The frequency of HLA-DQ7 in patients at risk of coeliac disease: A haplotype to be reckoned with for screening?
Bibliographic record
Abstract
HLA-DQ2 and -DQ8 carriers are genetically predisposed to develop coeliac disease (CD). Testing negative for HLA-DQ2/DQ8 has a high negative predictive value. Full HLA-DQ genotyping as well as tests only typing for HLA-DQ2/DQ8 are therefore used for screening at-risk populations. However, HLA-DQ7 positive and HLA-DQ2/DQ8 negative CD patients have been described in various populations. In this study we examine the relevance for HLA-DQ7 typing in a large at-risk CD population. The HLA-DQ status of all paediatric and adult patients at-risk of CD that were typed in a tertiary medical centre laboratory between 2012 and 2016 (n = 3983) was obtained. HLA-DQ7 (HLA-DQB1*03:01) positive and HLA-DQ2/DQ8 negative patients were selected. We gathered information on serology, histology and dietary status, and CD diagnosis. In total, 489/3983 patients were HLA-DQ7-positive and HLA-DQ2/DQ8 negative, and after exclusion (missing data on diet or serology/histology), 325 were included. Only one adult patient was diagnosed with CD, based on a duodenal biopsy and a clinical response to a gluten-free diet. Homozygosity was observed in 14.8 %. Based on the current cohort additional typing of HLA-DQ7 does not seem relevant for screening at-risk populations for CD in the Netherlands. It should be considered in patients with a high suspicion of CD.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".