High proportion of large genomic STK11 deletions in Peutz-Jeghers syndrome
Bibliographic record
Abstract
Germline mutations in the STK11 gene have been identified in 10-70% of patients with Peutz-Jeghers syndrome (PJS), an autosomal-dominant hamartomatous polyposis syndrome. A second locus was assumed in a large proportion of PJS patients. To date, STK11 alterations comprise mainly point mutations; only a small number of large deletions have been reported. We performed a mutation analysis for the STK11 gene in 71 patients. Of these, 56 met the clinical criteria for PJS and 12 were presumed to have PJS because of mucocutaneous pigmentation only or bowel problems due to isolated PJS polyps. No clinical information was available for the remaining three patients. By direct sequencing of the coding region of the STK11 gene, we identified point mutations in 37 of 71 patients (52%). We examined the remaining 34 patients by means of the multiplex ligation-dependent probe amplification (MLPA) method, and detected deletions in 17 patients. In four patients the deletion extended over all 10 exons, and in eight patients only the promoter region and exon 1 were deleted. The remaining deletions encompassed exons 2-10 (in two patients), exons 2-3, exons 4-5, or exon 8. When only patients who met the clinical criteria for PJS are considered, the overall mutation detection rate increases to 94% (64% point mutations and 30% large deletions). No mutation was identified in any of the 12 presumed cases. In conclusion, we found that approximately one-third of the patients who met the clinical PJS criteria exhibited large genomic deletions that were readily detectable by MLPA. Screening for point mutations and large deletions by direct sequencing or MLPA, respectively, increased the mutation detection rate in the STK11 gene up to 94%. There may be still other mutations in the STK11 gene that are not detectable by the methods applied here. Therefore, it is questionable whether a second PJS locus exists at all.
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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 | 0.002 |
| 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 | 0.001 |
| 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".