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Record W4412788259 · doi:10.1111/liv.70251

Phenotypic Divergence of <i>JAG1</i> ‐ and <i>NOTCH2</i> ‐Associated Alagille Syndrome &amp; Disease‐Specific <i>NOTCH2</i> Variant Classification Guidelines

2025· article· en· W4412788259 on OpenAlexafffund
Shannon M. Vandriel, Liting Li, Huiyu She, Jian‐She Wang, Kathleen M. Loomes, David A. Piccoli, Irena Jankowska, Piotr Czubkowski, Dorota Gliwicz‐Miedzińska, Lorenzo D’Antiga, Emanuele Nicastro, Florence Lacaille, Dominique Debray, Étienne Sokal, Tanguy Demaret, Rima Fawaz, Silvia Nastasio, Kyung Mo Kim, Seak Hee Oh, Björn Fischler, Henrik Arnell, Catherine Larson‐Nath, Winita Hardikar, Sahana Shankar, Shikha S. Sundaram, Alexander Chaidez, Pınar Bulut, Pier Luigi Calvo, Mureo Kasahara, Niviann Blondet, Eberhard Lurz, Anna‐Maria Kavallar, Emmanuel Gonzalès, Emmanuel Jacquemin, Jérôme Bouligand, Noelle H. Ebel, Jeffrey A. Feinstein, Susan Siew, Michael Stormon, Saul J. Karpen, René Romero, M. Kyle Jensen, Catalina Jaramillo, James E. Squires, Sarah M. Bedoyan, Déirdre Kelly, Jane Hartley, Henkjan J. Verkade, Way Seah Lee, Chatmanee Lertudomphonwanit, Ryan T. Fischer, Henry C. Lin, Nathalie Rock, Yael Mozer‐Glassberg, Amin J. Roberts, Helen Evans, Wikrom Karnsakul, Gabriella Nebbia, Victorien M. Wolters, Pamela L. Valentino, Amal Aqul, Çiğdem Arıkan, María Legarda Tamara, Cristina Molera Busoms, Thomas Damgaard Sandahl, Giuseppe Indolfi, Andréanne N. Zizzo, Aglaia Zellos, Rubén E. Quirós‐Tejeira, Ermelinda Santos Silva, Kathleen B. Schwarz, Jernej Brecelj, María Camila Sanchez, Maria Lorena Cavalieri, Christos Tzivinikos, Sabina Więcek, John Eshun, Nanda Kerkar, Quais Mujawar, Zerrin Önal, Cristina Gonçalves, Jennifer García, Seema Alam, Carolina Jiménez‐Rivera, Luís Bujanda, Richard J. Thompson, Bettina E. Hansen, Nancy B. Spinner, Melissa A. Gilbert, Binita M. Kamath

Bibliographic record

VenueLiver International · 2025
Typearticle
Languageen
FieldMedicine
TopicPediatric Hepatobiliary Diseases and Treatments
Canadian institutionsInstitute of Health Services and Policy ResearchChildren's Hospital of Eastern OntarioUniversity of ManitobaWestern UniversityHospital for Sick ChildrenToronto General HospitalUniversity Health NetworkUniversity of TorontoChildren's Hospital of Western OntarioLondon Health Sciences Centre
FundersUniversity of Colorado School of Medicine, Anschutz Medical CampusNational Institute of Diabetes and Digestive and Kidney DiseasesSchool of Medicine, Emory UniversityNational Institutes of HealthIpsenCliniques Universitaires Saint-LucUniversität InnsbruckUniversité Paris-SaclayHospital for Sick ChildrenSchool of Medicine, Stanford UniversityFudan UniversityPerelman School of Medicine, University of PennsylvaniaUniversity of UlsanAudentes TherapeuticsLudwig-Maximilians-Universität MünchenHorizon PharmaceuticalsIpsen BiopharmaceuticalsAlexion PharmaceuticalsYale UniversityVirginia Commonwealth UniversityNational Natural Science Foundation of ChinaAlagille Syndrome AllianceUniversity of PittsburghMedizinische Universität InnsbruckChildren's Healthcare of AtlantaSarepta TherapeuticsUniversity of PennsylvaniaSeattle Children's Research InstituteEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentKarolinska InstitutetInstitut National de la Santé et de la Recherche MédicaleAssistance publique-Hôpitaux de ParisUniversity of MinnesotaEmory UniversityNational Center for Child Health and DevelopmentChildren's Hospital of Philadelphia
KeywordsJAG1Alagille syndromeHaploinsufficiencyBiologyCohortPhenotypeDiseaseGeneticsNotch signaling pathwayMedicineInternal medicineGeneEndocrinology

Abstract

fetched live from OpenAlex

BACKGROUND & AIMS: Alagille syndrome (ALGS) is a rare, autosomal dominant disorder with high phenotypic heterogeneity. Disease-causing variants are primarily identified in Jagged1 (JAG1), with fewer reported in NOTCH2. JAG1 variants cause disease through a mechanism of haploinsufficiency, but the mechanism for NOTCH2 variants is not completely understood, making classification of variants more challenging. Using a large, international patient cohort acquired through the Global ALagille Alliance (GALA) study, we sought to improve classification of NOTCH2 variants and study phenotypic differences between NOTCH2- and JAG1-related disease. METHODS: Clinical and molecular data from 952 individuals with ALGS in GALA were analysed and disease features compared between those with JAG1 (n = 902) and NOTCH2 (n = 34) variants. Previously reported and newly identified NOTCH2 variants were reinterpreted based on disease-specific modifications to the American College of Medical Genetics and Genomics (ACMG) guidelines. The Kaplan-Meier method was utilised to assess native liver survival (NLS) and overall survival (OS) and gene comparisons were made with the log-rank test. RESULTS: Thirty NOTCH2 variants, including 18 novel variants, were identified and classified in our GALA cohort. Phenotypic analyses revealed a significantly lower incidence of characteristic facies, posterior embryotoxon, cardiac involvement and butterfly vertebrae in individuals with NOTCH2 variants compared to those with JAG1 variants (p < 0.001). No differences were identified in NLS or OS. Review of 61 previously reported NOTCH2 variants resulted in the re-classification of 19 likely pathogenic or pathogenic to VOUS (31.1%) with less than half retaining their originally published classification (34.4%; n = 21). CONCLUSIONS: We report on a large global study on NOTCH2 genetics and phenotype, which increases the number of reported NOTCH2 variants by 30%. All variants were reclassified using current guidelines, and comparison of the JAG1 and NOTCH2 cohorts demonstrates clear phenotypic divergence between these groups. These data suggest that reliance on classical clinical phenotyping may miss patients with NOTCH2-related disease and supports an inclusive approach to genetic testing.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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 score0.010
Threshold uncertainty score0.731

Codex and Gemma teacher scores by category

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

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 head0.045
GPT teacher head0.303
Teacher spread0.259 · 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 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

Citations3
Published2025
Admission routes2
Has abstractyes

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