Slavina Goleva

Research Fellow, National Institutes of Health (NIH)

3 active projects

Duplicate of 2021 Update: DJS: PheWAS Final Review 11-01-2021

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…

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).”

There is no pre-specified hypothesis. It is important to determine if PheWAS can be conducted within the All of Us workbench

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 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).”

There is no pre-specified hypothesis. It is important to determine if PheWAS can be conducted within the All of Us workbench

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.

Research Team

Owner:

  • Slavina Goleva - Research Fellow, National Institutes of Health (NIH)

Duplicate of Phenotype - Dementia (tier 5)

The Notebooks in this Workspace can be used to implement well-known phenotype algorithms in one’s own research.

Scientific Questions Being Studied

The Notebooks in this Workspace can be used to implement well-known phenotype algorithms in one’s own research.

Project Purpose(s)

  • Educational
  • Methods Development
  • Other Purpose (This is an All of Us Phenotype Library Workspace created by the Researcher Workbench Support team. It is meant to demonstrate the implementation of key phenotype algorithms within the All of Us Research Program cohort.)

Scientific Approaches

Not Applicable

Anticipated Findings

By reading and running the Notebooks in this Phenotype Library Workspace, researchers can implement the following phenotype algorithms:

Ritchie, M., Denny, J., Crawford, D., Ramirez, A., Weiner, J., … Roden, D. (2010). Robust replication of genotype-phenotype associations across multiple diseases in an electronic medical record. American Journal of Human Genetics. 87(2):310 doi: 10.1016/j.ajhg.2010.03.003

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

  • Slavina Goleva - Research Fellow, National Institutes of Health (NIH)

Dementia-Alzheimer's-CRP

Do CRP levels change with age in dementia/Alzheimer's patients as opposed to controls? Associations have shown that these protein levels are increased in Alzheimer's patients, and this will help answer whether patients' CRP levels are elevated naturally or if it…

Scientific Questions Being Studied

Do CRP levels change with age in dementia/Alzheimer's patients as opposed to controls? Associations have shown that these protein levels are increased in Alzheimer's patients, and this will help answer whether patients' CRP levels are elevated naturally or if it is something that happens over time as a result of the disease progression.

Project Purpose(s)

  • Disease Focused Research (Dimentia/Alzheimer's)

Scientific Approaches

Datasets - AOU phenotyping and lab data Research methods and tools - clean and summarize lab data for CRP - average by decile of age and disease status and plot in R.

Anticipated Findings

I anticipate that CRP levels will be elevated in Alzheimer's after disease progression. This would help answer cause and effect of the two

Demographic Categories of Interest

  • Age

Research Team

Owner:

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