The DOI matches its Crossref record.
Low Penetrance in the Long-QT Syndrome: Clinical Impact
Open accessAbstract
Background —It is still currently held that most patients affected by the long-QT syndrome (LQTS) show QT interval prolongation or clinical symptoms. This is reflected by the assumption in linkage studies of a penetrance of 90%. We had previously suggested that a larger-than-anticipated number of LQTS patients might be affected without showing clinical signs. We have now exploited the availability of molecular diagnosis to test this hypothesis. Methods and Results —We identified 9 families with “sporadic” cases of LQTS, ie, families in which, besides the proband, none of the family members had clinical signs of the disease. Mutation screening by conventional single-strand conformational polymorphism and sequencing was performed on DNA of probands and family members to identify mutation carriers. Of 46 family members considered on clinical grounds to be nonaffected, 15 (33%) were found instead to be gene carriers. Penetrance was found to be 25%. In these families, conventional clinical diagnostic criteria had a sensitivity of only 38% in correctly identifying carriers of the genetic defect. Conclusions —This study demonstrates that in some families, LQTS may appear with a very low penetrance, a finding with multiple clinical implications. The family members considered to be normal and found to be silent gene carriers are unexpectedly at risk of generating affected offspring and also of developing torsade de pointes if exposed to either cardiac or noncardiac drugs that block potassium channels. It is no longer acceptable to exclude LQTS among family members of definitely affected patients on purely clinical grounds. Conversely, it now appears appropriate to perform molecular screening in all family members of genotyped patients.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Drug-induced prolongation of the QT interval
Roden, D. M. (2004) · New England Journal of Medicine · doi:10.1056/nejmra032426 · Cited by 1,965
Priori, S. G., Napolitano, C., Tiso, N., Memmi, M., Vignati, G., Bloise, R., Sorrentino, V., & Danieli, G. A. (2001) · Circulation · doi:10.1161/01.cir.103.2.196 · Cited by 1,378
Self-citationMaron, B. J., Chaitman, B. R., Ackerman, M. J., Bayés de Luna, A., Corrado, D., Crosson, J. E., Deal, B. J., Driscoll, D. J., Estes, N. A. M., Araújo, C. G. S., et al. (2004) · Circulation · doi:10.1161/01.cir.0000128363.85581.e1 · Cited by 591
Haverkamp*, W. (2000) · Cardiovascular Research · doi:10.1016/s0008-6363(00)00119-x · Cited by 486
Disease characterization using LQTS-specific induced pluripotent stem cells
Egashira, T., Yuasa, S., Suzuki, T., Aizawa, Y., Yamakawa, H., Matsuhashi, T., Ohno, Y., Tohyama, S., Okata, S., Seki, T., et al. (2012) · Cardiovascular Research · doi:10.1093/cvr/cvs206 · Cited by 178
Macrolide Antibiotics and the Risk of Cardiac Arrhythmias
Albert, R. K., & Schuller, J. L. (2014) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201402-0385ci · Cited by 163
Re-trafficking of hERG reverses long QT syndrome 2 phenotype in human iPS-derived cardiomyocytes
Mehta, A., Sequiera, G. L., Ramachandra, C. J. A., Sudibyo, Y., Chung, Y., Sheng, J., Wong, K. Y., Tan, T. H., Wong, P., Liew, R., et al. (2014) · Cardiovascular Research · doi:10.1093/cvr/cvu060 · Cited by 110
Kaufman, E. S. (2009) · Heart Rhythm · doi:10.1016/j.hrthm.2009.02.009 · Cited by 104
Long QT Syndrome Modelling with Cardiomyocytes Derived from Human-induced Pluripotent Stem Cells
Sala, L., Gnecchi, M., & Schwartz, P. J. (2019) · Arrhythmia & Electrophysiology Review · doi:10.15420/aer.2019.1.1 · Cited by 54
Self-citation
Metadata
- Authors
- Priori, S. G., Napolitano, C., & Schwartz, P. J.
- Venue
- Circulation
- Published
- 1999-02-02
- Volume
- 99
- Issue
- 4
- Pages
- 529-533
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2008125074
- Cited by
- 804
- References
- 0
- FWCI
- 28.74
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.