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Todd Edwards

Publications and source records attributed to Todd Edwards.

2 recordsLinked to original sources

Genetic Determinants of Early Heart Failure in Hypoplastic Left Heart Syndrome: A Prospective NC-DEFINE Study.

BACKGROUND: Survivors of hypoplastic left heart syndrome (HLHS), the most severe form of congenital heart disease, are at high risk for heart failure (HF). HF in early life is a major contributor to mortality in this vulnerable population. However, reliable approaches to identify infants at highest risk for early HF are currently lacking. OBJECTIVES: The purpose of this study was to evaluate whether ultra-rare variants in cardiomyopathy-associated genes are associated with HF risk in HLHS. METHODS: Neonates with HLHS were prospectively enrolled within the first 21 days of life at Duke University Health System. Children and adults with HLHS who were older than 21 days were enrolled from Duke University Health System and the University of North Carolina into an ambispective cohort. External HLHS cohorts from Nationwide Children's Hospital and Vanderbilt University Medical Center were evaluated to assess for reproducibility across institutions. Participants underwent genome sequencing, and ultra-rare variants in dilated cardiomyopathy-associated genes (minor allele frequency &#x2264;0.01%) were evaluated. The primary outcome was HF, categorized as severe (ventricular assist device implantation, heart transplantation, or death) or medically managed (reduced systemic ventricular ejection fraction and/or HF diagnosis requiring initiation or escalation of HF therapy). Associations between variant status and HF risk were assessed using Cox regression. RESULTS: Among 35 neonates in the prospective cohort, 7 (20.0%) developed severe HF, 10 (28.6%) developed medically managed HF, and 18 (51.4%) remained HF free. The presence of a likely pathogenic/pathogenic variant was associated with a marked 9-fold increased risk of severe HF compared with genotype-negative individuals (P = 0.02). Most severe HF events occurred within the first month of life (67%). Similar associations between likely pathogenic/pathogenic variants and severe HF were observed in the Nationwide Children's Hospital and Vanderbilt University Medical Center cohorts (11- and 3-fold increased risk, respectively; all P < 0.05). Associations were attenuated in the ambispective cohort (all P > 0.05), which consisted of individuals significantly older than the prospective cohort (P < 0.0001). CONCLUSIONS: This study provides the first prospective evidence linking dilated cardiomyopathy-associated variants to early-onset HF in HLHS. These findings suggest that genetic variation may contribute to myocardial vulnerability in HLHS, highlighting the potential for genetic screening to enable early risk stratification and guide precision medicine approaches in this high-risk population.

Humans

Genome-wide gene-sleep interaction study identifies novel lipid loci in 732,564 participants.

BACKGROUND AND AIMS: Deviations from the population mean in sleep duration have been associated with increased risk for developing dyslipidemia and atherosclerotic cardiovascular disease, but the mechanism of effect is poorly characterized. We performed large-scale genome-wide gene-sleep interaction analyses of lipid levels to identify genetic variants underpinning the biomolecular pathways of sleep-associated lipid disturbances and to suggest possible druggable targets. METHODS: We collected data from 55 cohorts with a combined sample size of 732,564 participants (87&#xa0;% European ancestry) with data on lipid traits (high-density lipoprotein [HDL-c] and low-density lipoprotein [LDL-c] cholesterol and triglycerides [TG]). Short (STST) and long (LTST) total sleep time were defined by the extreme 20&#xa0;% of the age- and sex-standardized values within each cohort. Based on cohort-level summary statistics data, we performed meta-analyses for one-degree of freedom tests of interaction and two-degree of freedom joint tests of the SNP-main and -interaction effect on lipid levels. RESULTS: The one-degree of freedom variant-sleep interaction test identified 10 novel loci (Pint<5.0e-9), and we additionally identify 7 loci within the two-degree of freedom analyses (Pjoint<5.0e-9 in combination with Pint<6.6e-6). Multiple loci, including those mapped to APSH (target for aspartic and succinic acid) and SLC8A1 showed biological plausibility and druggability potential based on literature. CONCLUSIONS: Collectively, the 17 (9 with short and 8 with long sleep) loci provided evidence into the biomolecular mechanisms underlying sleep-associated lipid changes, including potential involvement of the vitamin D receptor pathway. Collectively, these findings may contribute developing novel interventions for treating dyslipidemia in people with sleep disturbances.

Humans