Patrick T. ELLINOR - Massachusetts - USA

Abstract

Cardiovascular diseases are the leading causes of death worldwide, yet there is an urgent need for new therapies.  In the current talk, we will discuss three complimentary approaches for the discovery of new therapeutic targets – genetics, machine learning, and single cell sequencing. First, we will review the latest approaches to identify genes underlying cardiovascular diseases using genome wide association studies and large-scale sequencing. We will then discuss the application of machine learning to imaging data to define new cardiovascular traits. Finally, we will explore recent results from single cell sequencing in patients with dilated and hypertrophic cardiomyopathy that has identified a disease-specific upregulation of activated fibroblasts.
 

Biography

Ellinor’s lab uses genetics to elucidate the molecular basis underlying abnormalities of the heart rhythm and heart function. Much of his recent work has focused on atrial fibrillation, the most common arrhythmia. To identify novel pathways for atrial fibrillation, he has used a broad range of techniques, including population genetics, electrophysiology, and animal models of arrhythmias.More informations