Fine Mapping of the Schizophrenia Susceptibility Locus on Chromosome 1q22
Bibliographic record
Abstract
Schizophrenia is a serious neuropsychiatric illness estimated to affect approximately 1% of the general population. As part of a genome scan for schizophrenia susceptibility loci, we have previously reported a maximum heterogeneity four-point lod score of 6.50 on chromosome 1q21-22 in a group of 22 medium-sized Canadian families, selected for study because multiple relatives were clinically diagnosed with schizophrenia or schizoaffective disorder. We have now conducted fine mapping of this locus in the same set of individuals using 15 genetic markers spanning an approximately 15-cM interval. Parametric linkage analysis with GENEHUNTER v2.1 and VITESSE v2.0 produced a maximum multipoint heterogeneity lod score of 6.50, with a Zmax-1 support interval of <3 cM, corresponding to approximately 1 Mb. Physical mapping and sequence analysis from this region confirmed the presence of an approximately 81-kb tandem duplication, containing low-affinity IgG receptor genes and heat shock protein genes. The sequences of the two copies of this duplication are approximately 97% identical, which has led to the collapse of the two copies into one in the June 2002 NCBI Build 30 of the Human Genome. This duplication may be involved in genomic instability, leading to gene deletion, and so presents an intriguing candidate locus for schizophrenia susceptibility.
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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 | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".