Using Genetics to Inform Mechanism of Cardiovascular Disease

NIH RePORTER · NIH · R35 · $907,917 · view on reporter.nih.gov ↗

Abstract

PROJECT SUMMARY/ABSTRACT The goal of this R35 proposal is to uncover novel genetic discoveries and biological mechanisms underlying association with devastating cardiovascular diseases. This proposal builds on strengths in high-throughput genetics and genomics and development and application of innovative computational and statistical methods and genomics technology to maximize the benefits of genetic studies of cardiovascular disease. We will continue our discovery efforts to uncover genetic variants associated with a variety of cardiovascular diseases including atrial fibrillation, aortic aneurysm and dissection, and myocardial infarction and coronary artery disease. Building on our previous work where we identified a number of new genes for coronary artery disease and lipids, we also propose to uncover the mechanisms underlying association at known loci using genetics and epigenomics. We propose to assess the phenotypic impact of the ~19 million variants and 20k indels and SVs identified from whole genome sequenced samples by imputing them into 70,000 new GWAS samples with many cardiovascular phenotypes. We will perform integrated analyses with epigenomics data to highlight clusters of loci with related function. We also propose to perform targeted sequencing of 300 genes in 30,000 CAD cases and controls to search for loss of function variants at CAD loci that implicate CAD genes. We will continue to search for mechanistic insight by performing a PheWAS for all CAD-associated variants identified, disentangling multiple independent signals and correlated traits and clinical endpoints using conditional testing. Completion of these studies will provide new insights into disease mechanisms that have the potential to catalyze breakthroughs in cardiovascular disease prevention, treatment, and diagnosis.

Key facts

NIH application ID
10352380
Project number
5R35HL135824-06
Recipient
UNIVERSITY OF MICHIGAN AT ANN ARBOR
Principal Investigator
Cristen J Willer
Activity code
R35
Funding institute
NIH
Fiscal year
2022
Award amount
$907,917
Award type
5
Project period
2017-02-01 → 2022-06-30