Investigation of the HIN200 Locus in UK SLE Families Identifies Novel Copy Number Variants
Bibliographic record
Abstract
We undertook a candidate locus study of the HIN200 gene cluster on 1q21-23 in UK systemic lupus erythematosus (SLE) families. To date, despite mounting evidence demonstrating the importance of these proteins in autoimmune disease, cancer, apoptosis, inflammation, and cell cycle arrest, there has been a dearth of data with respect to the genetic characterisation of the HIN200 locus in SLE or any other disease. We typed 83 single nucleotide polymorphisms (SNPs) across 317 kb of the HIN200 cluster in 428 UK SLE families and sought replication from a European-American lupus cohort. We do not find strong evidence of SNP association in either cohort. Interestingly, we do observe a trend for association with certain HIN200 SNPs and serologic subphenotypes in UK SLE that parallels the association of lupus antibodies with the orthologous murine locus. Furthermore, we find the HIN200 locus to be unexpectedly complex in terms of genetic structural organisation. We have identified a number of copy number variants (CNVs) in this region in healthy French males, HapMap samples, and UK SLE families. In summary, candidate interferon signalling genes show evidence of common CNV in human SLE and healthy subjects. The impact of these CNVs in health and disease remains to be determined.
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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 | 0.003 |
| 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) | 0.003 | 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".