Karen Costenbader
Mid-career Tenured Researcher, Mass General Brigham
3 active projects
Duplicate of Autoimmune inflammatory and other rheumatic diseases queries
Scientific Questions Being Studied
Hoping to understand what data the All of Us contains on autoimmune inflammatory and other rheumatic diseases, with a specific focus on systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), and osteoarthritis (OA). We are interested in demographics (sex, race/ethnicity, etc.), socioeconomic factors, environmental factors, psychosocial factors (stress, PTSD, depression, etc.), social determinants of health (access to food, housing, everyday discrimination scale, etc.), behavioral lifestyle (smoking, alcohol, exercise, obesity, etc.), overall health status (PROMIS Global Health, etc.), health care access, personal/family medical history, clinical factors (comorbidities, comedications, labs, etc.), genomic data (WGS/array), and Fitbit data. We are interested in therapeutic outcomes, complications, comorbid outcomes, healthcare visits, and quality of care of patients. This will give us better sense of how to work with the All of Us and generate future specific research questions.
Project Purpose(s)
- Disease Focused Research (autoimmune and other rheumatic diseases )
- Population Health
- Social / Behavioral
- Ancestry
Scientific Approaches
We plan to assemble cohorts of individuals with incident and prevalent autoimmune inflammatory and other rheumatic diseases (concentrating on SLE, RA, and OA, but also investigating other related diseases) and matched controls to investigate the prevalence of these risk factors, populations most affected, magnitude of the risk estimates and their interaction, population attributable risks, and outcomes. Eventually we would love to analyze risk factors, outcomes, and quality of cares of autoimmune inflammatory and other rheumatic disease patients in the context of health survey data, social determinants of health, electronic health records, and genomic and Fitbit data. This will hopefully be a stepping stone in improving risk assessment, early diagnosis strategy, disease activity management strategies and an overall improved general understanding of disease.
Anticipated Findings
We anticipate that we will be able to understand the "All of Us" dataset more fully and eventually generate new research hypothesis that help contribute to medical research. These studies will contribute greatly to our knowledge of autoimmune inflammatory and other rheumatic disease risk factors, both modifiable and non-modifiable, potential pathogenesis of these complex diseases, and management strategies, in diverse US populations.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Controlled TierResearch Team
Owner:
- Karen Costenbader - Mid-career Tenured Researcher, Mass General Brigham
- Jeong Yee - Research Fellow, Mass General Brigham
- Jack Ellrodt - Project Personnel, Mass General Brigham
- Emily Oakes - Project Personnel, Mass General Brigham
Autoimmune inflammatory and other rheumatic diseases queries
Scientific Questions Being Studied
Hoping to understand what data the All of Us contains on autoimmune inflammatory and other rheumatic diseases, with a specific focus on systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), and osteoarthritis (OA). We are interested in demographics (sex, race/ethnicity, etc.), socioeconomic factors, environmental factors, psychosocial factors (stress, PTSD, depression, etc.), social determinants of health (access to food, housing, everyday discrimination scale, etc.), behavioral lifestyle (smoking, alcohol, exercise, obesity, etc.), overall health status (PROMIS Global Health, etc.), health care access, personal/family medical history, clinical factors (comorbidities, comedications, labs, etc.), genomic data (WGS/array), and Fitbit data. We are interested in therapeutic outcomes, complications, comorbid outcomes, healthcare visits, and quality of care of patients. This will give us better sense of how to work with the All of Us and generate future specific research questions.
Project Purpose(s)
- Disease Focused Research (autoimmune and other rheumatic diseases )
- Population Health
- Social / Behavioral
- Ancestry
Scientific Approaches
We plan to assemble cohorts of individuals with incident and prevalent autoimmune inflammatory and other rheumatic diseases (concentrating on SLE, RA, and OA, but also investigating other related diseases) and matched controls to investigate the prevalence of these risk factors, populations most affected, magnitude of the risk estimates and their interaction, population attributable risks, and outcomes. Eventually we would love to analyze risk factors, outcomes, and quality of cares of autoimmune inflammatory and other rheumatic disease patients in the context of health survey data, social determinants of health, electronic health records, and genomic and Fitbit data. This will hopefully be a stepping stone in improving risk assessment, early diagnosis strategy, disease activity management strategies and an overall improved general understanding of disease.
Anticipated Findings
We anticipate that we will be able to understand the "All of Us" dataset more fully and eventually generate new research hypothesis that help contribute to medical research. These studies will contribute greatly to our knowledge of autoimmune inflammatory and other rheumatic disease risk factors, both modifiable and non-modifiable, potential pathogenesis of these complex diseases, and management strategies, in diverse US populations.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Controlled TierResearch Team
Owner:
- Karen Costenbader - Mid-career Tenured Researcher, Mass General Brigham
- Jeong Yee - Research Fellow, Mass General Brigham
- Jack Ellrodt - Project Personnel, Mass General Brigham
- Emily Oakes - Project Personnel, Mass General Brigham
SLE case-control
Scientific Questions Being Studied
We are interested generally in risk factors for developing autoimmune diseases, in particular but not limited to systemic lupus erythematosus and rheumatoid arthritis, at the population level. We are interested in environmental risk factors (air pollution, heat, pesticides, etc.), psychosocial factors (stress, emotional distress, trauma, PTSD, depression, resilience), social determinants of health (access to food, work, housing, neighborhood factors) , and behavioral lifestyle factors (smoking, alcohol, exercise, obesity, diet, work hours, etc.). We are interested in characterizing the sociodemographics of the populations affected and estimating the population attributable risk for each of these factors and in combinations. When genome-wide data are available, we will be interested in genetic risk factors for autoimmune diseases, and how they may interact with environmental risk factors to produce immune dysregulation and then disease.
Project Purpose(s)
- Disease Focused Research (Autoimmune diseases)
- Population Health
- Social / Behavioral
- Methods Development
- Control Set
- Ancestry
Scientific Approaches
We plan to assemble cohorts of individuals with incident and prevalent autoimmune diseases (concentrating on SLE and RA, but also investigating other related autoimmune diseases) and matched controls to investigate the prevalence of these risk factors, populations most affected, magnitude of the risk estimates and population attributable risks. In cross-sectional analyses, we will use logistic regression models.
Anticipated Findings
We have previously studied many of these risk factors, and their interactions with genetic factors, among women in the prospective Nurses' Health Study and to an extent in the Black Women's Health Study, the Women's Health Study, and Roxbury Lupus Study. These studies have all been limited to females, had mainly older adult participants, and have had limited racial and ethnic diversity. For these reasons, we aim to confirm and extend our research into more diverse population-based cohorts and expect that all of these factors will be associated with risk of these autoimmune diseases. We intend to examine the magnitudes of effects observed and the population attributable risks. These studies will contribute greatly to our knowledge of autoimmune disease risk factors, both modifiable and non-modifiable, and potential pathogenesis of these complex diseases, in diverse US populations.
Demographic Categories of Interest
- Race / Ethnicity
- Age
- Geography
- Access to Care
- Education Level
- Income Level
Data Set Used
Registered TierResearch Team
Owner:
- Karen Costenbader - Mid-career Tenured Researcher, Mass General Brigham
- Jeong Yee - Research Fellow, Mass General Brigham
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