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Genetic and environmental effects on body mass index from infancy to the onset of adulthood: an individual-based pooled analysis of 45 twin cohorts participating in the COllaborative project of Development of Anthropometrical measures in Twins (CODATwins) study
Karri Silventoinen, Aline Jelenkovic, Reijo Sund, Yoon‐Mi Hur, Yoshie Yokoyama, Chika Honda, Jacob Hjelmborg, Søren Møller, Syuichi Ooki, Sari Aaltonen, Fuling Ji, Feng Ning, Zengchang Pang, Esther Rebato, Andreas Busjahn, Christian Kandler, Kimberly J. Saudino, Kerry L. Jang, Wendy Cozen, Amie E. Hwang, Thomas M. Mack, Wenjing Gao, Canqing Yu, Liming Li, Robin P. Corley, Brooke M. Huibregtse, Kaare Christensen, Axel Skytthe, Kirsten Ohm Kyvik, Cathérine Derom, Robert Vlietinck, Ruth J. F. Loos, Kauko Heikkilä, Jane Wardle, Clare Llewellyn, Abigail Fisher, Tom A. McAdams, Thalia C. Eley, Alice M. Gregory, Mingguang He, Xiaohu Ding, Morten Bjerregaard-Andersen, Henning Beck‐Nielsen, Morten Sodemann, Ádám Domonkos Tárnoki, Dávid László Tárnoki, Maria Antonietta Stazi, Corrado Fagnani, Cristina D’Ippolito, Ariel Knafo‐Noam, David Mankuta, Lior Abramson, S. Alexandra Burt, Kelly L. Klump, Judy L. Silberg, Lindon J. Eaves, Hermine H. Maes, Robert F. Krueger, Matt McGue, Shandell Pahlen, Margaret Gatz, David A. Butler, Meike Bartels, Jeffrey M. Craig, Richard Saffery, Duarte Freitas, José Maia, Lise Dubois, Michel Boivin, Mara Brendgen, Ginette Dionne, Frank Vitaro, Nicholas G. Martin, Sarah E. Medland, Grant W. Montgomery, Young-Sook Chong, Gary E. Swan, Ruth E. Krasnow, Patrik K. E. Magnusson, Nancy L. Pedersen, Per Tynelius, Paul Lichtenstein, Claire M. A. Haworth, Robert Plomin, Gombojav Bayasgalan, Narandalai Danshiitsoodol, K. Paige Harden, Elliot M. Tucker–Drob, Sevgi Yurt Öncel, Fazil Alıev, Timothy D. Spector, Massimo Mangino, Geneviève Lachance, Laura A. Baker, Catherine Tuvblad, Glen E. Duncan, Dedra Buchwald, Gonneke Willemsen, Finn Rasmussen, Jack Goldberg, Thorkild I. A. Sørensen, Dorret I. Boomsma, Jaakko Kaprio
Bibliographic record
VenueBristol Research (University of Bristol) · 2016
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsUniversité de MontréalUniversité du Québec à MontréalUniversité LavalUniversity of OttawaUniversity of British Columbia
FundersFP7 HealthNational Institute on Drug AbuseNational Institute of Mental HealthDanish Agency for Science and Higher EducationNational Health and Medical Research CouncilEconomic and Social Research CouncilNIHR BioResourceForsknings- og InnovationsstyrelsenUniversity of WashingtonTobacco-Related Disease Research ProgramCollege of Engineering, Michigan State UniversityJapan Society for the Promotion of ScienceDirectorate for Biological SciencesNational Institutes of HealthTürkiye Bilimsel ve Teknolojik Araştırma KurumuZonMwNational Natural Science Foundation of ChinaUniversity of Southern CaliforniaCancer Research UKNational Research FoundationKırıkkale ÜniversitesiLeverhulme TrustMichigan State UniversityMedical Research CouncilNational Research Foundation of KoreaKing's College LondonVlaamse regeringVrije Universiteit AmsterdamState Government of VictoriaBonnie Babes FoundationNational Institute for Health and Care ResearchNederlandse Organisatie voor Wetenschappelijk Onderzoek
KeywordsDemographyBody mass indexTwin studyExplained variationEnvironmental effectAffect (linguistics)Gene–environment interactionGenetic variationBiologyHeritabilityPsychologyEcologyGeneticsGenotypeEnvironmental impact assessmentPopulationStatisticsEndocrinology
DOInot available
Abstract
OpenAlex records an abstract for this work, but it could not be fetched just now.
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)0.003
metaresearch head score (Gemma)0.004
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 score0.018
Threshold uncertainty score0.035
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 head0.044
GPT teacher head0.336
Teacher spread0.292 · 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 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
Citations0
Published2016
Admission routes1
Has abstractyes