Ryan Fan
Graduate Trainee, Yale University
4 active projects
Epidemiology of Inflammatory Skin Conditions v6
Scientific Questions Being Studied
We are interested in studying the epidemiology of inflammatory skin conditions and diseases associated with inflammatory skin conditions.
Project Purpose(s)
- Disease Focused Research (Inflammatory skin diseases)
Scientific Approaches
We will use the All of Us dataset to describe the epidemiology of inflammatory skin conditions across racial/ethnic and age groups. We will use association testing to determine which diseases and conditions are associated with inflammatory skin conditions.
Anticipated Findings
We hope to better describe the burden of inflammatory skin conditions among different racial/ethnic and age groups and we hope to show novel associations between inflammatory skin conditions and other diseases including cardiovascular disease, autoimmune disease, and metabolic disease. These data will help improve the treatment of inflammatory skin diseases.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Registered TierResearch Team
Owner:
- Ryan Fan - Graduate Trainee, Yale University
- Gloria Chen - Graduate Trainee, Yale University
Collaborators:
- Henry Condon - Project Personnel, All of Us Program Operational Use
- Mitchel Wride - Graduate Trainee, Yale University
- Emmanuella Asabor - Graduate Trainee, Yale University
Epidemiology of Inflammatory Skin Conditions v5
Scientific Questions Being Studied
We are interested in studying the epidemiology of inflammatory skin conditions and diseases associated with inflammatory skin conditions.
Project Purpose(s)
- Disease Focused Research (Inflammatory skin diseases)
Scientific Approaches
We will use the All of Us dataset to describe the epidemiology of inflammatory skin conditions across racial/ethnic and age groups. We will use association testing to determine which diseases and conditions are associated with inflammatory skin conditions.
Anticipated Findings
We hope to better describe the burden of inflammatory skin conditions among different racial/ethnic and age groups and we hope to show noel associations between inflammatory skin conditions and other diseases including cardiovascular disease, autoimmune disease, and metabolic disease. These data will help improve the treatment of inflammatory skin diseases.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Registered TierResearch Team
Owner:
- Ryan Fan - Graduate Trainee, Yale University
- Jeffrey Cohen - Other, Yale University
- Audrey Leasure - Graduate Trainee, Yale University
- Annika Belzer - Graduate Trainee, Yale University
Collaborators:
- Michael Murphy - Graduate Trainee, Yale University
- Michael Nock - Graduate Trainee, Yale University
- Jem Atillasoy - Graduate Trainee, Yale University
Epidemiology of Inflammatory Skin Conditions v5 Dataset v6
Scientific Questions Being Studied
We are interested in studying the epidemiology of inflammatory skin conditions and diseases associated with inflammatory skin conditions.
Project Purpose(s)
- Disease Focused Research (Inflammatory skin diseases)
Scientific Approaches
We will use the All of Us dataset to describe the epidemiology of inflammatory skin conditions across racial/ethnic and age groups. We will use association testing to determine which diseases and conditions are associated with inflammatory skin conditions.
Anticipated Findings
We hope to better describe the burden of inflammatory skin conditions among different racial/ethnic and age groups and we hope to show noel associations between inflammatory skin conditions and other diseases including cardiovascular disease, autoimmune disease, and metabolic disease. These data will help improve the treatment of inflammatory skin diseases.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Registered TierResearch Team
Owner:
- Ryan Fan - Graduate Trainee, Yale University
- Jeffrey Cohen - Other, Yale University
- Audrey Leasure - Graduate Trainee, Yale University
- Annika Belzer - Graduate Trainee, Yale University
Collaborators:
- Michael Murphy - Graduate Trainee, Yale University
- Michael Nock - Graduate Trainee, Yale University
- Jem Atillasoy - Graduate Trainee, Yale University
Interstitial lung disease epidemiology
Scientific Questions Being Studied
I intend to explore the data regarding interstitial lung diseases with a goal of distinguishing across different interstitial lung diseases that may present very similarly (e.g. with usual interstitial pattern on high-resolution CT imaging). The goal is to understand the epidemiology of these diseases as well as investigate any lab values that distinguish these diseases.
Project Purpose(s)
- Disease Focused Research (interstitial lung disease)
Scientific Approaches
The dataset would include all patients who are diagnosed with interstitial lung diseases. I will try to describe epidiomelogical findings of these diseases as well as any disease-specific differences among interstitial lung diseases. I will use R to answer these questions.
Anticipated Findings
I anticipate that there are disease-specific differences separating different interstitial lung diseases that may stem from different lab values, such as complete blood count and other blood lab tests.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Registered TierResearch Team
Owner:
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