← Back to cohort
Mutations in KEOPS-complex genes cause nephrotic syndrome with primary microcephaly
Daniela A. Braun, Jia Rao, Géraldine Mollet, David Schapiro, Marie‐Claire Daugeron, Weizhen Tan, Olivier Gribouval, Olivia Boyer, Patrick Revy, Tilman Jobst‐Schwan, Johanna Magdalena Schmidt, Jennifer A. Lawson, Denny Schanze, Shazia Ashraf, Jeremy F.P. Ullmann, Charlotte A. Hoogstraten, Nathalie Boddaert, Bruno Collinet, Gaëlle Martin, Dominique Liger, Svjetlana Lovric, Mónica Furlano, Ida Chiara Guerrera, Oraly Sanchez-Ferras, Jennifer Hu, Anne‐Claire Boschat, Sylvia Sanquer, Björn Menten, Sarah Vergult, Nina De Rocker, Merlin Airik, Tobias Hermle, Shirlee Shril, Eugen Widmeier, Heon Yung Gee, Won‐Il Choi, Carolin E. Sadowski, Werner L. Pabst, Jillian K. Warejko, Ankana Daga, Tamara Basta, Verena Matejas, Karin Scharmann, Sandra D. Kienast, Babak Behnam, Brendan Beeson, Amber Begtrup, M. Bruce, Gaik-Siew Ch’ng, Shuan‐Pei Lin, Jui-Hsing Chang, Chao‐Huei Chen, Megan T. Cho, Patrick M. Gaffney, Patrick E. Gipson, Chyong-Hsin Hsu, Jameela A. Kari, Yu-Yuan Ke, Cathy Kiraly‐Borri, Wai-ming Lai, Emmanuelle Lemyre, Rebecca O. Littlejohn, Amira Masri, Mastaneh Moghtaderi, Kazuyuki Nakamura, Fatih Özaltın, Marleen Praet, Chitra Prasad, Agnieszka Prytula-Ebels, Elizabeth Roeder, Patrick Rump, Rhonda E. Schnur, Takashi Shiihara, Manish D. Sinha, Neveen A. Soliman, Kenza Soulami, David A. Sweetser, Wen‐Hui Tsai, Jeng-Daw Tsai, Rezan Topaloğlu, Udo Vester, David H. Viskochil, Nithiwat Vatanavicharn, Jessica L. Waxler, Klaas J. Wierenga, Matthias T. F. Wolf, Sik-Nin Wong, Sebastian A. Leidel, Gessica Truglio, Peter C. Dedon, Annapurna Poduri, Shrikant Mane, Richard P. Lifton, Maxime Bouchard, Pekka Kannus, David Chitayat, Daniella Magen, Bert Callewaert, Herman van Tilbeurgh, Martin Zenker, Corinne Antignac, Friedhelm Hildebrandt
Bibliographic record
VenueNature Genetics · 2017
Typearticle
Languageen
FieldMedicine
TopicRenal Diseases and Glomerulopathies
Canadian institutionsHospital for Sick ChildrenSickKids FoundationUniversity of TorontoCentre Hospitalier Universitaire Sainte-JustineLondon Health Sciences CentreWestern UniversityUniversité de MontréalMcGill University Health Centre
FundersCommon FundEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of Environmental Health SciencesNational Institute of General Medical SciencesNational Human Genome Research InstituteNational Institutes of HealthDeutsche Akademie der Naturforscher Leopoldina - Nationale Akademie der WissenschaftenVlaamse regeringHospital for Sick ChildrenUniversité de MontréalTehran University of Medical Sciences and Health ServicesYale UniversityUniversity of TorontoHacettepe ÜniversitesiFonds de Recherche du Québec - SantéMinistry of Science, ICT and Future PlanningUniversity of BristolNierstichtingMax-Planck-GesellschaftYonsei UniversityAgence Nationale de la RechercheYonsei University College of MedicineMcGill UniversityDeutsche ForschungsgemeinschaftEuropean CommissionNational Institute for Health and Care ResearchNational Research FoundationNational Center for Advancing Translational SciencesNational Research Foundation of KoreaNational Research Foundation SingaporeKing's College LondonSociedad Española de NefrologíaNational Institute of Diabetes and Digestive and Kidney DiseasesASN Foundation for Kidney ResearchKing's College Hospital NHS Foundation TrustNational Science Foundation
KeywordsMicrocephalyBiologyGene knockdownEndoplasmic reticulumPhenotypeGeneticsUnfolded protein responseGeneCell biologyCancer research
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.557
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 head0.016
GPT teacher head0.287
Teacher spread0.271 · 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
Citations221
Published2017
Admission routes2
Has abstractno