Isabelle Moseley

Graduate Trainee, Brown University

3 active projects

Duplicate2 of Alopecia Areata and other Immune-Mediated Dermatologic Conditions

We are interested in studying the influence of climate on the clinical course of alopecia areata (AA), atopic diseases, and other immune-mediated dermatologic conditions. We will also explore the association between AA, atopic conditions, and immune-mediated diseases. We hypothesize that…

Scientific Questions Being Studied

We are interested in studying the influence of climate on the clinical course of alopecia areata (AA), atopic diseases, and other immune-mediated dermatologic conditions. We will also explore the association between AA, atopic conditions, and immune-mediated diseases. We hypothesize that people with immune-mediated diseases may be at increased risk of developing AA. Lastly, we plan to explore whether medication utilization for AA, atopic diseases, and immune-mediated dermatologic conditions varies by race, season, geographical location, socioeconomic status, or insurance status.

Project Purpose(s)

  • Disease Focused Research (Immune-mediated dermatologic conditions)

Scientific Approaches

Using the All of Us dataset, we will evaluate the associations between various immune-mediated diseases and risk of alopecia areata. We will also utilize correlation analyses to explore whether various factors influence the pattern of disease flares and health care utilization. Statistical analysis will be conducted using STATA software and R.

Anticipated Findings

Comorbidity studies have the potential to inform screening for associated diseases and may help guide future animal model or genome wide association studies, which may ultimately improve clinical outcomes.

Demographic Categories of Interest

  • Race / Ethnicity
  • Age
  • Sex at Birth
  • Gender Identity
  • Sexual Orientation
  • Geography
  • Disability Status
  • Access to Care
  • Education Level
  • Income Level

Data Set Used

Registered Tier

Research Team

Owner:

Collaborators:

  • Zachary Lin - Undergraduate Student, Brown University
  • Sara Ragi - Graduate Trainee, Brown University
  • Megan Tran - Graduate Trainee, Brown University
  • Joshua Woo - Undergraduate Student, Brown University
  • Jessica Hong - Undergraduate Student, Brown University
  • Mark Hocevar - Graduate Trainee, Brown University

Duplicate of Alopecia Areata and other Immune-Mediated Dermatologic Conditions

We are interested in studying the influence of climate on the clinical course of alopecia areata (AA), atopic diseases, and other immune-mediated dermatologic conditions. We will also explore the association between AA, atopic conditions, and immune-mediated diseases. We hypothesize that…

Scientific Questions Being Studied

We are interested in studying the influence of climate on the clinical course of alopecia areata (AA), atopic diseases, and other immune-mediated dermatologic conditions. We will also explore the association between AA, atopic conditions, and immune-mediated diseases. We hypothesize that people with immune-mediated diseases may be at increased risk of developing AA. Lastly, we plan to explore whether medication utilization for AA, atopic diseases, and immune-mediated dermatologic conditions varies by race, season, geographical location, socioeconomic status, or insurance status.

Project Purpose(s)

  • Disease Focused Research (Immune-mediated dermatologic conditions)

Scientific Approaches

Using the All of Us dataset, we will evaluate the associations between various immune-mediated diseases and risk of alopecia areata. We will also utilize correlation analyses to explore whether various factors influence the pattern of disease flares and health care utilization. Statistical analysis will be conducted using STATA software and R.

Anticipated Findings

Comorbidity studies have the potential to inform screening for associated diseases and may help guide future animal model or genome wide association studies, which may ultimately improve clinical outcomes.

Demographic Categories of Interest

  • Race / Ethnicity
  • Age
  • Sex at Birth
  • Gender Identity
  • Sexual Orientation
  • Geography
  • Disability Status
  • Access to Care
  • Education Level
  • Income Level

Data Set Used

Registered Tier

Research Team

Owner:

Collaborators:

  • Zachary Lin - Undergraduate Student, Brown University
  • Samavia Khan - Research Fellow, Rutgers, The State University of New Jersey
  • Megan Tran - Graduate Trainee, Brown University
  • Mark Hocevar - Graduate Trainee, Brown University
  • Joshua Woo - Undergraduate Student, Brown University
  • Jessica Hong - Undergraduate Student, Brown University
  • Fadwa Ahmed - Graduate Trainee, Brown University
  • Erica Lin - Graduate Trainee, Brown University

V6 Alopecia Areata and other Immune-Mediated Dermatologic Conditions

We are interested in studying the influence of climate on the clinical course of alopecia areata (AA), atopic diseases, and other immune-mediated dermatologic conditions. We will also explore the association between AA, atopic conditions, and immune-mediated diseases. We hypothesize that…

Scientific Questions Being Studied

We are interested in studying the influence of climate on the clinical course of alopecia areata (AA), atopic diseases, and other immune-mediated dermatologic conditions. We will also explore the association between AA, atopic conditions, and immune-mediated diseases. We hypothesize that people with immune-mediated diseases may be at increased risk of developing AA. Lastly, we plan to explore whether medication utilization for AA, atopic diseases, and immune-mediated dermatologic conditions varies by race, season, geographical location, socioeconomic status, or insurance status.

Project Purpose(s)

  • Disease Focused Research (Immune-mediated dermatologic conditions)

Scientific Approaches

Using the All of Us dataset, we will evaluate the associations between various immune-mediated diseases and risk of alopecia areata. We will also utilize correlation analyses to explore whether various factors influence the pattern of disease flares and health care utilization. Statistical analysis will be conducted using STATA software and R.

Anticipated Findings

Comorbidity studies have the potential to inform screening for associated diseases and may help guide future animal model or genome wide association studies, which may ultimately improve clinical outcomes.

Demographic Categories of Interest

  • Race / Ethnicity
  • Age
  • Sex at Birth
  • Gender Identity
  • Sexual Orientation
  • Geography
  • Disability Status
  • Access to Care
  • Education Level
  • Income Level

Data Set Used

Registered Tier

Research Team

Owner:

Collaborators:

  • Zachary Lin - Undergraduate Student, Brown University
  • Megan Tran - Graduate Trainee, Brown University
  • Jessica Hong - Undergraduate Student, Brown University
  • Hailey Tomashek - Undergraduate Student, Brown University
  • Dorra Guermazi - Undergraduate Student, Brown University
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