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Record W4416850442 · doi:10.1186/s13024-025-00907-z

Domain mapping of disease mutations reveals pathogenic SORL1 variants in Alzheimer’s disease

2025· article· en· W4416850442 on OpenAlexaff
Olav M. Andersen, Matthijs W. J. de Waal, Giulia Monti, Niccoló Tesi, Anne Mette G. Jensen, Christa de Geus, Rosalina van Spaendonk, Maartje J. Vogel, Shahzad Ahmad, Najaf Amin, Philippe Amouyel, Gary W. Beecham, Céline Bellenguez, Claudine Berr, Joshua C. Bis, Anne Boland, Paola Bossù, Femke H. Bouwman, José Brás, Camille Charbonnier, Jordi Clarimón, Carlos Cruchaga, Antonio Daniele, Jean‐François Dartigues, Stéphanie Debette, Jean‐François Deleuze, Nicola Denning, Anita L. DeStefano, Oriol Dols‐Icardo, Cornelia M. van Duijn, Lindsay A. Farrer, María Victoria Fernández, Wiesje M. van der Flier, Nick C. Fox, Daniela Galimberti, Emmanuelle Génin, Benjamin Grenier‐Boley, Detelina Grozeva, Yann Le Guen, Rita Guerreiro, Jonathan L. Haines, Clive Holmes, Holger Hummerich, M. Arfan Ikram, M. Kamran Ikram, Amit Kawalia, Robert Kraaij, Jean‐Charles Lambert, M Lathrop, Afina W. Lemstra, Alberto Lleó, R Myers, Marcel M. A. M. Mannens, Iain Marshall, Eden R. Martin, Carlo Masullo, Richard Mayeux, Simon Mead, Patrizia Mecocci, Alun Meggy, Merel O. Mol, Benedetta Nacmias, Adam C. Naj, Valerio Napolioni, J. Nicholas Cochran, Gaël Nicolas, Florence Pasquier, Pau Pástor, Margaret A. Pericak-Vance, Yolande A.L. Pijnenburg, Fabrizio Piras, Olivier Quenez, Alfredo Ramı́rez, Rachel Raybould, Richard Redon, Marcel J. T. Reinders, Anne‐Claire Richard, Steffi G. Riedel‐Heller, Fernando Rivadeneira, Jeroen van Rooij, Stéphane Rousseau, Natalie S. Ryan, Pascual Sánchez‐Juan, Gerard D. Schellenberg, Philip Scheltens, Jonathan M. Schott, Sudha Seshadri, Daoud Sie, Rebecca Sims, Erik A. Sistermans, Sandro Sorbi, John C. van Swieten, Betty M. Tijms, André G. Uitterlinden, Pieter Jelle Visser, Michael Wagner, David Wallon, Li‐San Wang, Julie Williams, Jennifer S. Yokoyama, Aline Zaréa, Sven J. van der Lee, Johan G. Olsen, Marc Hulsman, Henne Holstege

Bibliographic record

VenueMolecular Neurodegeneration · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Rare Diseases
Canadian institutionsMcGill University and Génome Québec Innovation Centre
FundersNederlandse Organisatie voor Wetenschappelijk OnderzoekNational Heart, Lung, and Blood InstituteZonMw
KeywordsMissense mutationDiseaseNeurologyHuman geneticsCoding regionGenetic heterogeneity

Abstract

fetched live from OpenAlex

BACKGROUND: Protein truncating variants (PTVs) in SORL1 are observed almost exclusively in Alzheimer’s Disease (AD) cases, but the effect of rare SORL1 missense variants is unclear. METHODS: To identify high-priority missense variants (HPVs), we applied ‘domain mapping of disease mutations’ for the 637 unique coding SORL1 variants detected in 18,959 AD-cases and 21,893 non-demented controls. RESULTS: In this sample, PTVs and HPVs associated with respectively a 35- and 10-fold increased risk of early onset AD and 17- and 6-fold increased risk of overall AD. The median age at onset (AAO) of PTV- and HPV-carriers was 62 and 64 years, and APOE-genotype contributed to AAO-variability. The median AAO of PTV- and HPV-carriers is ~8–10 years earlier than wild-type SORL1 carriers, matched for APOE-genotype. Specific HPVs are highly penetrant and lead to earlier AAOs than PTVs, suggesting possible dominant negative effects. CONCLUSION: Our results justify a debate on whether HPV carriers should be considered for clinical counseling.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.649
Threshold uncertainty score0.732

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 head0.010
GPT teacher head0.244
Teacher spread0.234 · 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 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

Citations1
Published2025
Admission routes1
Has abstractyes

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