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Brain monoamine vesicular transport disease caused by homozygous SLC18A2 variants: A study in 42 affected individuals
Ken Saida, Reza Maroofian, Toru Sengoku, Tadahiro Mitani, Alistair T. Pagnamenta, Dana Marafi, Maha S. Zaki, Thomas O’Brien, Ehsan Ghayoor Karimiani, Rauan Kaiyrzhanov, Marina Takizawa, Sachiko Ohori, Huey Yin Leong, Gülsen Akay, Hamid Galehdari, Mina Zamani, Ratna Romy, Christopher J. Carroll, Mehran Beiraghi Toosi, Farah Ashrafzadeh, Shima Imannezhad, Hadis Malek, Najmeh Ahangari, Hoda Tomoum, Vykuntaraju K. Gowda, Varunvenkat M. Srinivasan, David Murphy, Natalia Dominik, Hasnaa M. Elbendary, Karima Rafat, Sanem Yılmaz, Seda Kanmaz, Deepa Krishnakumar, Alice Gardham, Anna Maw, Tekki Sreenivasa Rao, Sarah Alsubhi, Myriam Srour, Daniela Buhaş, Tamison Jewett, Rachel Goldberg, Hanan E. Shamseldin, Eirik Frengen, Doriana Misceo, Petter Strømme, José Ricardo Magliocco Ceroni, Chong Ae Kim, Gözde Yeşil, Esma Şengenç, Serhat Güler, Mariam Hull, Mered Parnes, Dilek Aktaş, Banu Anlar, Yavuz Bayram, Davut Pehli̇van, Jennifer E. Posey, Shahryar Alavi, Seyed Ali Madani Manshadi, Hamad Alzaidan, Mohammad Al-Owain, Lama AlAbdi, Ferdous Abdulwahab, Futoshi Sekiguchi, Kohei Hamanaka, Atsushi Fujita, Yuri Uchiyama, Takeshi Mizuguchi, Satoko Miyatake, Noriko Miyake, Reem M. Elshafie, Kamran Salayev, Ulviyya Guliyeva, Fowzan S. Alkuraya, Joseph G. Gleeson, Kristin G. Monaghan, Katherine G. Langley, Hui Yang, Mahsa Motavaf, Saeid Safari, Mozhgan Alipour, Kazuhiro Ogata, André EX Brown, James R. Lupski, Henry Houlden, Naomichi Matsumoto
Bibliographic record
VenueGenetics in Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsMcGill Genome CentreMcGill University Health CentreMcGill University
FundersNational Institute of Neurological Disorders and StrokeUniversity College London Hospitals Biomedical Research CentreNational Human Genome Research InstituteHorizon 2020European Research CouncilInternational Rett Syndrome FoundationAtaxia UKMedical Research CouncilRosetrees TrustNational Institutes of HealthUniversity College LondonGreat Ormond Street Hospital CharityNational Institute for Health and Care ResearchBrain Research UKBaylor-Hopkins Center for Mendelian GenomicsEuropean CommissionMultiple System Atrophy TrustJapan Society for the Promotion of ScienceHorizon 2020 Framework ProgrammeJapan Agency for Medical Research and DevelopmentMuscular Dystrophy UKNational Institute of General Medical SciencesAmerican Academy of NeurologyNational Heart, Lung, and Blood InstituteAmerican Brain FoundationTakeda Science FoundationMuscular Dystrophy AssociationJohns Hopkins UniversityKing Salman Center for Disability Research
KeywordsExome sequencingMissense mutationPhenotypeDystoniaGenotypeAlleleMonoamine neurotransmitterInternal medicineDiseaseMedicineBiologyGeneticsEndocrinologySerotoninPsychiatry
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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 head0.018
GPT teacher head0.285
Teacher spread0.267 · 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.
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
Citations39
Published2022
Admission routes1
Has abstractno