A linkage study of 12 IDDM susceptibility loci in the Finnish population
Bibliographic record
Abstract
BACKGROUND: HLA region is the major locus (IDDM1) of type 1 diabetes (T1D) susceptibility. It explains approximately 50% of the genetic background of T1D, indicating additional genetic determinants. Genome scans and candidate gene studies have generated several chromosomal candidate regions that may have a role in T1D development. METHODS: We tested 12 of these loci for linkage in 107 Finnish T1D multiplex families using 23 microsatellite markers and 2 SNPs. Families were stratified according to the HLA status and sharing at the DQB1 gene. RESULTS: We found no significant or suggestive MLS in our unstratified families outside the IDDM1 locus. The highest MLS was seen close to the IDDM9 region marker D3S3576 at 3q21-q25 (MLS=1.05). This marker also had a global p-value of 0.0032 (ETDT) in maternal transmissions. IDDM6 and 12q12-q15 region showed MLS=1.1 and MLS=1.3 respectively in HLA-DQB1*0302/x (x is not equal to HLA-DQB1*02) stratified families. IDDM12 showed MLS=2.0 in HLA-DQB1 identical sib pairs. Linkage at IDDM12 was supported by a global p-value of 0.0006 (uncorrected) in ETDT. For IDDM2, p-values of 0.028 and 0.009 were observed in ETDT with MspI-2221 SNP in unstratified and HLA-DQB1*0302/x-stratified families respectively. CONCLUSIONS: Our results are consistent with previous findings of linkage or association to T1D at IDDM2, IDDM6, IDDM9, IDDM12 and 12q12-q15 regions but do not unambiguously confirm them. A larger sample set is required to gain statistical power needed to confirm our findings in the Finnish population.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".