The distinct HERG missense mutation L564P causes long QT syndrome in one French Canadian family.
Bibliographic record
Abstract
BACKGROUND: Long QT syndrome is a congenital abnormality of cardiac repolarization causing syncope and sudden death from ventricular tachyarrhythmias known as torsades de pointes. This hereditary cardiac disorder often shows an increase of the value of the QT interval corrected for heart rate over 0.45 s in a 12-lead electrocardiogram. OBJECTIVE: To find and identify pertinent mutations occurring in French Canadians by extracting genomic DNA from blood samples and performing a combination of polymerase chain reaction (PCR), single-strand conformational polymorphism and DNA sequencing. RESULTS: A novel mutation was identified in the S5 region of the HERG potassium channel. In codon 564 CTA, T was replaced by C, resulting in a leucine to proline substitution. Two family members had the mutation in two distinct generations. A new restriction site was created at this position and therefore enabled the development of a rapid diagnostic test using PCR. HERG wild type and mutant potassium channel mRNAs were then expressed in Xenopus laevis oocytes. CONCLUSION: This electrophysiological study suggests that coexpression of HERG wild type and mutant L564P results in a dominant negative effect of the mutation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".