Apolipoprotein B gene mutation related to familial hypercholesterolemia in an Iranian population
Bibliographic record
Abstract
Background: Familial hypercholesterolemia (FH) leads to elevated low-density lipoprotein cholesterol (LDL-C) levels in plasma. Mutations of its related gene; apolipoprotein B (APOB) is seen in about two percent of the patient with FH. Thyroid disease is usually part of the exclusion criteria for the detection of FH which alters the lipid profile. We evaluated mutations in the APOB gene in patients with high LDL-C levels. Materials and Methods: Patients aged between 2 and 80 years with at least one LDL-C level of more than 190 mg/dl were selected (120 patients) from Isfahan Laboratories. Blood samples were obtained from all patients. Genomic DNA was extracted. Primer sequences were designed by Oligo 7.60 to amplify the desired 844 bp region of exon 26 of the APOB gene containing R3500Q and R3500W variants associated with FH. Results: Overall, two patients showed a heterozygous form of a common pathogenic variant in exon 26 named c. 10579 C > T (R3500W, cDNA.10707), and one patient was hypothyroidism. We also recognized another nonpathognomonic variant c. 10913G > A (rs1801701, cDNA.11041) in 13 patients, two of them were hypothyroidism. Conclusion: This study for the first time shows the coexistence of APOB mutation in hypothyroidism, which emphasis screening of patients with hypothyroid for FH detection.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| 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".