Family association study of Transforming Growth Factor Beta1 gene polymorphisms in schizophrenia
Bibliographic record
Abstract
OBJECTIVES: Schizophrenia is a serious mental illness with chronic symptoms and significant impairment in psychosocial functioning. An etiopathological role for immunologic abnormalities in schizophrenia was hypothesized. Inflammatory markers are well-known etiological factors for psychiatric disorders, including schizophrenia. Several studies have investigated the possible effects of antipsychotics on inflammation and neurogenesis. Additionally, antiinflammatory adjuvant therapy has been under investigation as a treatment option for schizophrenia. Transforming Growth Factor Beta 1 (TGFB1) signaling is critical for many biological processes, including proliferation, development, differentiation and regeneration. Multiple members of the TGFB1 superfamily play a role in the developing nervous system and are regulated by neuronal activity. We conducted family-based study to assess whether TGFB1 gene is associated with susceptibility to schizophrenia in Polish population. METHODS: Two functional polymorphisms: rs1800469 (C-509T) and rs1800470 (T869C) of TGFB1 gene were analyzed within a group of 147 trios (patients diagnosed with schizophrenia and their healthy parents) using Transmission Disequilibrium Test (TDT). RESULTS: No association of these polymorphisms with schizophrenia was found in Polish population. CONCLUSIONS: Further studies on larger groups along with correlation with circulating protein levels are needed.
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 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".