucia A. Hindorff, Aroon D. Hingorani, Albert Hofman, G. Kees Hovingh, Steve E. Humphries, Steven C. Hunt, Elina Hyppönen, Kevin B. Jacobs, Marjo‐Riitta Järvelin, Antti Jula, Jaakko Kaprio, John J.P. Kastelein, Manfred Kayser, Frank Kee, Sirkka Keinänen‐Kiukaanniemi, Lambertus A. Kiemeney, Jaspal S. Kooner, Charles Kooperberg, Seppo Koskinen, Péter Kovács, Aldi T. 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Bibliographic record
VenueNature Genetics · 2014
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Associations and Epidemiology
Canadian institutionsInstitut universitaire de cardiologie et de pneumologie de QuébecUniversité LavalMontreal Heart Institute
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentWellcome TrustNational Human Genome Research InstituteNational Center for Advancing Translational SciencesBritish Heart FoundationNational Cancer InstituteNational Institute of Diabetes and Digestive and Kidney DiseasesNational Heart, Lung, and Blood InstituteNovo Nordisk FondenNational Institute for Health and Care ResearchNational Institute of General Medical SciencesMedical Research Council
KeywordsBiologyGenetic architectureGeneticsGenome-wide association studyHeritabilityPhenotypeGeneWnt signaling pathwayMissing heritability problemSingle-nucleotide polymorphismGenetic associationQuantitative trait locusGenetic variationGenomeEvolutionary biologyGenotype
Abstract
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 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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.012
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 head0.010
GPT teacher head0.294
Teacher spread0.283 · 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 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
Citations2,096
Published2014
Admission routes1
Has abstractno