Julian Acosta
Research Fellow, Yale University
4 active projects
Determinants of cardiovascular disease across minority populations V5
Scientific Questions Being Studied
Cardiovascular disease (CVD) are responsible for a substantial proportion of the morbidity and mortality observed in the general population. Mounting evidence indicates that this impact disproportionately affects minority populations. This disproportionate effect is not only present in minorities defined by race/ethnicity, but also in those defined by age, sexual orientation, and other characteristics. The main questions of this study are: (1) can we use All of US to identify novel risk factors for cardiovascular disease that are specific to a given minority group? (2) Are existing risk factors for CVD shared across all minority groups? (3) How do the effects of these risk factors vary when considering more than one minority group? These questions are important to (1) identify groups of persons at particularly high risk of sustaining these conditions that may benefit from tailored diagnostic and therapeutic interventions; and (2) identify new treatments for these conditions.
Project Purpose(s)
- Disease Focused Research (cardiovascular system disease)
- Population Health
- Social / Behavioral
- Ancestry
Scientific Approaches
We will use the All of US dataset V5. We will identify variables that represent (1) cardiovascular disease (myocardial infarction, coronary artery disease, stroke); (2) all the known cardiovascular risk factors for each of these conditions; (3) physiological variables that either define a risk factor or are associated with risk of cardiovascular disease (blood pressure, cholesterol levels, hemoglobin A1C); (4) social determinants of health; and (5) identify the underrepresented groups of interest. We will use linear and logistic regression to test for association between cardiovascular risk factors, social determinants of health, and the conditions of interest, and product terms to test for effect modification between contributor variables.
Anticipated Findings
We expect to find that: (1) a substantial number of the known vascular risk factors increase risk of cardiovascular disease across all evaluated groups; (2) both social determinants of health and known cardiovascular risk factors are independently associated with these cardiovascular conditions; and (3) there are interactions between the effect of social determinants of health and known cardiovascular risk factors. These findings will helps us to (1) identify groups of persons at particularly high risk of sustaining these conditions that may benefit from tailored diagnostic and therapeutic interventions; and (2) identify new treatments for these conditions.
Demographic Categories of Interest
- Race / Ethnicity
- Age
- Sex at Birth
- Gender Identity
- Sexual Orientation
- Geography
- Disability Status
- Access to Care
- Education Level
- Income Level
Data Set Used
Registered TierResearch Team
Owner:
- Julian Acosta - Research Fellow, Yale University
- Guido Falcone - Early Career Tenure-track Researcher, Yale University
- Cyprien Rivier - Research Fellow, Yale University
- Audrey Leasure - Graduate Trainee, Yale University
Collaborators:
- Zachariah Demarais - Graduate Trainee, Yale University
- Victor Torres-Lopez - Project Personnel, Yale University
- Natalia Szejko - Project Personnel, Yale University
- Marcus Alexander - Graduate Trainee, Yale University
- Kate Meurer - Project Personnel, Yale University
- Jisoo Kim - Project Personnel, Yale University
- Daniela Renedo - Research Fellow, Yale University
- Carolyn Conlon - Graduate Trainee, Yale University
Social and biological determinants of cardiovascular disease
Scientific Questions Being Studied
Cardiovascular disease (CVD) are responsible for a substantial proportion of the morbidity and mortality observed in the general population. Mounting evidence indicates that this impact disproportionately affects minority populations. Most factors underlying these health disparities pertain to the social determinants of health, but it is unclear how biological factors play a role or interact with these social determinants. The main questions of this study are: (1) can we use All of US to identify novel risk factors for cardiovascular disease that are specific to a given minority group? (2) Are existing risk factors for CVD shared across all minority groups? (3) Can we disentangle the contributions of social determinants of health and biological factors contributing to cardiovascular disease? These questions are important to develop precision medicine strategies to identify high-risk individuals across underrepresented groups for tailored diagnostic and therapeutic interventions.
Project Purpose(s)
- Disease Focused Research (cardiovascular system disease)
- Population Health
- Social / Behavioral
- Ancestry
Scientific Approaches
We will use the All of US dataset V5. We will identify variables that represent (1) cardiovascular disease (myocardial infarction, coronary artery disease, stroke); (2) all the known risk factors for each of these conditions; (3) physiological variables that either define a risk factor or are associated with risk of cardiovascular disease (blood pressure, cholesterol levels, hemoglobin A1C); (4) polygenic risk scores for these conditions and their corresponding risk factors; and (5) identify the underrepresented groups of interest. We will use linear and logistic regression to test for association between risk factors, social determinants of health, genomic risk scores, and the conditions of interest, and product terms to test for effect modification between contributor variables.
Anticipated Findings
We expect to find that: (1) a substantial number of the known vascular risk factors increase risk of cardiovascular disease across all evaluated groups; (2) both social determinants of health and polygenic susceptibility are independently associated with these cardiovascular conditions; and (3) there are interactions between the effect of social determinants of health and polygenic contribution to disease. These findings will help us develop and test precision medicine strategies to identify high-risk individuals across underrepresented groups for tailored diagnostic and therapeutic interventions.
