The Δ>15 Kb deletion French Canadian founder mutation in familial hypercholesterolemia: rapid polymerase chain reaction‐based diagnostic assay and prevalence in Quebec
Bibliographic record
Abstract
Approximately one in 500 individuals in Western population has autosomal dominant familial hypercholesterolemia due to mutations in the low-density lipoprotein receptor (LDLR) gene. Screening for these mutations is hampered by their large number, except in founder populations. We identified the breakpoint of the >15 kb deletion involving the LDLR gene promoter and exon 1, responsible for more than 60% of French Canadian hypercholesterolemia cases, as well as the breakpoint of the 5 kb deletion of exons 2 and 3 that accounts for an additional 5% of cases. Both deletions appear to be because of homologous recombination by unequal crossing-over between the left arms of Alu repeats. Using RepeatMasker, we determined that 55% of the LDLR gene is composed of Alu elements; thus, it is not surprising that most LDLR rearrangements involve at least one Alu. Furthermore, we developed a rapid polymerase chain reaction-based assay for the French Canadian-1 (>15 kb) and French Canadian-5 (5 kb) hypercholesterolemia alleles. Screening a representative population sample of 943 French Canadian youths whose LDL cholesterol levels were above the 50th percentile allowed us to estimate the prevalence of the >15 kb allele as 0.11% (95% confidence interval, 0.03-0.38).
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".