Hui YU

Project Personnel, University of Miami

4 active projects

Chung-Autoimmune

We are interested in two immunological diseases: arthritis and lupus. At the beginning, we'll find out if there are a considerable number of participants in AoU that have the diagnosis of either disease.

Scientific Questions Being Studied

We are interested in two immunological diseases: arthritis and lupus. At the beginning, we'll find out if there are a considerable number of participants in AoU that have the diagnosis of either disease.

Project Purpose(s)

  • Disease Focused Research (arthritis and lupus)

Scientific Approaches

Classic statistic tests and some genomic-level bioinformatics approaches. We'll utilize the SNP profiling data to make some genetic inferences.

Anticipated Findings

If we can make any interesting discoveries, the results may eventually translate to clinical practices to help with diagnosis, intervention, and prognostic prediction of patients plagued with these annoying diseases.

Demographic Categories of Interest

  • Race / Ethnicity

Data Set Used

Controlled Tier

Research Team

Owner:

  • Hui YU - Project Personnel, University of Miami

Duplicate of How to Work with All of Us Genomic Data (Hail - Plink)(v7)

Not applicable - these notebooks demonstrate example analysis how to use Hail and PLINK to perform genome-wide association studies using the All of Us genomic data and phenotypic data.

Scientific Questions Being Studied

Not applicable - these notebooks demonstrate example analysis how to use Hail and PLINK to perform genome-wide association studies using the All of Us genomic data and phenotypic data.

Project Purpose(s)

  • Other Purpose ((Copied to) Demonstrate to the All of Us Researcher Workbench users how to get started with the All of Us genomic data and tools. It includes an overview of all the All of Us genomic data and shows some simple examples on how to use these data.)

Scientific Approaches

Not applicable - these notebooks demonstrate example analysis how to use Hail and PLINK to perform genome-wide association studies using the All of Us genomic data and phenotypic data.

Anticipated Findings

Not applicable - these notebooks demonstrate example analysis how to use Hail and PLINK to perform genome-wide association studies using the All of Us genomic data and phenotypic data.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

  • Hui YU - Project Personnel, University of Miami

PCa SDOH & Prognostic genomics

We aim to identify demographical variables that are associated with the incidence rate and treatment choice of prostate cancer in All of Us participants. Further, we will compare the genetic landscape (GWAS) between prostate subjects and non-prostate subjects.

Scientific Questions Being Studied

We aim to identify demographical variables that are associated with the incidence rate and treatment choice of prostate cancer in All of Us participants. Further, we will compare the genetic landscape (GWAS) between prostate subjects and non-prostate subjects.

Project Purpose(s)

  • Disease Focused Research (prostate cancer)

Scientific Approaches

For the demographics survey part, we'll apply standard statistical tests such as ANOVA, t-test, and Mann-Whitney U as appropriate. For the GWAS part, we'll apply state-of-the-art bioinformatics approaches with necessary adaption towards our specific research goals.

Anticipated Findings

We would like to see if any demographical variable other than age will show significance association with prostate cancer incidence or treatment choice.

Demographic Categories of Interest

  • Race / Ethnicity
  • Sexual Orientation
  • Disability Status
  • Access to Care
  • Education Level
  • Income Level

Data Set Used

Controlled Tier

Research Team

Owner:

  • Hui YU - Project Personnel, University of Miami

Duplicate of How to Work with All of Us Survey Data (v6)

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…

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

Research Team

Owner:

  • Hui YU - Project Personnel, University of Miami
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