MétaCan
Menu
Back to cohort
Record W4229030223 · doi:10.1038/s41467-022-30015-1

Heterozygous frameshift variants in HNRNPA2B1 cause early-onset oculopharyngeal muscular dystrophy

2022· article· en· W4229030223 on OpenAlexaff
Hong Joo Kim, Payam Mohassel, Sandra Donkervoort, Lin Guo, Kevin O’Donovan, Maura Coughlin, Xavière Lornage, Nicola Foulds, Simon Hammans, A. Reghan Foley, Charlotte M. Fare, Alice F. Ford, Masashi Ogasawara, Aki Sato, Aritoshi Iida, Pinki Munot, Gautam Ambegaonkar, Rahul Phadke, Dominic G. O’Donovan, Rebecca Buchert, Mona Grimmel, Ana Töpf, Irina Zaharieva, Lauren Brady, Ying Hu, Thomas E. Lloyd, Andrea Klein, Maja Steinlin, Alice Kuster, Sandra Mercier, Pascale Marcorelles, Yann Péréon, Emmanuelle Fleurence, Adnan Manzur, Sarah Ennis, Rosanna Upstill‐Goddard, Luca Bello, Cinzia Bertolin, Elena Pegoraro, Leonardo Salviati, Courtney E. French, Andriy Shatillo, F. Lucy Raymond, Tobias B. Haack, Susana Quijano‐Roy, Johann Böhm, Isabelle Nelson, Tanya Stojkovic, Teresinha Evangelista, Volker Straub, Norma B. Romero, Jocelyn Laporte, Francesco Muntoni, Ichizo Nishino, Mark A. Tarnopolsky, James Shorter, Carsten G. Bönnemann, J. Paul Taylor

Bibliographic record

VenueNature Communications · 2022
Typearticle
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsMcMaster UniversityHamilton Health SciencesHealth Sciences Centre
FundersNIH Clinical CenterNational Institute of Neurological Disorders and StrokeNational Institute of General Medical SciencesNational Heart, Lung, and Blood InstituteMedical Research CouncilSanofi GenzymeUniversity College LondonTarget ALSGreat Ormond Street Hospital for ChildrenKurt+Peter FoundationNational Eye InstituteNational Center of Neurology and PsychiatryFondation Maladies RaresNational Human Genome Research InstituteUltragenyx PharmaceuticalAlzheimer's AssociationLimb Girdle Muscular Dystrophy 2INational Institute on AgingUniversity of TokushimaNational Institute for Health and Care ResearchMassachusetts General HospitalNational Institutes of HealthRosetrees TrustNIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer ResearchSanofiBroad InstituteLimb Girdle Muscular Dystrophy 2i Research FundJapan Agency for Medical Research and DevelopmentALS AssociationEllison Medical FoundationU.S. Department of Health and Human ServicesHoward Hughes Medical Institute
KeywordsOculopharyngeal muscular dystrophyFrameshift mutationMuscular dystrophyGeneticsMedicineBiologyMutationGene

Abstract

fetched live from OpenAlex

Abstract Missense variants in RNA-binding proteins (RBPs) underlie a spectrum of disease phenotypes, including amyotrophic lateral sclerosis, frontotemporal dementia, and inclusion body myopathy. Here, we present ten independent families with a severe, progressive muscular dystrophy, reminiscent of oculopharyngeal muscular dystrophy (OPMD) but of much earlier onset, caused by heterozygous frameshift variants in the RBP hnRNPA2/B1. All disease-causing frameshift mutations abolish the native stop codon and extend the reading frame, creating novel transcripts that escape nonsense-mediated decay and are translated to produce hnRNPA2/B1 protein with the same neomorphic C-terminal sequence. In contrast to previously reported disease-causing missense variants in HNRNPA2B1 , these frameshift variants do not increase the propensity of hnRNPA2 protein to fibrillize. Rather, the frameshift variants have reduced affinity for the nuclear import receptor karyopherin β2, resulting in cytoplasmic accumulation of hnRNPA2 protein in cells and in animal models that recapitulate the human pathology. Thus, we expand the phenotypes associated with HNRNPA2B1 to include an early-onset form of OPMD caused by frameshift variants that alter its nucleocytoplasmic transport dynamics.

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 categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.002
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 head0.024
GPT teacher head0.332
Teacher spread0.308 · 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.

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

Citations43
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueNature CommunicationsSame topicNeurogenetic and Muscular Disorders ResearchFrench-language works237,207