R01ES032323
Project Grant
Overview
Grant Description
Gene-by-Environment Interactions That Affect Exposure-Mediated Congenital Heart Disease - Project Summary/Abstract
We propose to exploit unique features of the Atlantic killifish model system to elucidate the interaction of genetic variation and environmental exposures in the etiology of congenital heart disease (CHD). This complex human disease encompasses a suite of structural and functional deficits and is the most common human congenital malformation worldwide. The etiology of CHD is poorly understood, but appears to involve both genetic and environmental risk factors, including exposure to environmental chemicals.
The Atlantic killifish (Fundulus heteroclitus) is a novel population-based model system that harbors substantial genetic diversity and exhibits chemical-induced cardiovascular disease states that mimic substantial aspects of CHD in humans. Killifish inhabit urbanized environments that are polluted by mixtures of chemicals including polychlorinated biphenyls (PCBs) and polycyclic aromatic hydrocarbons (PAHs). Urban and non-urban populations vary profoundly in their sensitivity to CHD caused by exposure to these compounds.
We propose to use this unique and powerful system to explore gene-environment interactions associated with CHD, expanding on our successful use of the quantitative trait loci (QTL) approach in this species. A particularly compelling feature of this model is that natural selection has increased the frequency of otherwise rare variants that influence sensitivity to these (and potentially other) important classes of pollutants. Our previous data reveal some regions of the genome that affect fitness in polluted environments and contribute to variation in sensitivity to CHD.
The overall objective of the proposed research is to determine the genes and pathways harboring genetic variation that controls sensitivity to PCB- and PAH-induced CHD. We will test for genetic associations through genome-wide genotyping of phenotyped animals in replicate families bred using QTL strategies and exposed to PCB and PAHs. Experiments will test for genetic association with multiple specific structural and functional deficits that define the suite of CHD phenotypes. This QTL mapping will include 1) multiple genetic backgrounds, 2) multiple CHD-associated chemicals, each with different hypothesized mechanisms of action, and 3) multiple exposure levels.
We will test whether the different CHD features are associated with unique or shared variants in different genetic backgrounds, and whether disease-associated variants are unique or shared among structurally diverse classes of chemicals that may cause CHD by different mechanisms. We will evaluate the relevance of CHD-associated variants by testing whether they are associated with variable fitness between polluted and clean environments, focus inference of candidate genes using expression quantitative trait loci (eQTL) mapping, and test hypothesized associations using genome editing by CRISPR-Cas9 technology.
This research in a population-based vertebrate model will reveal mechanisms underlying gene-environment interactions involved in determining susceptibility to CHD, a common congenital condition.
We propose to exploit unique features of the Atlantic killifish model system to elucidate the interaction of genetic variation and environmental exposures in the etiology of congenital heart disease (CHD). This complex human disease encompasses a suite of structural and functional deficits and is the most common human congenital malformation worldwide. The etiology of CHD is poorly understood, but appears to involve both genetic and environmental risk factors, including exposure to environmental chemicals.
The Atlantic killifish (Fundulus heteroclitus) is a novel population-based model system that harbors substantial genetic diversity and exhibits chemical-induced cardiovascular disease states that mimic substantial aspects of CHD in humans. Killifish inhabit urbanized environments that are polluted by mixtures of chemicals including polychlorinated biphenyls (PCBs) and polycyclic aromatic hydrocarbons (PAHs). Urban and non-urban populations vary profoundly in their sensitivity to CHD caused by exposure to these compounds.
We propose to use this unique and powerful system to explore gene-environment interactions associated with CHD, expanding on our successful use of the quantitative trait loci (QTL) approach in this species. A particularly compelling feature of this model is that natural selection has increased the frequency of otherwise rare variants that influence sensitivity to these (and potentially other) important classes of pollutants. Our previous data reveal some regions of the genome that affect fitness in polluted environments and contribute to variation in sensitivity to CHD.
The overall objective of the proposed research is to determine the genes and pathways harboring genetic variation that controls sensitivity to PCB- and PAH-induced CHD. We will test for genetic associations through genome-wide genotyping of phenotyped animals in replicate families bred using QTL strategies and exposed to PCB and PAHs. Experiments will test for genetic association with multiple specific structural and functional deficits that define the suite of CHD phenotypes. This QTL mapping will include 1) multiple genetic backgrounds, 2) multiple CHD-associated chemicals, each with different hypothesized mechanisms of action, and 3) multiple exposure levels.
We will test whether the different CHD features are associated with unique or shared variants in different genetic backgrounds, and whether disease-associated variants are unique or shared among structurally diverse classes of chemicals that may cause CHD by different mechanisms. We will evaluate the relevance of CHD-associated variants by testing whether they are associated with variable fitness between polluted and clean environments, focus inference of candidate genes using expression quantitative trait loci (eQTL) mapping, and test hypothesized associations using genome editing by CRISPR-Cas9 technology.
This research in a population-based vertebrate model will reveal mechanisms underlying gene-environment interactions involved in determining susceptibility to CHD, a common congenital condition.
Awardee
Funding Goals
THE MISSION OF THE NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES (NIEHS) IS TO RESEARCH HOW THE ENVIRONMENT AFFECTS BIOLOGICAL SYSTEMS ACROSS THE LIFESPAN AND TO TRANSLATE THIS KNOWLEDGE TO REDUCE DISEASE AND PROMOTE HEALTH.
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Davis,
California
95616
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the End Date has been extended from 06/30/26 to 06/30/27 and the total obligations have increased 375% from $644,317 to $3,058,037.
Davis University Of California was awarded
Gene-Environment Interactions in CHD: Atlantic Killifish Study
Project Grant R01ES032323
worth $3,058,037
from the National Institute of Environmental Health Sciences in September 2021 with work to be completed primarily in Davis California United States.
The grant
has a duration of 5 years 9 months and
was awarded through assistance program 93.113 Environmental Health.
The Project Grant was awarded through grant opportunity Mechanistic Studies of Gene-Environment Interplay in Dental, Oral, Craniofacial, and Other Diseases and Conditions (R01 Clinical Trial Not Allowed).
Status
(Ongoing)
Last Modified 4/6/26
Period of Performance
9/10/21
Start Date
6/30/27
End Date
Funding Split
$3.1M
Federal Obligation
$0.0
Non-Federal Obligation
$3.1M
Total Obligated
Activity Timeline
Subgrant Awards
Disclosed subgrants for R01ES032323
Transaction History
Modifications to R01ES032323
Additional Detail
Award ID FAIN
R01ES032323
SAI Number
R01ES032323-3525854366
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Public/State Controlled Institution Of Higher Education
Awarding Office
75NV00 NIH National Institute of Enviromental Health Sciences
Funding Office
75NV00 NIH National Institute of Enviromental Health Sciences
Awardee UEI
TX2DAGQPENZ5
Awardee CAGE
1CBG4
Performance District
CA-04
Senators
Dianne Feinstein
Alejandro Padilla
Alejandro Padilla
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| National Institute of Environmental Health Sciences, National Institutes of Health, Health and Human Services (075-0862) | Health research and training | Grants, subsidies, and contributions (41.0) | $1,254,280 | 100% |
Modified: 4/6/26