Will, Melissa L.

Background Recently, genetic testing for sarcomeric hypertrophic cardiomyopathy (HCM) became a commercially available diagnostic test involving analysis of 8 HCM-associated myofilament genes, four of which encode thin filament proteins - TNNT2- encoded cardiac troponin T, TPM1 -encoded alpha tropomyosin, TNNI3- encoded cardiac troponin I, and ACTC- encoded cardiac actin. Compared to the two most common subtypes of sarcomeric HCM, much less is known about the prevalence and spectrum of thin filament HCM. Methods Comprehensive open reading frame/splice site mutational analysis of these 4 thin filament-encoding genes was performed, using polymerase chain reaction, denaturing high performance liquid chromatography, and direct DNA sequencing, on the largest assembled cohort of unrelated patients (N = 1025, 61% male, 49 ± 18 years at diagnosis, maximal left ventricular wall thickness, LVWT, 22.3 ± 7 mm) with clinically diagnosed HCM that were seen at the Mayo Clinic. Results Nineteen distinct missense mutations, involving conserved residues and absent in 600 reference alleles, were identified in 36 of 1025 patients (3.5%) including TNNT2 (16 patients), TNNI3 (12), TPM1 (7) and ACTC (1). Among these 36 patients with thin filament-HCM, their average age at diagnosis was 33.2 ± 16 years and the average LVWT was 21 ± 8 mm. Eighteen patients (50%) had evidence for familial HCM and 13% had a positive history for sudden cardiac death. Only 13 patients (36%) had a reverse septal curvature by echocardiography. Instead, 12 patients (34%) had either sigmoidal or neutral septal contours and 9 patients (25%) had apical variant-HCM. Conclusion Here, we present the largest cohort analysis of thin filament HCM to date and detail the prevalence and spectrum of HCM-associated mutations in these 4 genes. Compared to the strong association between reverse septal curvature and thick filament HCM, the septal morphology associated with thin filament HCM was quite varied. Contrary to published estimates of the frequency of troponin T-HCM (5 – 10%) and the other subtypes of thin filament HCM, the prevalence of thin filament HCM was very low in this cohort. If confirmed in other cohorts, a revised cascade for HCM genetic testing should be considered.

Introduction : Type 1 catecholaminergic polymorphic ventricular tachycardia (CPVT1) is pursuant to mutations in the RyR2- encoded cardiac ryanodine receptor. Recently, we discovered nearly as many CPVT1-causing mutations as LQT3-causing mutations in a large cohort of unrelated LQTS referral patients. Here, we examine potential predictors of RyR2 genotype (CPVT1) among LQTS referral patients. Methods : Previously, comprehensive mutational analysis of the LQT1–10 susceptibility genes was completed for 541 unrelated patients (358 females, average age at diagnosis = 24 years, average QTc = 482 ms) referred for LQTS genetic testing. Using PCR, DHPLC, and DNA sequencing, we performed targeted analysis of RyR2 involving 44 exons (8–15, 37–49, 83–105) for the 260 unrelated referrals (172 females, average age at diagnosis = 25 years, average QTc = 470 ms) that remained “genotype-negative” following LQTS genetic testing. Results : Overall, 22 distinct RyR2 mutations (19 novel) were seen in 23 (8.8%, 12 females, average age at diagnosis = 22 ±14 years) unrelated “genotype-negative” LQTS individuals. Compared to patients with either genetically proven LQTS or the remaining genotype negative cohort, the RyR2 -positive cohort had significantly lower average QTc (419 ms vs 494 ms, p =2.4 ×10 −6 ; vs 472 ms, p = 0.005) and was more likely to experience either syncope (88% vs 66%, p = 0.06 vs 53%, p = 0.008) or cardiac arrest (56% vs 23%, p = 0.006 vs 17%, p = 0.001). Overall, 123 of the 541 LQTS referrals (23%) exhibited exertion-induced cardiac events (68 LQTS gene positive; 42 gene negative, and 13 RyR2-positive). Every RyR2 -positive case with an exertionally-triggered event had a QTc ≤ 460 ms, compared to only 17% of LQTS gene positive cases (p = 0.1 × 10 −8 ) and 24% of LQT1 cases. None of the exertion-induced LQTS gene positive cases had a QTc ≤ 420 ms. Conclusions: Failure to distinguish CPVT from LQTS can be a fatal mistake, as individuals with CPVT1 have a more severe phenotype and are much less protected by beta blocker therapy than those with LQT1. CPVT1, rather than concealed LQT1, should lead the differential diagnosis in the setting of syncope/cardiac arrest during exercise and a normal resting QTc.

