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Record W2152799367 · doi:10.1038/nature14878

Whole‐genome sequencing identifies EN1 as a determinant of bone density and fracture

2015· article· en· W2152799367 on OpenAlexafffund
Hou‐Feng Zheng, Vincenzo Forgetta, Yi‐Hsiang Hsu, Karol Estrada, Alberto Roselló‐Díez, Paul Leo, Chitra Lekha Dahia, Kyung Hyun Park‐Min, Jonathan H. Tobias, Charles Kooperberg, Aaron Kleinman, Unnur Styrkársdóttir, Ching‐Ti Liu, Charlotta Uggla, Daniel S. Evans, Carrie M. Nielson, Klaudia Walter, U. Pettersson, Shane McCarthy, Joel Eriksson, Tony Kwan, Mila Jhamai, Katerina Trajanoska, Yasin Memari, Josine L. Min, Jie Huang, Petr Danecek, Beth Wilmot, Rui Li, Wen‐Chi Chou, Lauren E. Mokry, Alireza Moayyeri, Melina Claussnitzer, Chia‐Ho Cheng, Warren Cheung, Carolina Medina‐Gómez, Bing Ge, Shu‐Huang Chen, Kwangbom Choi, Ling Oei, James A. Fraser, Robert Kraaij, Matthew Hibbs, Celia L. Gregson, Denis Paquette, Albert Hofman, Carl Wibom, Gregory J. Tranah, Mhairi Marshall, Brooke Gardiner, Katie Cremin, Paul L. Auer, Li Hsu, Joyce Y. Tung, Gudmar Thorleifsson, Anke W. Enneman, Natasja M. van Schoor, C.P.G.M. de Groot, Nathalie van der Velde, Beatrice Melin, John P. Kemp, Claus Christiansen, Adrian Sayers, Yanhua Zhou, Sophie Caldérari, Chris Carlson, Soizik Berlivet, Josée Dostie, André G. Uitterlinden, Stephen R. Williams, Charles R. Farber, Daniel Grinberg, Andrea Z. LaCroix, Jeff Haessler, Daniel I. Chasman, Franco Giulianini, Lynda M. Rose, Paul M. Ridker, John A. Eisman, Tuan V. Nguyen, Xavier Nogués, Natalia García‐Giralt, Dan Mellström, Liesbeth Vandenput, Najaf Amin, Cornelia M. van Duijn, Magnus K. Karlsson, Östen Ljunggren, Olle Svensson, Göran Hallmans, François Rousseau, Sylvie Giroux, Pascal Arp, Fjorda Koromani, Richard L. Prince, Joshua R. Lewis, Bente Langdahl, Anne Pernille Hermann, Jens‐Erik Beck Jensen, Stephen Kaptoge, Kay‐Tee Khaw, J. Reeve, Melissa M. Formosa, Angela Xuereb‐Anastasi, Kristina Åkesson, Fiona E. McGuigan, Gaurav Garg, José M. Olmos, Marı́a T. Zarrabeitia, José A. Riancho, Stuart H. Ralston, Nerea Alonso, Xi Jiang, David Goltzman, Tomi Pastinen, Elin Grundberg, Dominique Gauguier, Eric Orwoll, David Karasik, Albert V. Smith, Kristín Siggeirsdóttir, Tamara B. Harris, M. Carola Zillikens, Joyce B. J. van Meurs, Unnur A. Thorsteinsdottir, Matthew T. Maurano, Nicholas J. Timpson, Nicole Soranzo, Richard Durbin, Scott G. Wilson, Evangelia Ntzani, Matthew A. Brown, David A. Hinds, T. D. Spector, L. Adrienne Cupples, Claes Ohlsson, Celia M.T. Greenwood, Rebecca D. Jackson, David W. Rowe, Cynthia A. Loomis, David M. Evans, Cheryl L. Ackert‐Bicknell, Alexandra L. Joyner, Emma L. Duncan, Douglas P. Kiel, Fernando Rivadeneira, J. Brent Richards

Bibliographic record

VenueNature · 2015
Typearticle
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsMcGill University Health CentreUniversité LavalThe Quebec Population Health Research NetworkMcGill UniversityMcGill University and Génome Québec Innovation CentreJewish General Hospital
FundersNational Institute of Arthritis and Musculoskeletal and Skin DiseasesNational Institute on AgingMedical Research CouncilNational Cancer InstituteNational Institutes of HealthVersus ArthritisNovo Nordisk FondenCanadian Institutes of Health ResearchNational Institute for Health and Care ResearchBritish Heart FoundationWellcome Trust
KeywordsGenomeComputational biologyWhole genome sequencingBiologyGeneticsEvolutionary 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 machine prediction

Teacher imitation

Not 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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.291
Teacher spread0.273 · 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 source (direct Gemma or distilled Codex), 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

Citations629
Published2015
Admission routes2
Has abstractno

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