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Directional dominance on stature and cognition in diverse human populations
Peter K. Joshi, Tõnu Esko, Hannele Mattsson, Niina Eklund, Ilaria Gandin, Teresa Nutile, Anne Jackson, Claudia Schurmann, Albert V. Smith, Weihua Zhang, Yukinori Okada, Alena Stančáková, Jessica D. Faul, Wei Zhao, Traci M. Bartz, Maria Pina Concas, Nora Franceschini, Stefan Enroth, Véronique Vitart, Stella Trompet, Xiuqing Guo, Daniel I. Chasman, Jeffrey R. O’Connel, Tanguy Corre, Suraj S. Nongmaithem, Yuning Chen, Massimo Mangino, Daniela Ruggiero, Michela Traglia, Aliki‐Eleni Farmaki, Tim Kacprowski, Andrew Bjonnes, Ashley van der Spek, Ying Wu, Anil K. Giri, Lisa R. Yanek, Lihua Wang, Edith Hofer, Cornelius A. Rietveld, Olga McLeod, Marilyn C. Cornelis, Cristian Pattaro, Niek Verweij, Clemens Baumbach, Abdel Abdellaoui, Helen R. Warren, Dragana Vuckovic, Hao Mei, Claude Bouchard, John R. B. Perry, Stefania Cappellani, Saira Saeed Mirza, Miles C. Benton, Ulrich Broeckel, Sarah E. Medland, Penelope A. Lind, Giovanni Malerba, Alexander Drong, Loïc Yengo, Lawrence F. 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Bibliographic record
VenueNature · 2015
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Associations and Epidemiology
Canadian institutionsUniversité LavalCentre for Global Health Research
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute on Minority Health and Health DisparitiesNational Institute on Deafness and Other Communication DisordersNational Center for Advancing Translational SciencesWellcome TrustNational Human Genome Research InstitutePfizerNational Heart, Lung, and Blood InstituteNational Institute on AgingNational Institute of Diabetes and Digestive and Kidney DiseasesBiotechnology and Biological Sciences Research CouncilMedical Research CouncilNovo Nordisk FondenNational Institute of Neurological Disorders and StrokeNational Institute for Health and Care ResearchNational Cancer InstituteBritish Heart FoundationYale University
KeywordsRuns of HomozygosityQuantitative trait locusInbreedingBiologyGeneticsDominance (genetics)Disease gene identificationTraitInbreeding depressionPopulationDemographyGenotypePhenotypeSingle-nucleotide polymorphismGene
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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch 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 score0.849
Threshold uncertainty score0.999
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| 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 head0.051
GPT teacher head0.388
Teacher spread0.337 · 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.
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
Citations201
Published2015
Admission routes1
Has abstractno