Background— Targeted postmortem genetic testing of the 4 major channelopathy-susceptibility genes ( KCNQ1 , KCNH2 , SCN5A , and RYR2 ) have yielded putative pathogenic mutations in ≤30% of autopsy-negative sudden unexplained death in the young (SUDY) cases with highest yields derived from the subset of exertion-related SUDY. Here, we evaluate the role of whole-exome sequencing in exertion-related SUDY cases. Methods and Results— From 1998 to 2010, 32 cases of exertion-related SUDY were referred by Medical Examiners for a cardiac channel molecular autopsy. A mutational analysis of the major long-QT syndrome–susceptibility genes ( KCNQ1 , KCNH2 , and SCN5A ) and catecholaminergic polymorphic ventricular tachycardia–susceptibility gene ( RYR2 ) identified a putative pathogenic mutation in 11 cases. Whole-exome sequencing was performed on the remaining 21 targeted gene–negative SUDY cases. After whole-exome sequencing, a gene-specific surveillance of all genes (N=100) implicated in sudden death was performed to identify putative pathogenic mutation(s). Three of these 21 decedents had a clinically actionable, pathogenic mutation (CALM2-F90L, CALM2-N98S, and PKP2-N634fs). Of the 18 remaining cases, 7 hosted at least 1 variant of unknown significance with a minor allele frequency <1:20 000. The overall yield of pathogenic mutations was higher among decedents aged 1 to 10 years (10/11, 91%) than those aged 11 to 19 years (4/21, 19%, P =0.0001). Conclusions— Molecular screening in this clinical scenario is appropriate with a pathogenic mutation detection rate of 44% using direct DNA sequencing followed by whole-exome sequencing. Only 5 of the 100 interrogated sudden death genes hosted actionable pathogenic mutations for more than one third of these exertion-related, autopsy-negative SUDY cases.

Background— Long-QT syndrome (LQTS) may result in syncope, seizures, or sudden cardiac arrest. Although 16 LQTS-susceptibility genes have been discovered, 20% to 25% of LQTS remains genetically elusive. Methods and Results— We performed whole-exome sequencing child–parent trio analysis followed by recessive and sporadic inheritance modeling and disease-network candidate analysis gene ranking to identify a novel underlying genetic mechanism for LQTS. Subsequent mutational analysis of the candidate gene was performed with polymerase chain reaction, denaturing high-performance liquid chromatography, and DNA sequencing on a cohort of 33 additional unrelated patients with genetically elusive LQTS. After whole-exome sequencing and variant filtration, a homozygous p.D18fs*13 TRDN -encoded triadin frameshift mutation was discovered in a 10-year-old female patient with LQTS with a QTc of 500 milliseconds who experienced recurrent exertion-induced syncope/cardiac arrest beginning at 1 year of age. Subsequent mutational analysis of TRDN revealed either homozygous or compound heterozygous frameshift mutations in 4 of 33 unrelated cases of LQTS (12%). All 5 TRDN-null patients displayed extensive T-wave inversions in precordial leads V 1 through V 4 , with either persistent or transient QT prolongation and severe disease expression of exercise-induced cardiac arrest in early childhood (≤3 years of age) and required aggressive therapy. The overall yield of TRDN mutations was significantly greater in patients ≤10 years of age (5 of 10, 50%) compared with older patients (0 of 24, 0%; P =0.0009). Conclusions— We identified TRDN as a novel underlying genetic basis for recessively inherited LQTS. All TRDN-null patients had strikingly similar phenotypes. Given the recurrent nature of potential lethal arrhythmias, patients fitting this phenotypic profile should undergo cardiac TRDN genetic testing.

