Victoria Mgbemena
Early Career Tenure-track Researcher, Baylor College of Medicine
4 active projects
PCa_v7
Scientific Questions Being Studied
Prostate Adenocarcinoma (PRAD) is associated with 1 in 25 African American men deaths, compared to 1 in 45 White American men deaths. Genetic and societal factors may contribute to this racial disparity and our project aims to shed light in both factors. Our goals are to find ethnic specific risk factors using survey-based features and genetic risk factors using the genetic variants data.
Project Purpose(s)
- Disease Focused Research (prostate cancer)
- Population Health
- Educational
- Methods Development
- Ancestry
Scientific Approaches
To achieve our goals we will use statistical tests and state-of-the-art tools to compare case and control genomes in order to identify variants that appear disproportionally in cases and genes with heavy variant load in cases. Such tools include the Evolutionary Action method and the software packages EMMAX and ACAT, amongst others.
Anticipated Findings
We anticipate obtaining lists of candidate genes and their variants that drive PRAD in African American men and in White American men, which we will contrast and compare with the current knowledge (e.g. BRCA1, BRCA2, and HOXB13 genes). This work may provide new genetic targets that affect the development and progression of PRAD, especially amongst the African American men and reduce the racial disparity in genetic risk diagnosis.
Demographic Categories of Interest
- Race / Ethnicity
Data Set Used
Controlled TierResearch Team
Owner:
- Victoria Mgbemena - Early Career Tenure-track Researcher, Baylor College of Medicine
- Sabur Badmos - Research Fellow, University of Texas at El Paso
- Lesley Chapman Hannah - Research Fellow, National Cancer Institute (NIH - NCI)
- Kimiko Krieger - Research Fellow, Baylor College of Medicine
- Panagiotis Katsonis - Other, Baylor College of Medicine
- Jose Nolazco - Research Fellow, Baylor College of Medicine
- Deyana Lewis - Research Fellow, National Institutes of Health (NIH)
Collaborators:
- Jun Qian - Other, All of Us Program Operational Use
Dream_Team
Scientific Questions Being Studied
Prostate Adenocarcinoma (PRAD) is associated with 1 in 25 African American men deaths, compared to 1 in 45 White American men deaths. Genetic and societal factors may contribute to this racial disparity and our project aims to shed light in both factors. Our goals are to find ethnic specific risk factors using survey-based features and genetic risk factors using the genetic variants data.
Project Purpose(s)
- Disease Focused Research (prostate cancer)
- Population Health
- Educational
- Methods Development
- Ancestry
Scientific Approaches
To achieve our goals we will use statistical tests and state-of-the-art tools to compare case and control genomes in order to identify variants that appear disproportionally in cases and genes with heavy variant load in cases. Such tools include the Evolutionary Action method and the software packages EMMAX and ACAT, amongst others.
Anticipated Findings
We anticipate obtaining lists of candidate genes and their variants that drive PRAD in African American men and in White American men, which we will contrast and compare with the current knowledge (e.g. BRCA1, BRCA2, and HOXB13 genes). This work may provide new genetic targets that affect the development and progression of PRAD, especially amongst the African American men and reduce the racial disparity in genetic risk diagnosis.
Demographic Categories of Interest
- Race / Ethnicity
Data Set Used
Controlled TierResearch Team
Owner:
- Victoria Mgbemena - Early Career Tenure-track Researcher, Baylor College of Medicine
- Sabur Badmos - Research Fellow, University of Texas at El Paso
- Lesley Chapman Hannah - Research Fellow, National Cancer Institute (NIH - NCI)
- Kimiko Krieger - Research Fellow, Baylor College of Medicine
- Panagiotis Katsonis - Other, Baylor College of Medicine
- Jose Nolazco - Research Fellow, Baylor College of Medicine
- Deyana Lewis - Research Fellow, National Institutes of Health (NIH)
Collaborators:
- Jun Qian - Other, All of Us Program Operational Use
Duplicate of Demo - Hypertension Prevalence
Scientific Questions Being Studied
We are using the All of Us Researcher Workbench interface to answer the question, "Is hypertension prevalence in the All of Us Research Program similar to hypertension prevalence in the 2015–2016 National Health and Nutrition Examination Survey (NHANES) ?". Clinical approaches to understanding and treating hypertension may benefit from the integration of a precision medicine approach that integrates data on environments, social determinants of health, behaviors, and genomic factors that contribute to hypertension risk. Hypertension is a major public health concern and remains a leading risk factor for stroke and cardiovascular disease.
Project Purpose(s)
- Other Purpose (This work is an AoU demo project. Demo projects are efforts by the AoU Research Program designed to meet the program goal of ensuring the quality and utility of the Research Hub as a resource for accelerating discovery in science and medicine. As an approved demo project, this work was reviewed and overseen by the AoU Research Program Science Committee and the AoU Data and Research Center to ensure compliance with program policy, including policies for acceptable data access and use. )
Scientific Approaches
In this cross-sectional, population-based study, we used All of Us baseline data from patient (age>18) provided information (PPI) surveys and electronic health record (EHR) blood pressure measurements and retrospectively examined the prevalence of hypertension in the EHR cohort using Systemized Nomenclature of Medicine (SNOMED codes and blood pressure medications recorded in the EHR. We used the EHR data (SNOMED codes on 2 distinct dates and at least one hypertension medication) as the primary definition, and then add subjects with elevated systolic or elevated diastolic blood pressure on measurements 2 and 3 from PPI. We extracted each participant’s detailed dates of SNOMED code for essential hypertension from the Researcher Workbench table ‘cb_search_all_events’. We calculated an age-standardized HTN prevalence according to the age distribution of the U.S. Census, using 3 groups (18-39, 40-59, ≥ 60).
Anticipated Findings
The prevalence of hypertension in the All of Us cohort is similar to that of published literature. All of Us age-adjusted HTN prevalence was 27.9% compared to 29.6% in National Health and Nutrition Examination Survey. The All of Us cohort is a growing source of diverse longitudinal data that can be utilized to study hypertension nationwide. The prevalence of hypertension varies in the United States (U.S.) by age, sex, and socioeconomic status. Hypertension can often be treated successfully with medication, and prevented or delayed with lifestyle modifications. Even with these established hypertension intervention and prevention strategies, the prevalence of hypertension continues to be at levels of public health concern. The diversity within All of Us may provide insight into factors relevant to hypertension prevention and treatments in a variety of social and geographic contexts and population strata in the U.S.
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:
- Victoria Mgbemena - Early Career Tenure-track Researcher, Baylor College of Medicine
Duplicate of Introductory example of GWAS with type 2 diabetes phenotype
Scientific Questions Being Studied
Not applicable - this workspace is intended to be an introductory example of how to do a genome-wide association study on the All of Us genomic data that individuals can easily click through and understand.
Project Purpose(s)
- Educational
Scientific Approaches
Not applicable - this workspace is intended to be an introductory example of how to do a genome-wide association study on the All of Us genomic data that individuals can easily click through and understand.
Anticipated Findings
Not applicable - this workspace is intended to be an introductory example of how to do a genome-wide association study on the All of Us genomic data that individuals can easily click through and understand.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Controlled TierResearch Team
Owner:
- Victoria Mgbemena - Early Career Tenure-track Researcher, Baylor College of Medicine
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