Genetic variation in toll‐like receptor 9 and susceptibility to systemic lupus erythematosus
Bibliographic record
Abstract
OBJECTIVE: Autoantibodies produced by differentiated B cells play an important role in the pathogenesis of systemic lupus erythematosus (SLE). The Toll-like receptor 9 (TLR-9) gene has recently emerged as an important costimulatory molecule for both B cells and dendritic cells that respond to chromatin immune complexes. Genetic variation affecting the function of TLR-9 may therefore increase or decrease the threshold of B cell or dendritic cell activation. This variability in activation threshold may, in turn, affect an individual's susceptibility to SLE. This study assessed the role of genetic variation within the TLR-9 gene in susceptibility to SLE. METHODS: We genotyped 362 SLE-affected subject/parent trios for 10 single-nucleotide polymorphisms (SNPs) covering a 68,742-bp genomic segment that contains the TLR-9 gene and approximately 60 kb of flanking sequence. We analyzed the data using the transmission disequilibrium test. RESULTS: There was no association of susceptibility to SLE with any of the 9 SNPs that generated usable data or the 8 haplotypes found at a frequency of >0.05 in this population. When analyzing the subset of 143 subjects with lupus nephritis, there was also no evidence of association between disease susceptibility and any SNP or haplotype. CONCLUSION: These results indicate that there is no evidence that common (frequency higher than 5%) alleles of the TLR-9 gene contribute significantly to the genetic risk involved in susceptibility to SLE or lupus nephritis.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.005 | 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".