Phenotypic variability and unusual clinical severity of congenital long-QT syndrome in a founder population
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Updated: Jul 9, 2026

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
Paul A Brink1, Lia Crotti, Valerie Corfield
1Department of Internal Medicine, University of Stellenbosch, South Africa.
Background:
In the congenital long-QT syndrome (LQTS), there can be a marked phenotypic heterogeneity. Founder effects, by which many individuals share a mutation identical by descent, represent a powerful tool to further understand the underlying mechanisms and to predict the natural history of mutation-associated effects. We are investigating one such founder effect, originating in South Africa in approximately ad 1700 and segregating the same KCNQ1 mutation (A341V).
Methods And Results:
The study population involved 320 subjects, 166 mutation carriers (MCs) and 154 noncarriers. When not taking beta-blocker therapy, MCs had a wide range of QTc values (406 to 676 ms), and 12% of individuals had a normal QTc (< or =440 ms). A QTc >500 ms was associated with increased risk for cardiac events (OR=4.22; 95% CI, 1.12 to 15.80; P=0.033). We also found that MCs with a heart rate <73 bpm were at significantly lower risk (OR=0.23; 95% CI, 0.06 to 0.86; P=0.035). This study also unexpectedly determined that KCNQ1-A341V is associated with greater risk than that reported for large databases of LQT1 patients: A341V MCs are more symptomatic by age 40 years (79% versus 30%) and become symptomatic earlier (7+/-4 versus 13+/-9 years, both P<0.001). Accordingly, functional studies of KCNQ1-A341V in CHO cells stably expressing IKs were conducted and identified a dominant negative effect of the mutation on wild-type channels.
Conclusions:
KCNQ1-A341V is a mutation associated with an unusually severe phenotype, most likely caused by the dominant negative effect of the mutation. The availability of an extended kindred with a common mutation allowed us to identify heart rate, an autonomic marker, as a novel risk factor.
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