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Record W4411569021 · doi:10.1093/genetics/iyaf121

Revealing function-altering MECP2 mutations in individuals with autism spectrum disorder using yeast and <i>Drosophila</i>

2025· article· en· W4411569021 on OpenAlexaff
Eric Chen, Jessica Schmitt, Graeme H. McIntosh, Barry P. Young, Tianshun Lian, Jie Liu, Kesong Chen, J. Liston, Lily MacDonald, B Wang, Sònia Medina Giró, Benjamin Boehme, Mriga Das, Seevasant Indran, Jesse T. Chao, Sanja Rogić, Paul Pavlidis, Douglas W. Allan, Christopher Loewen

Bibliographic record

VenueGenetics · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Neurodevelopmental Disorders
Canadian institutionsSunnybrook Health Science CentreCanada's Michael Smith Genome Sciences CentreUniversity of British Columbia
FundersNational Institutes of HealthSimons Foundation Autism Research Initiative
KeywordsBiologyGeneticsDrosophila (subgenus)Autism spectrum disorderMECP2MutationFunction (biology)AutismDrosophila melanogasterYeastGenePhenotypeDevelopmental psychology

Abstract

fetched live from OpenAlex

Pathogenic variants in MECP2 commonly lead to Rett syndrome, where MECP2's function as a DNA cytosine methylation reader is believed critical. MECP2 variants are also cataloged in individuals with autism spectrum disorder (ASD), including nine missense variants which had no known clinical significance at the start of this study. To assess these nine variants as risk alleles for ASD, we developed MECP2 variant functional assays using budding yeast and Drosophila. We calibrated these assays with known pathogenic and benign variants. Our data predict that four ASD variants are loss of function and five are functional. Protein destabilization offers insight into the altered function of some of these variants. Notably, yeast and Drosophila lack DNA methylation, yet all Rett pathogenic and ASD variants located in the methyl DNA-binding domain that we analyzed proved to be loss of function, suggesting a clinically relevant role for non-methyl DNA-binding by MECP2.

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 score0.577
Threshold uncertainty score0.632

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 head0.008
GPT teacher head0.232
Teacher spread0.224 · 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 routes1
Has abstractyes

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