Research Projects Directory

Research Projects Directory

1,940 active projects

This information was updated 7/1/2022

The Research Projects Directory includes information about all projects that currently exist in the Researcher Workbench to help provide transparency about how the Workbench is being used. Each project specifies whether Registered Tier or Controlled Tier data are used.

Note: Researcher Workbench users provide information about their research projects independently. Views expressed in the Research Projects Directory belong to the relevant users and do not necessarily represent those of the All of Us Research Program. Information in the Research Projects Directory is also cross-posted on AllofUs.nih.gov in compliance with the 21st Century Cures Act.

4 projects have 'Acosta' in the project owner - last name
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Social and biological determinants of cardiovascular disease

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…

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 Tier

Research Team

Owner:

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

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…

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 Tier

Research Team

Owner:

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 V5

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…

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 Tier

Research Team

Owner:

Collaborators:

  • Zachariah Demarais - Graduate Trainee, Yale University
  • Victor Torres-Lopez - 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

Determinants of cardiovascular disease across minority populations

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…

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 Tier

Research Team

Owner:

Collaborators:

  • Zachariah Demarais - Graduate Trainee, Yale University
  • Carolyn Conlon - Graduate Trainee, Yale University
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