R01HL164675
Project Grant
Overview
Grant Description
Systematically Mapping Variant Effects for Cardiovascular Genes
Cardiovascular diseases are leading global causes of death and disability, presenting as interrelated phenotypes of atherosclerotic vascular disease, heart failure, and arrhythmias. They arise from interactions between environmental factors and common and rare genetic variants, including relatively common Mendelian lipid disorders, cardiomyopathies, and arrhythmias that collectively occur in at least 1/100 individuals.
The availability of genetic sequencing is altering clinical management, but a major barrier to the widespread application of this practice is that the function of the vast majority of variants in key cardiovascular disease genes is unknown. Variant effect maps that define function for nearly all missense variants in a target sequence offer a way forward. This project brings together scientists at the forefront of variant effect mapping in diverse cellular systems, illuminating underlying cardiovascular biology, establishing relationships between variant function and human phenotypes, and working with others in multi-institutional collaborations.
Our CardioVar team will generate a comprehensive atlas of variant effect maps for key cardiovascular disease genes.
In Aim 1, we will develop, optimize, and validate a range of high-throughput cellular assays. We will use a range of generalizable (e.g. surface abundance) and bespoke (e.g. electrophysiological, lipoprotein uptake) assays to directly measure variant function in disease-relevant context. Assays will be assessed by their ability to discriminate pathogenic from benign variants.
In Aim 2, we will use in situ targeted mutagenesis or insertion of variant constructs at a safe harbor site to generate pools of cells capturing all single-nucleotide changes in target genes. We will then deploy existing validated assays and those emerging from Aim 1 to generate and validate variant effect maps at scale. Functional scores and uncertainty estimates will be derived and evaluated, both by performance on pathogenic and benign variants and on correlation with discrete and quantitative phenotypes in clinical cohorts.
In Aim 3, we will derive biological and clinical insights from variant effect maps. Discordant cases, where variant scores diverge from clinical annotation, will be further investigated in zebrafish, iPSC-cardiomyocytes, and automated patch clamping systems. Through a combination of hypothesis-driven analysis and machine learning models, we will reveal relationships among variant effects, protein structure, protein function, and human phenotypes.
To optimize use of the atlas, we will provide a portal serving as a variant-centric decision support system for evaluating functional evidence of pathogenicity. We will release variant effect map data pre-publication via MAVEDB (that we co-developed) and share all renewable variant assay reagents.
The CardioVar atlas of missense variant effects, covering key cardiovascular disease genes, will be an essential and interpretable community resource for clinical and mechanistic studies of cardiovascular disease.
Cardiovascular diseases are leading global causes of death and disability, presenting as interrelated phenotypes of atherosclerotic vascular disease, heart failure, and arrhythmias. They arise from interactions between environmental factors and common and rare genetic variants, including relatively common Mendelian lipid disorders, cardiomyopathies, and arrhythmias that collectively occur in at least 1/100 individuals.
The availability of genetic sequencing is altering clinical management, but a major barrier to the widespread application of this practice is that the function of the vast majority of variants in key cardiovascular disease genes is unknown. Variant effect maps that define function for nearly all missense variants in a target sequence offer a way forward. This project brings together scientists at the forefront of variant effect mapping in diverse cellular systems, illuminating underlying cardiovascular biology, establishing relationships between variant function and human phenotypes, and working with others in multi-institutional collaborations.
Our CardioVar team will generate a comprehensive atlas of variant effect maps for key cardiovascular disease genes.
In Aim 1, we will develop, optimize, and validate a range of high-throughput cellular assays. We will use a range of generalizable (e.g. surface abundance) and bespoke (e.g. electrophysiological, lipoprotein uptake) assays to directly measure variant function in disease-relevant context. Assays will be assessed by their ability to discriminate pathogenic from benign variants.
In Aim 2, we will use in situ targeted mutagenesis or insertion of variant constructs at a safe harbor site to generate pools of cells capturing all single-nucleotide changes in target genes. We will then deploy existing validated assays and those emerging from Aim 1 to generate and validate variant effect maps at scale. Functional scores and uncertainty estimates will be derived and evaluated, both by performance on pathogenic and benign variants and on correlation with discrete and quantitative phenotypes in clinical cohorts.
