R01HL164409
Project Grant
Overview
Grant Description
High-Throughput Investigation of Human Genetic Variants Affecting Cholesterol Uptake and Efflux - Project Summary
Genetic differences in cholesterol metabolism are major contributors to the risk of coronary artery disease (CAD), which is the leading cause of death in the USA. Unraveling the genetics of cholesterol has continued to yield promising therapeutics for heart disease. Nonetheless, the genetics of cholesterol levels are far from completely understood-- there are dozens to hundreds of genomic regions whose variation meaningfully alters cholesterol levels in the population, yet we can only explain the genetic basis of a small fraction of these loci.
We have established a powerful approach combining CRISPR screening, gene network analysis, and human biobank coding variant burden analysis to dissect the genetics of cholesterol uptake and efflux. Through this pipeline, we have identified dozens of new genes that contribute to LDL cholesterol (LDL-C) uptake in cellular models and for which coding variants alter serum LDL-C levels in the population. In this proposal, we will refine and extend this pipeline to develop a coherent understanding of the variants, genes, and pathways underlying cholesterol uptake and efflux.
In Aim 1, we pioneer a novel pipeline combining CRISPR screening, gene network analysis, and human biobank burden analysis to characterize approximately 500 genes we have found to alter cellular LDL-C uptake. We will develop a sensitive approach to extract the effects of rare coding variants on serum LDL-C levels using large exome sequencing biobank cohorts. We will group LDL-C uptake-altering genes into pathways through a combination of CRISPR screening and gene network analysis. We will perform mechanistic follow-up of novel candidate LDL-C-altering pathways in cellular and mouse in vivo models.
In Aim 2, we will pioneer a new, more sensitive approach to CRISPR base editing screens to identify GWAS-associated variants that alter LDL-C uptake in liver cells. We will then use a suite of computational and experimental tools we have developed to dissect the cis-regulatory mechanisms by which these variants act and connect them to trans-regulatory inputs controlling them. We expect to connect transcriptional drivers of hepatocyte LDL-C uptake with their cis-regulatory GWAS-associated variant targets and downstream LDL-C uptake-altering genes, shedding light on how human genetic variation influences serum LDL-C levels.
In Aim 3, we will use the pipeline of CRISPR-Cas9 screening and human biobank analysis to identify genes and pathways associated with monocyte/macrophage reverse cholesterol transport, a process thought to be important in CAD risk but which is incompletely understood at the genetic level. We will dissect disease-relevant genetic mechanisms involved in reverse cholesterol transport, helping to define the role of macrophage efflux in CAD risk.
In sum, through high-throughput CRISPR screening followed by mechanistic follow-up, we will provide the most extensive experimental and computational analyses to date of the non-coding loci, genes, and pathways that underlie variation in human cellular cholesterol uptake and efflux.
Genetic differences in cholesterol metabolism are major contributors to the risk of coronary artery disease (CAD), which is the leading cause of death in the USA. Unraveling the genetics of cholesterol has continued to yield promising therapeutics for heart disease. Nonetheless, the genetics of cholesterol levels are far from completely understood-- there are dozens to hundreds of genomic regions whose variation meaningfully alters cholesterol levels in the population, yet we can only explain the genetic basis of a small fraction of these loci.
We have established a powerful approach combining CRISPR screening, gene network analysis, and human biobank coding variant burden analysis to dissect the genetics of cholesterol uptake and efflux. Through this pipeline, we have identified dozens of new genes that contribute to LDL cholesterol (LDL-C) uptake in cellular models and for which coding variants alter serum LDL-C levels in the population. In this proposal, we will refine and extend this pipeline to develop a coherent understanding of the variants, genes, and pathways underlying cholesterol uptake and efflux.
In Aim 1, we pioneer a novel pipeline combining CRISPR screening, gene network analysis, and human biobank burden analysis to characterize approximately 500 genes we have found to alter cellular LDL-C uptake. We will develop a sensitive approach to extract the effects of rare coding variants on serum LDL-C levels using large exome sequencing biobank cohorts. We will group LDL-C uptake-altering genes into pathways through a combination of CRISPR screening and gene network analysis. We will perform mechanistic follow-up of novel candidate LDL-C-altering pathways in cellular and mouse in vivo models.
In Aim 2, we will pioneer a new, more sensitive approach to CRISPR base editing screens to identify GWAS-associated variants that alter LDL-C uptake in liver cells. We will then use a suite of computational and experimental tools we have developed to dissect the cis-regulatory mechanisms by which these variants act and connect them to trans-regulatory inputs controlling them. We expect to connect transcriptional drivers of hepatocyte LDL-C uptake with their cis-regulatory GWAS-associated variant targets and downstream LDL-C uptake-altering genes, shedding light on how human genetic variation influences serum LDL-C levels.
In Aim 3, we will use the pipeline of CRISPR-Cas9 screening and human biobank analysis to identify genes and pathways associated with monocyte/macrophage reverse cholesterol transport, a process thought to be important in CAD risk but which is incompletely understood at the genetic level. We will dissect disease-relevant genetic mechanisms involved in reverse cholesterol transport, helping to define the role of macrophage efflux in CAD risk.
In sum, through high-throughput CRISPR screening followed by mechanistic follow-up, we will provide the most extensive experimental and computational analyses to date of the non-coding loci, genes, and pathways that underlie variation in human cellular cholesterol uptake and efflux.
Awardee
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
Boston,
Massachusetts
021155727
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 291% from $802,905 to $3,136,707.
Brigham & Womens Hospital was awarded
Genetic Variants in Cholesterol Uptake & Efflux - High-Throughput Study
Project Grant R01HL164409
worth $3,136,707
from National Heart Lung and Blood Institute in July 2022 with work to be completed primarily in Boston Massachusetts United States.
The grant
has a duration of 4 years 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
7/1/22
Start Date
6/30/26
End Date
Funding Split
$3.1M
Federal Obligation
$0.0
Non-Federal Obligation
$3.1M
Total Obligated
Activity Timeline
Subgrant Awards
Disclosed subgrants for R01HL164409
Transaction History
Modifications to R01HL164409
Additional Detail
Award ID FAIN
R01HL164409
SAI Number
R01HL164409-3621591793
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
QN6MS4VN7BD1
Awardee CAGE
0W3J1
Performance District
MA-07
Senators
Edward Markey
Elizabeth Warren
Elizabeth Warren
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) | $1,586,060 | 100% |
Modified: 7/21/25