Demographic Categories of Interest
- Race / Ethnicity
- Age
- Sex at Birth
- Gender Identity
- Sexual Orientation
- Geography
- Disability Status
- Access to Care
- Education Level
- Income Level
Data Set Used
Controlled TierResearch Team
Owner:
- Julian Acosta - Research Fellow, Yale University
- Cyprien Rivier - Research Fellow, Yale University
Collaborators:
- Zachariah Demarais - Graduate Trainee, Yale University
- Marcus Alexander - Graduate Trainee, Yale University
- Daniela Renedo - Research Fellow, Yale University
- Carolyn Conlon - Graduate Trainee, Yale University
Determinants of cardiovascular disease across minority populations V4
Scientific Questions Being Studied
Cardiovascular disease (CVD) are responsible for a substantial proportion of the morbidity and mortality observed in the general population. Mounting evidence indicates that this impact disproportionately affects minority populations. This disproportionate effect is not only present in minorities defined by race/ethnicity, but also in those defined by age, sexual orientation, and other characteristics. The main questions of this study are: (1) can we use All of US to identify novel risk factors for cardiovascular disease that are specific to a given minority group? (2) Are existing risk factors for CVD shared across all minority groups? (3) How do the effects of these risk factors vary when considering more than one minority group? These questions are important to (1) identify groups of persons at particularly high risk of sustaining these conditions that may benefit from tailored diagnostic and therapeutic interventions; and (2) identify new treatments for these conditions.
Project Purpose(s)
- Disease Focused Research (cardiovascular system disease)
- Population Health
- Social / Behavioral
- Ancestry
Scientific Approaches
We will use the All of US dataset V4. We will identify variables that represent (1) cardiovascular disease (myocardial infarction, coronary artery disease, stroke); (2) all the known cardiovascular risk factors for each of these conditions; (3) physiological variables that either define a risk factor or are associated with risk of cardiovascular disease (blood pressure, cholesterol levels, hemoglobin A1C); (4) social determinants of health; and (5) identify the underrepresented groups of interest. We will use linear and logistic regression to test for association between cardiovascular risk factors, social determinants of health, and the conditions of interest, and product terms to test for effect modification between contributor variables.
Anticipated Findings
We expect to find that: (1) a substantial number of the known vascular risk factors increase risk of cardiovascular disease across all evaluated groups; (2) both social determinants of health and known cardiovascular risk factors are independently associated with these cardiovascular conditions; and (3) there are interactions between the effect of social determinants of health and known cardiovascular risk factors. These findings will helps us to (1) identify groups of persons at particularly high risk of sustaining these conditions that may benefit from tailored diagnostic and therapeutic interventions; and (2) identify new treatments for these conditions.
Demographic Categories of Interest
- Race / Ethnicity
- Age
- Sex at Birth
- Gender Identity
- Sexual Orientation
- Geography
- Disability Status
- Access to Care
- Education Level
- Income Level
Data Set Used
Registered TierResearch Team
Owner:
- Julian Acosta - Research Fellow, Yale University
- Guido Falcone - Early Career Tenure-track Researcher, Yale University
- Audrey Leasure - Graduate Trainee, Yale University
Collaborators:
- Zachariah Demarais - Graduate Trainee, Yale University
- Daniela Renedo - Research Fellow, Yale University
- Cyprien Rivier - Research Fellow, Yale University
- Carolyn Conlon - Graduate Trainee, Yale University
Determinants of cardiovascular disease across minority populations
Scientific Questions Being Studied
Cardiovascular disease (CVD) are responsible for a substantial proportion of the morbidity and mortality observed in the general population. Mounting evidence indicates that this impact disproportionately affects minority populations. This disproportionate effect is not only present in minorities defined by race/ethnicity, but also in those defined by age, sexual orientation, and other characteristics. The main questions of this study are: (1) can we use All of US to identify novel risk factors for cardiovascular disease that are specific to a given minority group? (2) Are existing risk factors for CVD shared across all minority groups? (3) How do the effects of these risk factors vary when considering more than one minority group? These questions are important to (1) identify groups of persons at particularly high risk of sustaining these conditions that may benefit from tailored diagnostic and therapeutic interventions; and (2) identify new treatments for these conditions.
Project Purpose(s)
- Disease Focused Research (cardiovascular system disease)
- Population Health
- Social / Behavioral
- Ancestry
Scientific Approaches
We will use the All of US dataset V3. We will identify variables that represent (1) cardiovascular disease (myocardial infarction, coronary artery disease, stroke); (2) all the known risk factors for each of these conditions; (3) physiological variables that either define a risk factor or are associated with risk of cardiovascular disease (blood pressure, cholesterol levels, hemoglobin A1C); and (4) identify the minority groups of interest. We will use linear and logistic regression to test for association between risk factors and the conditions of interest.
Anticipated Findings
We expect to find that: (1) a substantial number of the known vascular risk factors increase risk of cardiovascular disease in across all evaluated groups; (2) known risk factors for cardiovascular disease disproportionately affect some minority groups; and (3) the effect of these risk factors will be stronger in some minority groups. These findings will helps us to (1) identify groups of persons at particularly high risk of sustaining these conditions that may benefit from tailored diagnostic and therapeutic interventions; and (2) identify new treatments for these conditions.
Demographic Categories of Interest
- Race / Ethnicity
- Age
- Sex at Birth
- Gender Identity
- Sexual Orientation
- Geography
- Disability Status
- Access to Care
- Education Level
- Income Level
Data Set Used
Registered TierResearch Team
Owner:
- Julian Acosta - Research Fellow, Yale University
- Guido Falcone - Early Career Tenure-track Researcher, Yale University
- Audrey Leasure - Graduate Trainee, Yale University
Collaborators:
- Zachariah Demarais - Graduate Trainee, Yale University
- Carolyn Conlon - Graduate Trainee, Yale University
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