AI Tool Exposes Rare Genetic Variants Fueling Coronary Artery Disease Risk
Researchers at Mount Sinai used artificial intelligence to identify 17 genes with rare coding variants that help explain the molecular basis of coronary artery disease.
Category: Genetic Risk Factors
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Genetic Link Between Preeclampsia and Cardiovascular Disease Unveiled
A genome-wide association study delves into the genetic underpinnings of preeclampsia and its connection to cardiovascular disease. By identifying shared genetic loci, the study highlights the potential overlap between these conditions and provides insights into the long-term cardiovascular risks associated with preeclampsia and gestational hypertension.
The Link Between Neonatal Depression and Mortality in Critical Congenital Heart Disease: Insights from National Data
A new study using US national vital statistics data sheds light on the link between neonatal depression (low Apgar scores) and 1-year mortality in critical congenital heart disease (CCHD). The study identifies risk factors for neonatal depression and highlights the importance of using Apgar scores as a prognostic indicator in CCHD. These findings have implications for prenatal management and improving CCHD mortality rates.
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Unraveling the Complexities of Fetal Congenitally Corrected Transposition of the Great Arteries: Predictors of Clinical Outcomes Explored
A comprehensive multicenter study examines fetal congenitally corrected transposition of the great arteries (ccTGA) to identify predictors of clinical outcomes. The study highlights associated cardiac lesions, arrhythmias, and key risk factors, providing valuable insights for prenatal counseling, follow-up, and delivery planning in ccTGA cases.
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