Jo Ayala

A common missense variant in the neuregulin 1 gene is associated with both schizophrenia and sudden cardiac death

BACKGROUND Both schizophrenia and epilepsy have been linked to increased risk of sudden cardiac death (SCD). We hypothesized that DNA variants within genes previously associated with schizophrenia and epilepsy may contribute to an increased risk of SCD. OBJECTIVE To investigate the contribution to SCD susceptibility of DNA variants previously implicated in schizophrenia and epilepsy. METHODS From the ongoing Oregon Sudden Unexpected Death Study, comparisons were performed among 340 SCD cases presenting with ventricular fibrillation and 342 controls. We tested for the association between 17 single-nucleotide polymorphisms (SNPs) mapped to 14 loci previously implicated in schizophrenia and epilepsy by using logistic regression and assuming additive, dominant, and recessive genetic models. RESULTS The minor allele of the nonsynonymous SNP rs10503929 within the neuregulin 1 gene was associated with SCD under all 3 investigated models, with the strongest association for the recessive genetic model (recessive P = 4.01 × 10(-5), odds ratio [OR] 4.04; additive P = 2.84 × 10(-7), OR 1.9; and dominant P = 9.01 × 10(-6), OR 2.06). To validate our findings, we further explored the association of this variant in the Harvard Cohort SCD study. The SNP rs10503929 was associated with an increased risk of SCD under the recessive genetic model (P = .0005, OR 2.7). This missense variation causes a methionine to threonine change and functional effects are currently unknown. CONCLUSIONS The observed association between a schizophrenia-related neuregulin 1 gene variant and SCD may represent the first evidence of coexisting genetic susceptibility between 2 conditions that have an established clinical overlap. Further investigation is warranted to explore the molecular mechanisms of this variant in the pathogenesis of SCD.

Novel loci associated with increased risk of sudden cardiac death in the context of coronary artery disease.

Background Recent genome-wide association studies (GWAS) have identified novel loci associated with sudden cardiac death (SCD). Despite this progress, identified DNA variants account for a relatively small portion of overall SCD risk, suggesting that additional loci contributing to SCD susceptibility await discovery. The objective of this study was to identify novel DNA variation associated with SCD in the context of coronary artery disease (CAD). Methods and Findings Using the MetaboChip custom array we conducted a case-control association analysis of 119,117 SNPs in 948 SCD cases (with underlying CAD) from the Oregon Sudden Unexpected Death Study (Oregon-SUDS) and 3,050 controls with CAD from the Wellcome Trust Case-Control Consortium (WTCCC). Two newly identified loci were significantly associated with increased risk of SCD after correction for multiple comparisons at: rs6730157 in the RAB3GAP1 gene on chromosome 2 (P = 4.93×10−12, OR = 1.60) and rs2077316 in the ZNF365 gene on chromosome 10 (P = 3.64×10−8, OR = 2.41). Conclusions Our findings suggest that RAB3GAP1 and ZNF365 are relevant candidate genes for SCD and will contribute to the mechanistic understanding of SCD susceptibility.

Cumulative effects of common genetic variants on risk of sudden cardiac death

Background Genome-wide association studies and candidate-gene based approaches have identified multiple common variants associated with increased risk of sudden cardiac death (SCD). However, the independent contribution of these individual loci to disease risk is modest. Objective To investigate the cumulative effects of genetic variants previously associated with SCD risk. Methods A total of 966 SCD cases from the Oregon-Sudden Unexpected Death Study and 1926 coronary artery disease controls from the Wellcome Trust Case–Control Consortium were investigated. We generated genetic risk scores (GRSs) for each trait composed of variants previously associated with SCD or with abnormalities in specific electrocardiographic traits such as QRS duration, QTc interval and heart rate. GRSs were calculated using a weighted approach based on the number of risk alleles weighted by the beta coefficients derived from the original studies. We also compared the highest and lowest quintiles for the GRS composed of SCD SNPs. Results Increased cumulative risk was observed for a GRS composed of 14 SCD-SNPs (OR = 1.17 [1.05–1.29], P = 0.002). The risk for SCD was 1.5 fold greater in the highest risk quintile when compared to the lowest risk quintile (OR = 1.46 [1.11–1.92]). We did not observe significant associations with SCD for SNPs that determine electrocardiographic traits. Conclusions A modest but significant effect on SCD risk was identified for a GRS composed of 14 previously associated SCD SNPs. While next generation sequencing methodology will continue to identify additional novel variants, these findings represent proof of concept for the additive effects of gene variants on SCD risk.