Site‐specific cytosine methylation in S‐COMT promoter in 31 brain regions with implications for studies involving schizophrenia
Bibliographic record
Abstract
The catechol-o-methyltransferase (COMT) gene on chromosome 22q11 has been considered a strong candidate gene for schizophrenia (SZ) susceptibility. A functional Val/Met polymorphism in exon 4, with potential to affect COMT activity has been implicated in SZ, but the results remain inconclusive. We hypothesized that the association of COMT gene with SZ is not strictly a genetic alteration but could involve DNA methylation, as an epigenetic alteration. Thus, we chose to examine the cytosine DNA methylation profile of the human COMT promoter regions, which partially overlaps with the MB-COMT coding region and covers a total of 56 cytosines. Our analysis of 31 brain regions and 51 individual blood samples suggests that the cytosine methylation in his region is restricted to the CpG dinucleotides only. Also, the methylation pattern is nearly identical in the brain and blood with few exceptions. One cytosine (#27) is partially methylated in 5 brain regions and another cytosine (#23) is partially methylated in 81 of 82 samples studied. The exception being the blood DNA from a single SZ patient with prominent extreme negative symptoms, which was completely methylated. Interestingly, there was no difference in methylation at these sites in the blood DNA from three pairs of monozygotic twins discordant for SZ. The results support the use of blood DNA in methylation studies and rule out S-COMT promoter methylation as a common cause of SZ. The unique observation of a completely methylated cytosine 23 in one patient with SZ may have the potential to affect COMT mRNA transcription and gene activity, but remains to be evaluated.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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.
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".