Novel exon 1 mutations in <i>MECP2</i> implicate isoform MeCP2_e1 in classical Rett syndrome
Bibliographic record
Abstract
Rett syndrome (RTT) is a neurodevelopmental disorder caused by mutations in the X-linked MECP2 gene. Recently, a new MeCP2 isoform was described, MeCP2_e1, which skips exon 2 and has an alternative N-terminus, translated from exon 1, whereas MeCP2_e2 is translated from a start codon in exon 2. Since the incorporation of exon 1 into standard sequencing protocols for RTT, few exon 1 mutations have been described and are thus assumed to be only rare causes of RTT. Also, studies have suggested that the frameshift mutations identified in exon 1 affect both isoforms. Our aim in this study was to assess the frequency of mutations in exon 1, their relationship to phenotype, and the implications on the etiological role for the isoform MeCP2_e1 in RTT, versus the previously described isoform, MeCP2_e2. We sequenced MECP2 in 51 females with various clinical presentations, including developmental delay, autism, atypical and classical RTT, referred to our laboratories for testing. In patients with identified mutations, X-chromosome inactivation was analyzed. We identified four patients with exon 1 mutations; three were novel (c.1A > T; c.1A > G; c.5C > T), two of which affected the start codon, one a missense change, and one patient had a previously reported splice site mutation, c.62 + 1delGT. The four patients fit criteria for classical RTT, and thus these findings add support to previous reports that exon 1 mutations may be associated with a severe phenotype. Also, these findings add significant weight to the mounting evidence suggesting that the MeCP2_e1 isoform is the etiologically relevant form of the protein.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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.
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 source (direct Gemma or distilled Codex), not a consensus.
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".