Jennifer Kraszewski
Graduate Trainee, University of Arizona
4 active projects
Duplicate of SDoH
Scientific Questions Being Studied
Will look at the genetic and environmental risk factors for obesity and cardiometabolic disease, will be looking at how these differ across sex, racial/ethnic, and SES groups.
Project Purpose(s)
- Population Health
- Social / Behavioral
- Ancestry
Scientific Approaches
Will be using All of Us datasets to compare groups. Will be focusing on BMI and social determinants of health.
Anticipated Findings
Attempting to see if there is correlation between BMI, social determinants of health, obesity and diabetes.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Controlled TierResearch Team
Owner:
- Yann Klimentidis - Mid-career Tenured Researcher, University of Arizona
- Jennifer Kraszewski - Graduate Trainee, University of Arizona
- Ashley Maxwell - Undergraduate Student, University of Arizona
Duplicate of Demo - PheWAS Smoking
Scientific Questions Being Studied
As a demonstration project, this study will present the results of Phenome-Wide Association Studies (PheWAS) to show how the various sources of data contained within All of Us research dataset can be used to inform scientific discovery. We will perform separate PheWAS studies with smoking status as the independent variable. Specific questions include:
1. How can one implement a PheWAS within the All of Us Researcher Workbench?
2. How can one use heterogeneous data sources within the All of Us dataset to explore disease associations using self-reported exposures (Participant Provided Information, or “PPI”) and exposures captured in the electronic medical record (EHR).
Project Purpose(s)
- Methods Development
- Other Purpose (This work is a result of an All of Us Research Program Demonstration Project. The projects are efforts by the Program designed to meet the program's goal of ensuring the quality and utility of the Research Hub as a resource for accelerating discovery in science and medicine. This work was reviewed and overseen by the All of Us Research Program Science Committee and the Data and Research Center to ensure compliance with program policy, including policies for acceptable data access and use.)
Scientific Approaches
As a method for assessing the health burden of smoking on potential observed phenotypes, we implement a Phenome-Wide Association study. A Phenome-wide association study consists of an array of association tests over an indexed representation of the human phenome. In this analysis, we will conduct PheWAS for EHR derived smoking and PPI derived smoking exposures included in the All of Us research dataset. We will be representing "Smoking Exposure” in three ways:
EHR Smoking ICD Billing Codes
Participant Provided Information (PPI) Smoking lifetime 100 cigarettes yes/no
Participant Provided Information (PPI) Smoking lifetime smoking everyday
To perform PheWAS, we will map ICD representations of disease to a common vocabulary of PheCodes. We then use Jupyter Notebooks to create reusable functions to perform PheWAS and generate Manhattan Plots to summarize associations.
Anticipated Findings
For this study, we anticipate that we will be able to replicate known disease associations with smoking exposure. This will serve to demonstrate the quality, utility, and diversity of the All of Us data and tools and the power of gathering multiple data sources for a single phenotype, providing researchers options for study design and validation. Importantly the entire pheWAS package is made available for reuse by researchers in the Workbench, for new hypothesis generation.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Registered TierDuplicate of How to Work with All of Us Survey Data (v7)
Scientific Questions Being Studied
We recommend that all researchers explore the notebooks in this workspace to learn the basics of All of Us Program Data.
What should you expect?
By running the notebooks in this workspace, you should get familiar with how to query PPI questions/surveys, what the frequencies of answers for each question in each PPI module are.
Project Purpose(s)
- Educational
- Methods Development
- Other Purpose (This is an All of Us Tutorial Workspace created by the Researcher Workbench Support team. It is meant to provide instruction for key Researcher Workbench components and All of Us data representation.)
Scientific Approaches
By running the notebooks in this workspace, you should get familiar with how to query PPI questions/surveys, what the frequencies of answers for each question in each PPI module are.
Anticipated Findings
By reading and running the notebooks in this Tutorial Workspace, researchers will learn the following:
- how to query the survey data,
- how to summarize PPI modules, and questions.
Demographic Categories of Interest
- Race / Ethnicity
- Age
- Sex at Birth
- Gender Identity
- Sexual Orientation
- Geography
- Access to Care
- Education Level
- Income Level
Data Set Used
Registered TierObesity Risk Factors
Scientific Questions Being Studied
We will investigate obesity risk factors stratified by race, gender, ethnicity, age groups as they are related to cardiovascular disease and metabolic disease
Project Purpose(s)
- Disease Focused Research (Obesity and cardiovascular and metabolic risk factors)
Scientific Approaches
We will use descriptive statistics approaches to look at means, distribution, statistical tests such as chi square, linear regression and logistic regression. We will use data on BMI using the physical measurement data and data on social determinants of health.
Anticipated Findings
We are trying to elucidate why some individuals have obesity and better understand causes of obesity including how these factors differ across different groups.
Demographic Categories of Interest
- Race / Ethnicity
- Age
- Sex at Birth
- Gender Identity
- Sexual Orientation
- Geography
- Access to Care
- Education Level
- Income Level
Data Set Used
Registered TierResearch Team
Owner:
- Jennifer Kraszewski - Graduate Trainee, University of Arizona
Collaborators:
- Yann Klimentidis - Mid-career Tenured Researcher, University of Arizona
- Tomas Nuño - Other, University of Arizona
- Elissa Ornelas - Undergraduate Student, University of Arizona
- Ashley Maxwell - Undergraduate Student, University of Arizona
Request a Review of this Research Project
You can request that the All of Us Resource Access Board (RAB) review a research purpose description if you have concerns that this research project may stigmatize All of Us participants or violate the Data User Code of Conduct in some other way. To request a review, you must fill in a form, which you can access by selecting ‘request a review’ below.
