Brett Kroncke
Department of Medicine
Vanderbilt Center for Arrhythmia Research and Therapeutics (VanCART)
Clinical Pharmacology
Department of Pharmacology
Center for Structural Biology (CSB)
Vanderbilt Genetics Institute (VGI)
Data Science Institute (DSI)
We want to be able to accurately predict the phenotype of any and all genetic variants. Our approach is to collect as much phenotype information–at high and low resolution–as is feasible for the largest number of variants and then leverage experimental and computational structural biology to fill in the details for yet uncharacterized variants. To develop this methodology, we are starting with ion channels involved in the heart contraction cycle.
We want to be able to accurately predict the phenotype of any and all genetic variants. Our approach is to collect as much phenotype information–at high and low resolution–as is feasible for the largest number of variants and then leverage experimental and computational structural biology to fill in the details for yet uncharacterized variants. To develop this methodology, we are starting with ion channels involved in the heart contraction cycle.
Keywords: Genetics , Biophysics , Statistical Modelling , Heart Arrhythmias
Research Area: Biophysics , Cardiovascular Biology , Computational and Systems Biology , Genomics , Structural Biology