Transethnic Genome-Wide Association Study Provides Insights in the Genetic Architecture and Heritability of Long QT Syndrome

BACKGROUND: Long QT syndrome (LQTS) is a rare genetic disorder and a major preventable cause of sudden cardiac death in the young. A causal rare genetic variant with large effect size is identified in up to 80% of probands (genotype positive) and cascade family screening shows incomplete penetrance of genetic variants. Furthermore, a proportion of cases meeting diagnostic criteria for LQTS remain genetically elusive despite genetic testing of established genes (genotype negative). These observations raise the possibility that common genetic variants with small effect size contribute to the clinical picture of LQTS. This study aimed to characterize and quantify the contribution of common genetic variation to LQTS disease susceptibility. METHODS: We conducted genome-wide association studies followed by transethnic meta-analysis in 1656 unrelated patients with LQTS of European or Japanese ancestry and 9890 controls to identify susceptibility single nucleotide polymorphisms. We estimated the common variant heritability of LQTS and tested the genetic correlation between LQTS susceptibility and other cardiac traits. Furthermore, we tested the aggregate effect of the 68 single nucleotide polymorphisms previously associated with the QT-interval in the general population using a polygenic risk score. RESULTS: Genome-wide association analysis identified 3 loci associated with LQTS at genome-wide statistical significance (P&lt;5×10-8) near NOS1AP, KCNQ1, and KLF12, and 1 missense variant in KCNE1(p.Asp85Asn) at the suggestive threshold (P&lt;10-6). Heritability analyses showed that ≈15% of variance in overall LQTS susceptibility was attributable to common genetic variation (h2SNP 0.148; standard error 0.019). LQTS susceptibility showed a strong genome-wide genetic correlation with the QT-interval in the general population (rg=0.40; P=3.2×10-3). The polygenic risk score comprising common variants previously associated with the QT-interval in the general population was greater in LQTS cases compared with controls (P&lt;10-13), and it is notable that, among patients with LQTS, this polygenic risk score was greater in patients who were genotype negative compared with those who were genotype positive (P&lt;0.005). CONCLUSIONS: This work establishes an important role for common genetic variation in susceptibility to LQTS. We demonstrate overlap between genetic control of the QT-interval in the general population and genetic factors contributing to LQTS susceptibility. Using polygenic risk score analyses aggregating common genetic variants that modulate the QT-interval in the general population, we provide evidence for a polygenic architecture in genotype negative LQTS.</p

Genome-wide association analyses identify new Brugada syndrome risk loci and highlight a new mechanism of sodium channel regulation in disease susceptibility.

Brugada syndrome (BrS) is a cardiac arrhythmia disorder associated with sudden death in young adults. With the exception of SCN5A, encoding the cardiac sodium channel Na1.5, susceptibility genes remain largely unknown. Here we performed a genome-wide association meta-analysis comprising 2,820 unrelated cases with BrS and 10,001 controls, and identified 21 association signals at 12 loci (10 new). Single nucleotide polymorphism (SNP)-heritability estimates indicate a strong polygenic influence. Polygenic risk score analyses based on the 21 susceptibility variants demonstrate varying cumulative contribution of common risk alleles among different patient subgroups, as well as genetic associations with cardiac electrical traits and disorders in the general population. The predominance of cardiac transcription factor loci indicates that transcriptional regulation is a key feature of BrS pathogenesis. Furthermore, functional studies conducted on MAPRE2, encoding the microtubule plus-end binding protein EB2, point to microtubule-related trafficking effects on Na1.5 expression as a new underlying molecular mechanism. Taken together, these findings broaden our understanding of the genetic architecture of BrS and provide new insights into its molecular underpinnings

Positioning with 3GPP-LTE based Cellular Wireless Communication Systems: Interference, Multipath and Non-Line-of-Sight

Positioning services and applications for mobile phones have become very important in recent years and will pay a fundamental role in future wireless communication systems. Presently, to get accurate position information of current mobile phones global navigation satellite systems are used. Unfortunately these systems do not provide good coverage in urban or indoor scenarios. In contrast, cellular wireless communication systems are designed to provide excellent coverage in these scenarios. Hence this thesis studies the positioning of mobile phones in a 3GPP-LTE based cellular wireless communication system with respect to adverse propagation conditions as interference, multipath and Non-Line-of-Sight (NLOS). Therefore a cellular network simulator based on the 3GPP-LTE standard and the WINNER II channel model is developed to study the influences of these adverse effects on single link time measurements. Furthermore a Time-Difference-of-Arrival (TDOA) positioning receiver based on a Gauss-Newton algorithm for the positioning approach is developed. In addition signal processing algorithms for the mitigation of the adverse propagation effects are implemented to evaluate the associated improvements for the positioning. Therefore algorithms for interference cancellation, multipath and NLOS mitigation are developed and implemented in the receiver. To study the effect of these algorithms, different combinations of these techniques are evaluated in simulations. Furthermore the influence of different receiver bandwidths on the positioning accuracy in the developed simulation environment is determined