Background— The KCNH2 or human ether-a-go-go related gene ( hERG ) encodes the Kv11.1 α-subunit of the rapidly activating delayed rectifier K + current ( I Kr ) in the heart. Type 2 congenital long-QT syndrome (LQT2) results from KCNH2 mutations that cause loss of Kv11.1 channel function. Several mechanisms have been identified, including disruption of Kv11.1 channel synthesis (class 1), protein trafficking (class 2), gating (class 3), or permeation (class 4). For a few class 2 LQT2-Kv11.1 channels, it is possible to increase surface membrane expression of Kv11.1 current ( I Kv11.1 ). We tested the hypotheses that (1) most LQT2 missense mutations generate trafficking-deficient Kv11.1 channels, and (2) their trafficking-deficient phenotype can be corrected. Methods and Results— Wild-type (WT)-Kv11.1 channels and 34 missense LQT2-Kv11.1 channels were expressed in HEK293 cells. With Western blot analyses, 28 LQT2-Kv11.1 channels had a trafficking-deficient (class 2) phenotype. For the majority of these mutations, the class 2 phenotype could be corrected when cells were incubated for 24 hours at reduced temperature (27°C) or in the drugs E4031 or thapsigargin. Four of the 6 LQT2-Kv11.1 channels that had a wild-type–like trafficking phenotype did not cause loss of Kv11.1 function, which suggests that these channels are uncommon sequence variants. Conclusions— This is the first study to identify a dominant mechanism, class 2, for the loss of Kv11.1 channel function in LQT2 and to report that the class 2 phenotype for many of these mutant channels can be corrected. This suggests that if therapeutic strategies to correct protein trafficking abnormalities can be developed, it may offer clinical benefits for LQT2 patients.

Background— Swimming is a relatively genotype-specific arrhythmogenic trigger for type 1 long-QT syndrome (LQT1). We hypothesize that mimickers of concealed LQT1, namely catecholaminergic polymorphic ventricular tachycardia (CPVT), may also underlie swimming-triggered cardiac events. Methods and Results— Between August 1997 and May 2003, 388 consecutive, unrelated patients were referred specifically for LQTS genetic testing. The presence of a personal and/or family history of a near-drowning or drowning was determined by review of the medical records and/or phone interviews and was blinded to genetic test results. Comprehensive mutational analysis of the 5 LQTS-causing channel genes, KCNQ1 (LQT1), KCNH2 (LQT2), SCN5A (LQT3), KCNE1 (LQT5), and KCNE2 (LQT6), along with KCNJ2 (Andersen-Tawil syndrome) and targeted analysis of 18 CPVT1-associated exons in RyR2 , was performed with the use of denaturing high-performance liquid chromatography and direct DNA sequencing. Approximately 11% (43 of 388) of the index cases had a positive swimming phenotype. Thirty-three of these 43 index cases had a “Schwartz” score (≥4) suggesting high clinical probability of LQTS. Among this subset, 28 patients (85%) were LQT1, 2 patients (6%) were LQT2, and 3 were genotype negative. Among the 10 cases with low clinical probability for LQTS, 9 had novel, putative CPVT1-causing RyR2 mutations. Conclusions— In contrast to previous studies that suggested universal LQT1 specificity, genetic heterogeneity underlies channelopathies that are suspected chiefly because of a near-drowning or drowning. CPVT1 and strategic genotyping of RyR2 should be considered when LQT1 is excluded in the pathogenesis of a swimming-triggered arrhythmia syndrome.

Background— Genotype-phenotype correlative studies have implicated 8 particular mutations that cause hypertrophic cardiomyopathy (HCM) as “benign defects,” associated with near-normal survival: N232S, G256E, F513C, V606M, R719Q, and L908V of β-myosin heavy chain ( MYH7 ); S179F of troponin T ( TNNT2 ); and D175N of α-tropomyosin ( TPM1 ). Routine genetic screening of HCM patients for specific mutations is anticipated to provide important diagnostic and prognostic information. The frequency and associated phenotype of these mutations in a large, unselected cohort of HCM is unknown. Methods and Results— A total of 293 unrelated HCM patients were genotyped for the presence of a benign mutation. DNA was obtained after informed consent; specific MHY7, TNNT2 , and TPM1 fragments were amplified by polymerase chain reaction; and the mutations were detected by denaturing high-performance liquid chromatography and automated DNA sequencing. Only 5 (1.7%) of the 293 patients possessed a benign mutation. Moreover, all 5 subjects with an ascribed benign mutation had already manifested clinically severe expression of HCM, with all 5 requiring surgical myectomy, 3 of the 5 having a family history of sudden cardiac death, and 1 adolescent requiring an orthotopic heart transplant. Conclusions— These findings demonstrate the rarity of specific mutations in HCM and challenge the notion of mutation-specific clinical outcomes. Fewer than 2% of the subjects harbored a benign mutation, and those patients with a benign mutation experienced a very serious clinical course.