Paola Giusti-Rodriguez

University of Florida

6 active projects

Duplicate of Discrimination and mental health

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…

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 Tier

Research Team

Owner:

Collaborators:

  • Cameron Atighetchi - Graduate Trainee, California State University, Northridge

Discrimination and mental health

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…

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 Tier

Research Team

Owner:

Collaborators:

  • Cameron Atighetchi - Graduate Trainee, California State University, Northridge

Test Run Quick Demo of Plots and Analyses

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…

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 Tier

Research Team

Owner:

"Exploring Hypertension Data Types"

Not applicable- this Workspace is intended for educational purposes at the 2022 UBR Faculty Summit to learn how to use the Researcher Workbench by analyzing a data type for hypertension.

Scientific Questions Being Studied

Not applicable- this Workspace is intended for educational purposes at the 2022 UBR Faculty Summit to learn how to use the Researcher Workbench by analyzing a data type for hypertension.

Project Purpose(s)

  • Educational

Scientific Approaches

Not applicable- this Workspace is intended for educational purposes at the 2022 UBR Faculty Summit to learn how to use the Researcher Workbench by analyzing a data type for hypertension.

Anticipated Findings

Not applicable- this Workspace is intended for educational purposes at the 2022 UBR Faculty Summit to learn how to use the Researcher Workbench by analyzing a data type for hypertension.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

Practice- Studies of Autosomal Dominant Polycystic Kidney Disease (ADPKD)

Not applicable - this workspace is intended to be an example of how use the Researcher Workbench by studying participants with Autosomal Polycystic Kidney Disease (ADPKD)

Scientific Questions Being Studied

Not applicable - this workspace is intended to be an example of how use the Researcher Workbench by studying participants with Autosomal Polycystic Kidney Disease (ADPKD)

Project Purpose(s)

  • Educational

Scientific Approaches

Not applicable - this workspace is intended to be an example of how use the Researcher Workbench by studying participants with Autosomal Polycystic Kidney Disease (ADPKD)

Anticipated Findings

Not applicable - this workspace is intended to be an example of how use the Researcher Workbench by studying participants with Autosomal Polycystic Kidney Disease (ADPKD)

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

Practice-Introductory example of GWAS with type 2 diabetes phenotype

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.

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 Tier

Research Team

Owner:

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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.