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Genetic variants for head size share genes and pathways with cancer
Alexander Teumer, Vince D. Calhoun, Manabu Nagata, Raymond A. Poot, Aad van der Lugt, Svenja Caspers, Gloria Hoi‐Yee Li, Charlotte A. M. Cecil, Arno Villringer, Céline S. Reinbold, Neda Jahanshad, Soichiro Nakahara, Jason L. Stein, Mikołaj A. Pawlak, B. Gwen Windham, Outi Mäkitie, Quentin Le Grand, Ahmad R. Hariri, Katharina Wittfeld, Meike W. Vernooij, Asta K. Håberg, M. Kamran Ikram, Thomas W. Mühleisen, Jean‐François Dartigues, Adrian Preda, Marie‐Gabrielle Duperron, Anne Uhlmann, Anders Kämpe, Dan J. Stein, The Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium, Reinhold Schmidt, Beaté St Pourcain, Yash Patel, Maria J. Knol, Zdenka Pausová, Gennady V. Roshchupkin, Paul M. Thompson, Dianne H.K. van Dam-Nolen, Alexa Beiser, Ryan L. Muetzel, Hieab H.H. Adams, Han G. Brunner, Murray J. Cairns, Theo G.M. van Erp, Ami Tsuchida, Bernard Mazoyer, Catherine Helmer, Claudia L. Satizábal, Reut Avinun, Georg Homuth, The Enhancing NeuroImaging Genetics through Meta-Analysis Consortium, Susumu Miyamoto, Muralidharan Sargurupremraj, David J. Werring, Nele Friedrich, Fabìo Macciardi, Joshua C. Bis, Stephen Sidney, Yoichiro Kamatani, Sudha Seshadri, Sandra Van der Auwera, Henry Houlden, Hans J. Grabe, William R. Reay, Judith M. Ford, Kazuya Setoh, Kang Sim, Sander Lamballais, Ching‐Lung Cheung, Stéphanie Debette, Dan Liang, Thomas H. Mosley, Max Lam, Yann Quidé, Lenore J. Launer, Simon Haworth, Kazumichi Yoshida, Donald W. Bowden, Fumihiko Matsuda, Sven Cichon, Maria Enlund-Cerullo, Tavia E. Evans, Frauke Beyer, Chin Yang Shapland, Nil Aygün, Barry I. Freedman, R. Nick Bryan, Keane Lim, Aniket Mishra, Peter J. Koudstaal, Robin Bülow, Sture Andersson, Pamela J. Schreiner, Amaia Carrión-Castillo, Sarah E. Medland, Fang‐Chi Hsu, Clifford R. Jack, M. Arfan Ikram, Susanne Moebus, Per Hoffmann, Alyssa R. Amod, Fabrice Crivello, Melissa J. Green, Myriam Fornage, Gwénaëlle Catheline, Markus Scholz, Tomáš Paus, Shareefa Dalvie, Charles DeCarli, Xueqiu Jian, Mariël W.A. Teunissen, Barbara Franke, Daniël Bos, Shuo Li, Cora E. Lewis, Jean Shin, Tonya White, Christiane Jockwitz, Qiong Yang, Yasuharu Tabara, Joshua Atkins, A. Veronica Witte, W. T. Longstreth
Bibliographic record
VenueUNC Libraries · 2024
Typearticle
Languageen
FieldMedicine
TopicCancer-related Molecular Pathways
Canadian institutionsnot available
FundersNational Heart, Lung, and Blood InstituteJapan Society for the Promotion of ScienceNational Health and Medical Research CouncilNational Center for Advancing Translational SciencesMedical Research CouncilCanadian Institutes of Health ResearchWake Forest School of MedicineMacquarie Group FoundationUniversität GreifswaldNational Institutes of HealthHeinz Nixdorf StiftungSiemens HealthineersUniversity College London Hospitals NHS Foundation TrustRamsay Health CareFondation Bettencourt SchuellerFondation de FranceKaiser Foundation Research InstituteVetenskapsrådetNovo NordiskSuomen Lääketieteen SäätiöBundesministerium für Wissenschaft, Forschung und WirtschaftErasmus Medisch CentrumZonMwMinistry of Education, Culture, Sports, Science and TechnologyNederlandse Organisatie voor Wetenschappelijk OnderzoekNational Center for Research ResourcesAgence Nationale de la RechercheUniversity of TorontoBritish Heart FoundationAustralian Schizophrenia Research BankBundesministerium für Bildung und ForschungNational Institute on AgingPratt FoundationNational Institute for Health and Care ResearchGovernment of OntarioInstitut National de la Santé et de la Recherche MédicaleUniversity of MinnesotaEU Joint Programme – Neurodegenerative Disease ResearchUniversité de BordeauxCompute CanadaEuropean CommissionSchool of Medicine, Boston UniversityNorthwestern UniversityHeart and Stroke Foundation of CanadaSanofiU.S. Department of Health and Human Services
KeywordsGeneGeneticsBiologyHead (geology)Computational biologyEvolutionary biologyPaleontology
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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.565
Threshold uncertainty score0.582
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 | 0.000 | 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 head0.024
GPT teacher head0.249
Teacher spread0.225 · 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 designNot applicable
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
Published2024
Admission routes1
Has abstractno