Whitney Teagle

National Institutes of Health (NIH)

2 active projects

Cardio

We are looking to characterize the environmental and genetic contributions to health disparities, specifically looking at ancestry as a factor. Currently we are exploring the data to formalize a specific research question, but we are hoping to work with a…

Scientific Questions Being Studied

We are looking to characterize the environmental and genetic contributions to health disparities, specifically looking at ancestry as a factor. Currently we are exploring the data to formalize a specific research question, but we are hoping to work with a disease with greater health disparities, most of which are cardiovascular diseases.

Project Purpose(s)

  • Disease Focused Research (Cardiovascular and metabolic diseases)
  • Population Health
  • Social / Behavioral
  • Ancestry

Scientific Approaches

We will be using the All of Us dataset and/or the UK Biobank dataset. We will primarily use R to conduct a GWAS, PheWAS, PRS, and/or mendelian randomization study. The specific approach will be determined once the research question has been more fleshed-out.

Anticipated Findings

We anticipate finding how ancestry interacts with other factors to create the disparities in health outcomes that we observe today. We are hoping that this knowledge will lead to targeted interventions to advance towards health equity.

Demographic Categories of Interest

  • Race / Ethnicity

Research Team

Owner:

Comorbidities

We are hoping to compare the All of Us study population with the UK Biobank in answering the following questions: 1. Are there morbidity disparities between ethnic groups? 2. Are there comorbidity disparities between ethnic groups, with respect to the…

Scientific Questions Being Studied

We are hoping to compare the All of Us study population with the UK Biobank in answering the following questions:

1. Are there morbidity disparities between ethnic groups?
2. Are there comorbidity disparities between ethnic groups, with respect to the overall burden of comorbidities for each ethnic group?
3.1 Do comorbidity disparities between ethnic groups impact disease outcomes, with respect to the overall burden of comorbidities for each disease?
3.2 Do comorbidity disparities between ethnic groups impact disease outcomes, with respect to specific disease-risk factor comorbidities?

Overall, we hope to determine how comorbidities may serve as risk factors for ethnic health disparities.

Project Purpose(s)

  • Population Health
  • Ancestry

Scientific Approaches

We will be using the All of Us dataset alongside the UK Biobank, with a focus on the All of Us populations. In this study, we will be using the Elixhauser Comorbidity Index to categorize and describe comorbidities. For our analysis, we will be using a primarily network-based approach. All analyses will be conducted in R or Cytoscape. Limitations include that electronic health records may not have complete health information on participants, as these records depend on the presence of insurance billing codes.

Anticipated Findings

We anticipate that we will find:

1. Morbidity disparities between ethnic groups;
2. Comorbidity disparities between ethnic groups;
3. Specific comorbidity risk factors which differentially affect disease outcomes in ethnic groups.

Additionally, we anticipate that our results will have similarities to previous findings in the UK Biobank. However, specific disparities may be different, especially since ethnic categories are different in the United States compared with the United Kingdom. We will also investigate environmental and social factors which may be contributing to the differences we find between the two study populations. Finally, we may follow up this study with looking at genetic contributions to our results.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

Collaborators:

  • Maria Ahmad - Project Personnel, NIH
  • Leonardo Marino-Ramirez - Senior Researcher, NIH
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