Carlos Eduardo Guerra Amorim
Early Career Tenure-track Researcher, California State University, Northridge
4 active projects
Discrimination and mental health
Scientific Questions Being Studied
This study aims to understand the interplay between gene x environment (perceived discrimination) on mental health outcomes in diverse populations. We will evaluate sociodemographic phenotypic correlations with perceived discrimination across populations, conduct a genome-wide association and genome-wide interaction study of mental health disorders and perceived discrimination, and integrate genomic and sociodemographic data to identify risk factors for mental health disorders in diverse populations. Underrepresented groups are widely disproportionally affected by discrimination, which can have long-lasting influences on the individual’s wellbeing and mental health. We will leverage the diversity of the All of Us cohort to focus on the study of non-European populations, which are widely underrepresented in genomics studies, to investigate the interplay between genetic risk factors and perceived discrimination in the context of mental health disorders.
Project Purpose(s)
- Disease Focused Research (psychiatric disorders)
- Social / Behavioral
- Ancestry
Scientific Approaches
Datasets: All of Us participants who answered the Everyday Discrimination Scale from the COVID-19 Participant Experience (COPE) Survey and have genetic data available through the workbench.
Research Methods: genetic analysis (genome-wide association study [GWAS], polygenic risk score [PRS, phenome-wide association studies [PheWAS], PRSpheWAS, genome-wide by environment interaction studies [GWEIS]
Tools: R, Python, Hail, PHESANT package, PRSice
Anticipated Findings
A recent study in JAMA Psychiatry reported increased levels of discrimination associated with higher depressive symptoms, disproportionally affecting underrepresented Hispanic or Latino and non-Hispanic Asian groups from the All of Us cohort (PMID: 35895053). We expect to find phenotypic associations between discrimination and mental health disorders, and identify genetic factors that interact with discrimination in the context of mental health, including depression, anxiety, and substance use disorders. We expect to identify socio-demographic characteristics that are associated with the gene x discrimination interplay.
Demographic Categories of Interest
- Race / Ethnicity
- Age
- Sex at Birth
- Gender Identity
- Sexual Orientation
Data Set Used
Controlled TierResearch Team
Owner:
- Janitza Montalvo-Ortiz - Early Career Tenure-track Researcher, Yale University
- Paola Giusti-Rodriguez - Other, University of Florida
- Carlos Eduardo Guerra Amorim - Early Career Tenure-track Researcher, California State University, Northridge
- Bassent Abdelbary - Other, University of Texas, Rio Grande Valley
Collaborators:
- Cameron Atighetchi - Graduate Trainee, California State University, Northridge
Duplicate of Quick Demo of Plots and Analyses
Scientific Questions Being Studied
Not applicable - this workspace is intended to be an introductory example of how to easily click-through analyses for new users to the All of Us Researcher Workbench with whom this Notebook will be shared. This workspace is adapted from the demo workspace "How to Get Started with the Registered Tier Data"
Project Purpose(s)
- Educational
- Methods Development
Scientific Approaches
Not applicable - this workspace is intended to be an introductory example of how to easily click-through analyses for new users to the All of Us Researcher Workbench with whom this Notebook will be shared. This workspace is adapted from the demo workspace "How to Get Started with the Registered Tier Data"
Anticipated Findings
Not applicable - this workspace is intended to be an introductory example of how to easily click-through analyses for new users to the All of Us Researcher Workbench with whom this Notebook will be shared. This workspace is adapted from the demo workspace "How to Get Started with the Registered Tier Data"
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Registered TierResearch Team
Owner:
- Carlos Eduardo Guerra Amorim - Early Career Tenure-track Researcher, California State University, Northridge
Collaborators:
- Cameron Atighetchi - Graduate Trainee, California State University, Northridge
Duplicate (January 2023) of Intro GWAS type 2 diabetes
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:
- Carlos Eduardo Guerra Amorim - Early Career Tenure-track Researcher, California State University, Northridge
Collaborators:
- Cameron Atighetchi - Graduate Trainee, California State University, Northridge
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.
