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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, Sören Möller, 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 A. 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
VenueAmerican Journal of Clinical Nutrition · 2016
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsUniversité de MontréalUniversité du Québec à MontréalUniversité LavalUniversity of OttawaUniversity of British Columbia
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute on Drug AbuseNational Institute on AgingMedical Research CouncilJapan Society for the Promotion of ScienceNational Health and Medical Research CouncilNIHR BioResourceCollege of Engineering, Michigan State UniversityDirectorate for Biological SciencesNational Institutes of HealthTürkiye Bilimsel ve Teknolojik Araştırma KurumuZonMwKing's College LondonNational Research Foundation of KoreaKırıkkale ÜniversitesiNational Institute for Health and Care ResearchMichigan State UniversityNational Research FoundationVrije Universiteit AmsterdamUniversity of WashingtonNational Institute of Mental HealthState Government of VictoriaBonnie Babes Foundation
KeywordsBody mass indexTwin studyDevelopmental psychologyPsychologyEarly adulthoodIndex (typography)DemographyMedicineYoung adultBiologyComputer scienceGeneticsEndocrinologySociologyHeritability
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 distilled prediction
Teacher imitationNot 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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.023
Threshold uncertainty score0.370
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 head0.035
GPT teacher head0.376
Teacher spread0.341 · 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 teacher head, 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
Citations245
Published2016
Admission routes1
Has abstractno