Key result
Next-generation sequencing identifies mutations in ~30% of patients referred for LQTS.
Why the study?
The diagnostic yield and clinical utility of sequencing-based genetic testing in patients referred for Long QT syndrome were not fully characterized.
What is the diagnostic yield of next-generation sequencing genetic testing in patients referred for Long QT syndrome?
Observational (n=855)
What is the diagnostic yield of next-generation sequencing genetic testing in patients referred for Long QT syndrome?
Next-generation sequencing for Long QT syndrome identifies disease-causing mutations in 30.3% of referred patients, with diagnostic yield significantly predicted by longer QTc duration and family history.
30% yield in referred LQTS cases; supports QTc- and family history-guided testing but leaves prospective validation open.
AIM: Our aim was to examine the diagnostic yield of genetic testing in 855 consecutive unrelated cases referred for Long QT syndrome (LQTS). RESULTS: Eight hundred fifty five consecutive patients with a mean age at testing of 27.5±18.6 years, were referred for LQTS genetic testing and had accompanying clinical information. KCNQ1, KCNH2, SCN5A, ANK2, KCNE1, KCNE2, CACNA1C, KCNJ2, CAV3, and SCN4B were analyzed using Next-Generation sequencing in all patients, and 395 patients were also tested for an additional two genes, AKAP9 and SNTA1. We retrospectively analyzed the diagnostic yield of this genetic test and factors that predicted the likelihood of a disease causing mutation using ANOVA, χ2, t-test, and receiver operator curves. At least one mutation was identified in 30.3% of the patients (n=259), and 18 patients (2.1%) had two mutations. Patients with two mutations had a longer QTc interval (p<0.01) than patients with one mutation. A longer QTc duration and family history of LQTS were each associated with a higher yield of positive results on genetic testing (p<0.01 for each). Using a QTc cutoff of 476 msec or greater, the genetic testing had a sensitivity of 72% and a specificity of 49%. Mutations within the transmembrane domain of KCNQ1 were associated with a greater risk of cardiac arrest and syncope relative to mutations in other domains of the gene. Mutations in SCN5A were associated with a higher frequency of cardiac arrest (52.6%). CONCLUSION: Sequencing-based genetic testing has a sensitivity of 72% and has clinical utility.
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Lieve et al. (2013) conducted an observational in Long QT syndrome (n=855). Genetic testing (Next-Generation sequencing) was evaluated on Diagnostic yield (identification of at least one mutation). Genetic testing using Next-Generation sequencing identified at least one mutation in 30.3% of patients referred for Long QT syndrome, with 72% sensitivity using a QTc cutoff ≥476 msec.
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