A linkage analysis of the CTLA4 gene region in Finnish patients with type 1 diabetes
Bibliographic record
Abstract
The cytotoxic T-lymphocyte antigen 4 (CTLA4) region on 2q33 has been shown to be linked to, and associated with, type 1 diabetes (T1D) and suggested to be one of the loci contributing to diabetes aetiology. The polymorphisms responsible for the effect are yet not defined, and the findings reported for the known markers have been discrepant in various populations. We analysed 15 markers around the CTLA4 gene in 138 Finnish affected sib-pair families. A maximum multipoint LOD score (MMLS) of 0.83 at the CTLA4-(AT)n microsatellite was obtained for the whole data set. When stratified, the MMLS increased to 2.61 in the IBS2 (identical by state 2) dataset. In a transmission/disequilibrium test (TDT), some sex-specific effects were observed in transmissions of alleles of CTLA4-(AT)n and D2S105 in siblings. The transmission of the CTLA4 +49 A/G single nucleotide polymorphism (SNP) did not deviate from the expected frequency in this study. In conclusion, our study confirms the linkage of the CTLA4 region to T1D in the Finnish population. In addition, the observations suggest that the polymorphism actually involved in the disease is not the CTLA4 +49 A/G SNP but a polymorphism in linkage disequilibrium with CTLA4 markers and probably closer to CTLA4-(AT)n than to the CTLA4 +49 A/G SNP.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| 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".