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Record W3122850411 · doi:10.1016/j.ajhg.2021.01.008

De novo TRIM8 variants impair its protein localization to nuclear bodies and cause developmental delay, epilepsy, and focal segmental glomerulosclerosis

2021· article· en· W3122850411 on OpenAlexafffund
Patricia L. Weng, Amar J. Majmundar, Kamal Khan, Tze Yin Lim, Shirlee Shril, Gina Jin, John Musgrove, Minxian Wang, Dina Ahram, Vimla S. Aggarwal, Louise Bier, Erin L. Heinzen, Ana C. Onuchic-Whitford, Nina Mann, Florian Buerger, Ronen Schneider, Konstantin Deutsch, Thomas M. Kitzler, Verena Klämbt, Amy Kolb, Youying Mao, Christelle Moufawad El Achkar, Adele Mitrotti, Jeremiah Martino, Bodo B. Beck, Janine Altmüller, Marcus R. Benz, Shoji Yano, Mohamad A. Mikati, Talha Gunduz, Heidi Cope, Vandana Shashi, Howard Trachtman, Monica Bodria, Gianluca Caridi, Isabella Pisani, Enrico Fiaccadori, Asmaa S. AbuMaziad, Julián A. Martínez-Agosto, Ora Yadin, Jonathan E. Zuckerman, Arang Kim, Ulrike John-Kroegel, Amanda V. Tyndall, Jillian S. Parboosingh, A. Micheil Innes, Agnieszka Bierżyńska, Ania Koziell, Mordi Muorah, Moin A. Saleem, Julia Hoefele, Korbinian M. Riedhammer, Ali G. Gharavi, Vaidehi Jobanputra, Emma Pierce‐Hoffman, Eleanor G. Seaby, Anne O’Donnell‐Luria, Heidi L. Rehm, Shrikant Mane, Vivette D. D’Agati, Martin R. Pollak, Gian Marco Ghiggeri, Richard P. Lifton, David B. Goldstein, Erica E. Davis, Friedhelm Hildebrandt, Simone Sanna‐Cherchi

Bibliographic record

VenueThe American Journal of Human Genetics · 2021
Typearticle
Languageen
FieldImmunology and Microbiology
Topicinterferon and immune responses
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Center for Advancing Translational SciencesMedical Research CouncilCanadian Institutes of Health ResearchManchester Biomedical Research CentreManton Center for Orphan Disease Research, Boston Children's HospitalNational Human Genome Research InstituteAlberta Children's Hospital Research InstituteBroad InstituteAlberta Children's Hospital FoundationDeutsche ForschungsgemeinschaftNational Institute for Health and Care ResearchHigher Education Commision, PakistanU.S. Department of DefenseKidney Foundation of CanadaNational Institutes of HealthKidney Research UKAstraZenecaCanadian Society of NephrologyNational Eye InstituteGuy's and St Thomas' NHS Foundation TrustNational Institute of Diabetes and Digestive and Kidney DiseasesASN Foundation for Kidney ResearchKing’s College LondonNational Heart, Lung, and Blood InstituteAmerican Society of Pediatric Nephrology
KeywordsEpilepsyFocal segmental glomerulosclerosisNeuroscienceBiologyMedicineGeneticsGlomerulonephritis

Abstract

fetched live from OpenAlex
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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.017
GPT teacher head0.258
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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

Citations27
Published2021
Admission routes2
Has abstractno

Explore more

Same venueThe American Journal of Human GeneticsSame topicinterferon and immune responsesFrench-language works237,207