An Evaluation Methodology for VANET Applications Combining Simulation and Multi-sensor Experiments

Wireless vehicular networks are in the wake of mass deployment both in Europe and the USA. These networks introduce a new promising source of information about vehicular environments usable by cooperative advanced driver assistance systems (ADAS). However, development and evaluation of such ADAS is still challenging. Thus, we propose a methodology for their development and evaluation process. It is applied to evaluate the fulfillment of requirements on position accuracy information within the communicated data sets. Accuracy requirements are only roughly defined and not sufficiently evaluated in real world environments. This holds especially for GNSS (Global Navigation Satellite Systems) optimized for maximum integrity of obtained positions, which is required for safety critical ADAS to increase robustness and reliability. Our main goal is to determine whether position accuracy provided by GNSS is sufficient for cooperative ADAS. Thereby, we find that pure GNSS input cannot fulfill position accuracy requirements in most test cases

Diagnostic criteria for congenital long QT syndrome in the era of molecular genetics: Do we need a scoring system?

Aims: Previously published diagnostic systems, based on ECG analysis and clinical parameters (Schwartz criteria and Keating criteria), have been used to estimate the probability of inherited long QT syndrome (LQTS). Nowadays, a certain diagnosis can often be made by DNA testing. We aimed to establish the predictive power of the Schwartz and Keating criteria, using DNA testing as a reference, and to determine the best diagnostic strategy. Methods and results: We studied 513 relatives (aged >10 years) of 77 consecutive LQTS probands with a known disease-causing mutation. The Schwartz criteria identified 'high probability of LQTS' (score ≥4) in 41 of 208 mutation carriers, yielding 19% sensitivity and 99% specificity. The Keating criteria had 36% sensitivity and 99% specificity. Alternatively, by analysing QTc duration alone, we found that 430 ms is the optimal cut-off value to distinguish carriers (≥430 ms) from non-carriers

Common variants at SCN5A-SCN10A and HEY2 are associated with Brugada syndrome, a rare disease with high risk of sudden cardiac death

Brugada syndrome is a rare cardiac arrhythmia disorder, causally related to SCN5A mutations in around 20% of cases. Through a genome-wide association study of 312 individuals with Brugada syndrome and 1,115 controls, we detected 2 significant association signals at the SCN10A locus (rs10428132) and near the HEY2 gene (rs9388451). Independent replication confirmed both signals (meta-analyses: rs10428132, P = 1.0 × 10(-68); rs9388451, P = 5.1 × 10(-17)) and identified one additional signal in SCN5A (at 3p21; rs11708996, P = 1.0 × 10(-14)). The cumulative effect of the three loci on disease susceptibility was unexpectedly large (Ptrend = 6.1 × 10(-81)). The association signals at SCN5A-SCN10A demonstrate that genetic polymorphisms modulating cardiac conduction can also influence susceptibility to cardiac arrhythmia. The implication of association with HEY2, supported by new evidence that Hey2 regulates cardiac electrical activity, shows that Brugada syndrome may originate from altered transcriptional programming during cardiac development. Altogether, our findings indicate that common genetic variation can have a strong impact on the predisposition to rare disease

Nat Genet

Brugada syndrome (BrS) is a cardiac arrhythmia disorder associated with sudden death in young adults. With the exception of SCN5A, encoding the cardiac sodium channel Na1.5, susceptibility genes remain largely unknown. Here we performed a genome-wide association meta-analysis comprising 2,820 unrelated cases with BrS and 10,001 controls, and identified 21 association signals at 12 loci (10 new). Single nucleotide polymorphism (SNP)-heritability estimates indicate a strong polygenic influence. Polygenic risk score analyses based on the 21 susceptibility variants demonstrate varying cumulative contribution of common risk alleles among different patient subgroups, as well as genetic associations with cardiac electrical traits and disorders in the general population. The predominance of cardiac transcription factor loci indicates that transcriptional regulation is a key feature of BrS pathogenesis. Furthermore, functional studies conducted on MAPRE2, encoding the microtubule plus-end binding protein EB2, point to microtubule-related trafficking effects on Na1.5 expression as a new underlying molecular mechanism. Taken together, these findings broaden our understanding of the genetic architecture of BrS and provide new insights into its molecular underpinnings