Principal Investigator: Dr. Steven Lubitz
Department: Medical and Population Genetics
Broad Institute, Medical and Population Genetics, 415 Main Street, Cambridge MA 02142. United States.Tags: 17488, Arrhythmia, bradycardia, Cardiac, conduction, tachycardia
1a: Cardiac arrhythmias are leading causes of morbidity and sudden death, however the pathophysiologic basis of arrhythmias largely remains unclear. In recent years, heritability of arrhythmias has been described suggesting a genetic basis. We specifically intend to identify the genetic causes of cardiac arrhythmias, assess the causal relations between cardiac arrhythmias and long-term morbidity, estimate the long-term risks of genetic predisposition to cardiac arrhythmias, and determine the relations between cardiac arrhythmias and other cardiovascular traits including cardiac conduction, cardiac structural features, and myocardial related biomarkers.
1b: Cardiac arrhythmias are a common source of morbidity, yet the mechanisms are poorly understood. Our proposal is designed to address the genetic underpinnings of cardiac arrhythmias, and assess their relations with morbidity. Our proposal has the potential to provide novel insights into the pathophysiological and biological mechanisms of cardiac arrhythmias. We believe that our findings may yield novel preventative, diagnostic, and therapeutic insights. We submit that our proposal is consistent with the UK Biobank’s goal of improving the understanding of common diseases and improving public health.
1c: We will examine the genetic underpinnings of common cardiac arrhythmias, including tachyarrhythmias (disorders involving fast heart rates, such as supraventricular tachycardias), and bradyarrhythmias (disorders involving slow heart rates, such as those necessitating pacemaker implantation). Phenotypes will be ascertained on the basis of diagnostic codes (ICD), procedure codes and operations, and self-report. The research will involve both common and rare variant genetic association testing across the genome with cardiac arrhythmia phenotypes. The results of analyses will be meta-analyzed with other independent analyses to enhance power. We will use contemporary statistical approaches and significance thresholds for determining significance.
1d: We anticipate using the full cohort for this proposal.
Project extension – January 2020
Cardiac arrhythmias are leading causes of morbidity and sudden death, however the pathophysiologic basis of arrhythmias largely remains unclear. In recent years, heritability of arrhythmias has been described suggesting a genetic basis. We specifically intend to identify the genetic causes of cardiac arrhythmias and related physiology, assess the relations between cardiac arrhythmias and morbidity, estimate the risks of genetic predisposition to arrhythmia-related morbidity, and determine how human traits and diseases collectively contribute to arrhythmia-related morbidity. In keeping with our scientific objectives, we further seek to leverage the UK Biobank’s unique resources to understand how signals in raw data relate to arrhythmias and related cardiovascular diseases by developing deep-learning models on available bulk data. We further seek to develop such models using innovative computational techniques that allow federated model development across different institutions without individual-level data sharing.
Last updated Feb 14, 2020