In Aim 3, we will derive biological and clinical insights from variant effect maps. Discordant cases, where variant scores diverge from clinical annotation, will be further investigated in zebrafish, iPSC-cardiomyocytes, and automated patch clamping systems. Through a combination of hypothesis-driven analysis and machine learning models, we will reveal relationships among variant effects, protein structure, protein function, and human phenotypes.
To optimize use of the atlas, we will provide a portal serving as a variant-centric decision support system for evaluating functional evidence of pathogenicity. We will release variant effect map data pre-publication via MAVEDB (that we co-developed) and share all renewable variant assay reagents.
The CardioVar atlas of missense variant effects, covering key cardiovascular disease genes, will be an essential and interpretable community resource for clinical and mechanistic studies of cardiovascular disease.
Funding Goals
TO FOSTER HEART AND VASCULAR RESEARCH IN THE BASIC, TRANSLATIONAL, CLINICAL AND POPULATION SCIENCES, AND TO FOSTER TRAINING TO BUILD TALENTED YOUNG INVESTIGATORS IN THESE AREAS, FUNDED THROUGH COMPETITIVE RESEARCH TRAINING GRANTS. SMALL BUSINESS INNOVATION RESEARCH (SBIR) PROGRAM: TO STIMULATE TECHNOLOGICAL INNOVATION, USE SMALL BUSINESS TO MEET FEDERAL RESEARCH AND DEVELOPMENT NEEDS, FOSTER AND ENCOURAGE PARTICIPATION IN INNOVATION AND ENTREPRENEURSHIP BY SOCIALLY AND ECONOMICALLY DISADVANTAGED PERSONS, AND INCREASE PRIVATE-SECTOR COMMERCIALIZATION OF INNOVATIONS DERIVED FROM FEDERAL RESEARCH AND DEVELOPMENT FUNDING. SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAM: TO STIMULATE TECHNOLOGICAL INNOVATION, FOSTER TECHNOLOGY TRANSFER THROUGH COOPERATIVE R&D BETWEEN SMALL BUSINESSES AND RESEARCH INSTITUTIONS, AND INCREASE PRIVATE SECTOR COMMERCIALIZATION OF INNOVATIONS DERIVED FROM FEDERAL R&D.
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Nashville,
Tennessee
372152691
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 289% from $2,085,976 to $8,116,228.
Vanderbilt University Medical Center was awarded
Mapping Variant Effects for Cardiovascular Genes
Project Grant R01HL164675
worth $8,116,228
from National Heart Lung and Blood Institute in August 2022 with work to be completed primarily in Nashville Tennessee United States.
The grant
has a duration of 3 years 10 months and
was awarded through assistance program 93.837 Cardiovascular Diseases Research.
The Project Grant was awarded through grant opportunity NIH Research Project Grant (Parent R01 Clinical Trial Not Allowed).
Status
(Ongoing)
Last Modified 7/21/25
Period of Performance
8/25/22
Start Date
6/30/26
End Date
Funding Split
$8.1M
Federal Obligation
$0.0
Non-Federal Obligation
$8.1M
Total Obligated
Activity Timeline
Subgrant Awards
Disclosed subgrants for R01HL164675
Transaction History
Modifications to R01HL164675
Additional Detail
Award ID FAIN
R01HL164675
SAI Number
R01HL164675-3905807380
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Nonprofit With 501(c)(3) IRS Status (Other Than An Institution Of Higher Education)
Awarding Office
75NH00 NIH National Heart, Lung, and Blood Institute
Funding Office
75NH00 NIH National Heart, Lung, and Blood Institute
Awardee UEI
GYLUH9UXHDX5
Awardee CAGE
7HUA5
Performance District
TN-05
Senators
Marsha Blackburn
Bill Hagerty
Bill Hagerty
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| National Heart, Lung, and Blood Institute, National Institutes of Health, Health and Human Services (075-0872) | Health research and training | Grants, subsidies, and contributions (41.0) | $4,113,130 | 100% |
Modified: 7/21/25