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Association Study of Exon Variants in the NF-κB and TGFβ Pathways Identifies CD40 as a Modifier of Duchenne Muscular Dystrophy
Luca Bello, Kevin M. Flanigan, Robert B. Weiss, Diane M. Dunn, Kathryn J. Swoboda, Eduard Gappmaier, Michael Howard, Jacinda B. Sampson, Mark B. Bromberg, Russell J. Butterfield, Lynne M. Kerr, Julaine Florence, Anne M. Connolly, Glenn Lopate, Paul T. Golumbek, Jeanine Schierbecker, Betsy Malkus, Renee Renna, Catherine Siener, Richard S. Finkel, Carsten G. Bönnemann, Līvija Medne, Allan M. Glanzman, Jean Flickinger, Jerry R. Mendell, Wendy King, Linda Lowes, Lindsay N. Alfano, Katherine D. Mathews, Carrie Stephan, Karla S. Laubenthal, Kris Baldwin, Brenda Wong, P. Morehart, Amy Meyer, Cameron E. Naughton, Marcia K. Margolis, Pietro Spitali, Annemieke Aartsma‐Rus, Francesco Muntoni, Irina Zaharieva, Alessandra Ferlini, Eugenio Mercuri, Sylvie Tuffery‐Giraud, Mireille Claustres, Volker Straub, Hanns Lochmüller, Andrea Barp, Sara Vianello, Elena Pegoraro, Jaya Punetha, Heather Gordish‐Dressman, Mamta Giri, Craig M. McDonald, Eric P. Hoffman, Avital Cnaan, Richard T. Abresch, Erik Henricson, Lauren P. Morgenroth, Tina Duong, Vinothini Chidambaranathan, W. Douglas Biggar, Laura McAdam, Jean K. Mah, M. Tulinius, Robert T. Leshner, Carolina Tesi Rocha, Mathula Thangarajh, Andrew J. Kornberg, Monique M. Ryan, Yoram Nevo, Alberto Dubrovsky, Paula R. Clemens, Hoda Abdel‐Hamid, Alan Pestronk, Jean Teasley, Tulio E. Bertorini, Kathryn North, Richard Webster, Hanna Kolski, Nancy L. Kuntz, Sherilyn W. Driscoll, Jose Carlo, Ksenija Gorni, Timothy Lotze, Peter Karachunski, John B. Bodensteiner
Bibliographic record
VenueThe American Journal of Human Genetics · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle Physiology and Disorders
Canadian institutionsStollery Children's Hospital
FundersNational Institute on Disability and Rehabilitation ResearchNational Institute of Arthritis and Musculoskeletal and Skin DiseasesMedical Research CouncilUniversità degli Studi di PadovaU.S. Department of DefenseU.S. Department of EnergyEuropean CommissionChildren's National HospitalNewcastle UniversityNational Institute of Neurological Disorders and StrokeNational Institute for Health and Care ResearchFondazione TelethonMinistero dell’Istruzione, dell’Università e della RicercaUniversity College LondonGreat Ormond Street Hospital for ChildrenU.S. Department of EducationNational Institutes of HealthNIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer ResearchDuchenne Parent ProjectAssociation Française contre les Myopathies
KeywordsSingle-nucleotide polymorphismGeneticsBiologyDuchenne muscular dystrophyMinor allele frequencyAllelePopulationGeneMedicineGenotype
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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.904
Threshold uncertainty score0.203
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 head0.012
GPT teacher head0.255
Teacher spread0.244 · 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 designBench or experimental
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
Citations74
Published2016
Admission routes1
Has abstractno