Grant: DRA : Canada Graduate Research Scholarship - Doctoral Program (CGRS D)
University of British Columbia
$120,000.00
Investigating equity gaps in diagnostic rates and cardiovascular outcomes by sex/gender and race/genetic ancestry intersectional analysis of participants with monogenic cardiomyopathy using the AllOfUs biobank
FY 2025-26
Summary
Heart disease is a leading cause of disability and death in Canada. A predisposition to disease of the heart muscle, cardiomyopathy (CM), can be caused by deleterious variations in a single gene ("monogenic disease"). Monogenic CM can lead to young onset of heart disease and higher risk of major life-threatening outcomes, such as sudden cardiac death. There are well-documented differences in the time to diagnosis, time to specialist care, and outcomes biased against women and non-White populations. Specialized computer tools can estimate if someone has a predicted deleterious genetic variant (PDV) in a gene known to cause monogenic disease. However, these tools are less likely to classify PDVs as disease-causing in diverse populations due to historical underrepresentation of non-White populations in reference databases used by these tools. Further, there are biological sex differences in how a CM PDV may manifest in disease between males and females. Intersectional analyses of population PDV burden and outcomes by both race/ancestry and sex/gender are lacking.
This research aims to examine the frequency of PDV evidence of monogenic CM and other heart disease risk factors and outcomes in the AllOfUs biobank. AllOfUs is the largest and most diverse dataset available to researchers large enough to do these analyses. This research aims to investigate differences in rates of PDV classifications and genetic diagnoses in participants with CM by race/ancestry and outcomes by gender/sex. Further, we will explore the prevalence of PDVs, CM and outcomes in participants with PDVs in ANK2, a strong novel gene candidate for CM gene-disease association enriched in a Canadian Indigenous population.
The findings of this study will directly influence clinical guidelines for determining which patients with CM should undergo genetic testing, while highlighting measurable targets for reduction of inequity in precision medicine.
Department
Program
DRA : Canada Graduate Research Scholarship - Doctoral Program (CGRS D)
Recipient
Location
British Columbia, Canada
Recipient Type
Academia
Type
Grant
Source
CIHR Funding Decisions Database
As published
Id
560085
Name
Theberge Emilie
Region
British Columbia
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Circulatory and Respiratory Health
Theme2
Clinical
Prcname2
DT2 (Health services and population health research) CGRS Doctoral
Projecttitle
Investigating equity gaps in diagnostic rates and cardiovascular outcomes by sex/gender and race/genetic ancestry intersectional analysis of participants with monogenic cardiomyopathy using the AllOfUs biobank
Programtype2
Studentship Programs
Orgnameinp2
University of British Columbia
Cihramount2
$120,000
Cihrequipment2
$0
Programname2
DRA : Canada Graduate Research Scholarship - Doctoral Program (CGRS D)
Keyworddelim
Biobank Analysis; Cardiomyopathy; Cardiovascular Disease; Equity In Medicine; Genetic Diagnosis; Heart Failure; Monogenic Disease; Race And Genetic Ancestry Differences; Sex And Gender Differences; Whole Genome Sequencing
Abstract
Heart disease is a leading cause of disability and death in Canada. A predisposition to disease of the heart muscle, cardiomyopathy (CM), can be caused by deleterious variations in a single gene ("monogenic disease"). Monogenic CM can lead to young onset of heart disease and higher risk of major life-threatening outcomes, such as sudden cardiac death. There are well-documented differences in the time to diagnosis, time to specialist care, and outcomes biased against women and non-White populations. Specialized computer tools can estimate if someone has a predicted deleterious genetic variant (PDV) in a gene known to cause monogenic disease. However, these tools are less likely to classify PDVs as disease-causing in diverse populations due to historical underrepresentation of non-White populations in reference databases used by these tools. Further, there are biological sex differences in how a CM PDV may manifest in disease between males and females. Intersectional analyses of population PDV burden and outcomes by both race/ancestry and sex/gender are lacking.
This research aims to examine the frequency of PDV evidence of monogenic CM and other heart disease risk factors and outcomes in the AllOfUs biobank. AllOfUs is the largest and most diverse dataset available to researchers large enough to do these analyses. This research aims to investigate differences in rates of PDV classifications and genetic diagnoses in participants with CM by race/ancestry and outcomes by gender/sex. Further, we will explore the prevalence of PDVs, CM and outcomes in participants with PDVs in ANK2, a strong novel gene candidate for CM gene-disease association enriched in a Canadian Indigenous population.
The findings of this study will directly influence clinical guidelines for determining which patients with CM should undergo genetic testing, while highlighting measurable targets for reduction of inequity in precision medicine.
Competitiondate
202511
Approvedterm2
3 yrs 0 mth
Pinamesdelim
Theberge, Emilie
Approvedterm
3 ans 0 mois
Cihrcontribution2
~ $120,000~ $0~