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Record W4220833543 · doi:10.1016/j.celrep.2022.110517

Drosophila functional screening of de novo variants in autism uncovers damaging variants and facilitates discovery of rare neurodevelopmental diseases

2022· article· en· W4220833543 on OpenAlexfundno aff
Paul C. Marcogliese, Samantha L. Deal, Jonathan C. Andrews, J. Michael Harnish, Venkata Hemanjani Bhavana, Hillary K. Graves, Sharayu Jangam, Xi Luo, Ning Liu, Danqing Bei, Yu-Hsin Chao, Brooke Hull, Pei-Tseng Lee, Hongling Pan, Pradnya Bhadane, Mei‐Chu Huang, Colleen M Longley, Hsiao‐Tuan Chao, Hyung-Lok Chung, Nele A Haelterman, Oguz Kanca, Sathiyanarayanan Manivannan, Linda Rossetti, Ryan J. German, Amanda Gerard, Eva Maria Christina Schwaibold, Sarah Fehr, Renzo Guerrini, Annalisa Vetro, Eleina England, Chaya N. Murali, Tahsin Stefan Barakat, Marieke F. van Dooren, Martina Wilke, Marjon van Slegtenhorst, Gaëtan Lesca, Isabelle Sabatier, Nicolas Chatron, Catherine A. Brownstein, Jill A. Madden, Pankaj B. Agrawal, Boris Keren, Thomas Courtin, Laurence Perrin, Melanie Brügger, Timo Roser, Steffen Leiz, Frédéric Tran Mau‐Them, Julian Delanne, Elena Sukarova-Angelovska, Slavica Trajkova, Erik Rosenhahn, Vincent Strehlow, Konrad Platzer, Roberto Keller, Lisa Pavinato, Alfredo Brusco, Jill A. Rosenfeld, Ronit Marom, Michael F. Wangler, Shinya Yamamoto

Bibliographic record

VenueCell Reports · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsnot available
FundersNational Institute of Neurological Disorders and StrokeNational Institute of General Medical SciencesNational Institute of Mental HealthCanadian Institutes of Health ResearchNational Eye InstituteIntellectual and Developmental Disabilities Research CenterNational Institutes of HealthRegione ToscanaMinistero dell’Istruzione, dell’Università e della RicercaNational Human Genome Research InstituteNederlandse Organisatie voor Wetenschappelijk OnderzoekEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentBroad InstituteRobert and Janice McNair FoundationZonMwSimons Foundation Autism Research InitiativeOffice of Research Infrastructure Programs, National Institutes of HealthDipartimenti di EccellenzaAmerican Academy of NeurologyWarren Alpert Foundation
KeywordsPhenotypeAutism spectrum disorderAutismGeneticsBiologyMissense mutationGeneNeurodevelopmental disorderCandidate geneNeuroscienceMedicinePsychiatry

Abstract

fetched live from OpenAlex

Individuals with autism spectrum disorder (ASD) exhibit an increased burden of de novo mutations (DNMs) in a broadening range of genes. While these studies have implicated hundreds of genes in ASD pathogenesis, which DNMs cause functional consequences in vivo remains unclear. We functionally test the effects of ASD missense DNMs using Drosophila through "humanization" rescue and overexpression-based strategies. We examine 79 ASD variants in 74 genes identified in the Simons Simplex Collection and find 38% of them to cause functional alterations. Moreover, we identify GLRA2 as the cause of a spectrum of neurodevelopmental phenotypes beyond ASD in 13 previously undiagnosed subjects. Functional characterization of variants in ASD candidate genes points to conserved neurobiological mechanisms and facilitates gene discovery for rare neurodevelopmental diseases.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.637
Threshold uncertainty score0.421

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 head0.007
GPT teacher head0.227
Teacher spread0.220 · 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

Citations52
Published2022
Admission routes1
Has abstractyes

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