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Genotype-Phenotype Aspects of Type 2 Long QT Syndrome
Open accessAbstract
Objectives To investigate the effect of location, coding type, and topology of KCNH2(hERG) mutations on clinical phenotype in Type-2 long-QT syndrome. Backgrounds Previous studies were limited by population size in their ability to examine phenotypic effect of location, type and topology. Methods Study subjects included 858 Type-2 long-QT syndrome patients with 162 different KCNH2 mutations in 213 proband-identified families. The Cox proportional-hazards survivorship model was used to evaluate independent contribution of clinical and genetic factors to the first cardiac events. Results For patients with missense mutations, the transmembrane pore (S5-loop-S6) and N-terminus regions were a significantly greater risk than the C-terminus region (HR=2.87 and 1.86, respectively), but the transmembrane non-pore (S1-S4) region was not (HR=1.19). Additionally, the transmembrane pore region was significantly riskier than the N-terminus or transmembrane non-pore regions (HR=1.54, 2.42). However, for non-missense mutations, these other regions were no longer riskier than the C-terminus (HR=1.13, 0.77 and 0.46, respectively). Likewise, subjects with non-missense mutations were at significantly higher risk than those with missense mutations in the C-terminus region (HR=2.00), but this was not the case in other regions. This mutation location-type interaction was significant (p-value=0.008). A significantly higher risk was found in subjects with mutations located in α-helical domains than in those with mutations in β-sheet domains or other locations (HR=1.74 and 1.33, respectively). Time-dependent β-blocker use was associated with a significant 63% reduction in the risk of first cardiac events (p<0.001). Conclusions KCNH2 missense mutations located in the transmembrane S5-loop-S6 region are associated with the greatest risk.
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Cited by
Priori, S. G., Wilde, A. A., Horie, M., Cho, Y., Behr, E. R., Berul, C., Blom, N., Brugada, J., Chiang, C.-E., Huikuri, H., et al. (2013) · Heart Rhythm · doi:10.1016/j.hrthm.2013.05.014 · Cited by 1,942
Self-citationShah, D., Prajapati, C., Penttinen, K., Cherian, R. M., Koivumäki, J. T., Alexanova, A., Hyttinen, J., & Aalto-Setälä, K. (2020) · Cells · doi:10.3390/cells9051153 · Cited by 31
Metadata
- Authors
- Shimizu, W., Moss, A. J., Wilde, A. A. M., Towbin, J. A., Ackerman, M. J., January, C. T., Tester, D. J., Zareba, W., Robinson, J. L., Qi, M., Vincent, G. M., Kaufman, E. S., Hofman, N., Noda, T., Kamakura, S., Miyamoto, Y., Shah, S., Amin, V., Goldenberg, I., Andrews, M. L., & McNitt, S.
- Venue
- Journal of the American College of Cardiology
- Publisher
- Elsevier BV
- Published
- 2009-11
- Volume
- 54
- Issue
- 22
- Pages
- 2052-2062
- ISSN
- 0735-1097 (ISSN-L)
- OpenAlex
- W2088779795
- Cited by
- 264
- References
- 0
- FWCI
- 12.06
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Shimizu, W., Moss, A. J., Wilde, A. A. M., Towbin, J. A., Ackerman, M. J., January, C. T., Tester, D. J., Zareba, W., Robinson, J. L., Qi, M., Vincent, G. M., Kaufman, E. S., Hofman, N., Noda, T., Kamakura, S., Miyamoto, Y., Shah, S., Amin, V., Goldenberg, I., . . . McNitt, S. (2009). Genotype-Phenotype Aspects of Type 2 Long QT Syndrome. Journal of the American College of Cardiology. https://doi.org/10.1016/j.jacc.2009.08.028
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