Ivann Agapito

Graduate Trainee, University of California, Irvine

3 active projects

Heart Study v7

Outcomes reasearch for ASCVD or HF.

Scientific Questions Being Studied

Outcomes reasearch for ASCVD or HF.

Project Purpose(s)

  • Disease Focused Research (ASCVD and HF)
  • Population Health
  • Social / Behavioral
  • Drug Development

Scientific Approaches

Using matching and regression analysis.

Anticipated Findings

Clinical development and treatment awareness

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

  • Ivann Agapito - Graduate Trainee, University of California, Irvine

Collaborators:

  • Tu Hoang - Graduate Trainee, University of California, Irvine

AYA Cancer Survivorship v7(Controlled)

With improvements in the early detection and treatment of malignancies, the number of cancer survivors is anticipated to increase dramatically over the next decade. However, cancer survivors are often at risk of long-term morbidities, related directly to the cancer itself,…

Scientific Questions Being Studied

With improvements in the early detection and treatment of malignancies, the number of cancer survivors is anticipated to increase dramatically over the next decade. However, cancer survivors are often at risk of long-term morbidities, related directly to the cancer itself, to pre-existing co-morbidities and especially to their anti-cancer therapies. Toxicities from anti-cancer treatment are detrimental and survivors are often plagued by a wide range of treatment-induced toxicities that lead to functional impairment at significant economic, emotional and social cost. Clearly, the healthcare needs of survivors are tremendous during survivorship. This study is designed to investigate the predictors of long-term morbidities in cancer survivors, with a focus on clinical, demographic and genetic predispositions.

Project Purpose(s)

  • Disease Focused Research (Complications arise from cancer and cancer-treatment)
  • Social / Behavioral
  • Ancestry

Scientific Approaches

A cohort of cancer survivors will be nested using the database. Various clinical, demographic and genetic variables will be evaluated on their associations with complications in cancer survivors. Complications of cancer survivors are investigated using a number of outcomes, including patient-related outcomes, healthcare utilizations (unnecessary admissions and medication use), as well as economic outcomes. Factors associated with higher risks for complications of cancer treatment will be investigated.

Anticipated Findings

It is anticipated certain clinical outcomes (such as comorbidities as well as certain cancers) will prone survivors to higher risks of having complications. This will allow interventional studies or prevention studies that can be designed to cater for specific patient populations.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

  • Ivann Agapito - Graduate Trainee, University of California, Irvine
  • Ding Quan Ng - Graduate Trainee, University of California, Irvine

How to Work with All of Us Genomic Data (Hail - Plink)(v6)

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 (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:

  • Ivann Agapito - Graduate Trainee, University of California, Irvine
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