Cameron Atighetchi
Graduate Trainee, California State University, Northridge
2 active projects
Duplicate of How to Work with All of Us Survey Data (v6)
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
This study will not center on underrepresented populations.
Data Set Used
Registered Tier
SLE
Scientific Questions Being Studied
Our lab studies several aspects of autoimmune disorders including genetic association, gene expression, and occurrence with other diseases, in particular, how these vary across human populations. We would like to use the All of Us workbench to see if we can leverage more information (genetic, clinic, etc.) for our studies. The research questions related to the All of Us dataset are:
- What are the genetic loci associated with systemic lupus erythematosus (SLE) in diverse populations?
- What are the comorbidities associated with SLE in diverse populations?
This project will shed light on SLE gene architecture in diverse populations and how different ancestries (particularly underrepresented ancestries in SLE studies) are subject to different risk factors for SLE and SLE comorbidities.
Project Purpose(s)
- Disease Focused Research (systemic lupus erythematosus)
- Population Health
- Control Set
- Ancestry
Scientific Approaches
We plan to use SLE cases and matched controls from the All of Us workbench.
We will use methods for genome-wide association study (GWAS) to analyze the genetic data and statistical methods to analyze the clinical data.
Anticipated Findings
We expect to find genomic loci associated with SLE and its different manifestations in diverse populations. We also expect to find differences in the frequency of comorbidities across populations.
Demographic Categories of Interest
- Race / Ethnicity
- Age
- Sex at Birth
Data Set Used
Controlled TierResearch Team
Owner:
- Carlos Eduardo Guerra Amorim - Early Career Tenure-track Researcher, California State University, Northridge
- Cameron Atighetchi - Graduate Trainee, California State University, Northridge
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.
