Elizabeth Yanik
Early Career Tenure-track Researcher, Washington University in St. Louis
2 active projects
4-20-23 Duplicate of Gene-environment interactions in osteoarthritis
Scientific Questions Being Studied
Effective osteoarthritis prevention and treatment is complicated because the disease can be caused by many factors. Genetics, occupation, diet, and physical activity may all contribute to osteoarthritis development and progression, but little is known about how these factors interact with each other. Our objective is to determine how interactions between genetic and non-genetic factors influence risk of osteoarthritis and joint replacement. Specifically, we would like to know if genetics influences how impactful modifiable risk factors are on osteoarthritis and determine if we can better predict osteoarthritis risk by incorporating information on interactions between different risk factors.
Project Purpose(s)
- Disease Focused Research (Osteoarthritis)
- Population Health
- Social / Behavioral
- Ancestry
Scientific Approaches
We plan to use the All of Us study to extend and expand on findings from a study we are planning in the UK Biobank. Our analyses will include the use of genome-wide association study (GWAS) methods to identify new potential genetic factors of interest, evaluation of additive interactions between genetic and non-genetic factors, and the development of osteoarthritis prediction models that include both genetic and non-genetic information.
Anticipated Findings
This study could provide important information on how an individual’s genetics can be used to personalize communication about osteoarthritis risk and the benefits of lifestyle changes.
Demographic Categories of Interest
- Race / Ethnicity
Data Set Used
Controlled TierResearch Team
Owner:
- Elizabeth Yanik - Early Career Tenure-track Researcher, Washington University in St. Louis
Rotator cuff genetics
Scientific Questions Being Studied
This workspace is intended to identify the genetic risk factors for rotator cuff disease, specifically degenerative rotator cuff disease, and understand how these genetic factors correspond to patient characteristics, such as age at rotator cuff tear diagnosis.
This information can inform calculations of an individual's risk for developing a rotator cuff tear based on genetic information. Genetic predisposition to degenerative rotator cuff disease may also influence tear healing after surgical rotator cuff repair, and so better understanding of key genetic markers may help predict treatment outcomes in the future.
Project Purpose(s)
- Disease Focused Research (Rotator cuff disease)
- Control Set
- Ancestry
Scientific Approaches
We will conduct analyses in the participants that have been genotyped. Information from electronic medical records will be used to identify rotator cuff disease diagnoses. We plan to both make comparisons between people with and without rotator cuff disease diagnoses within the All of Us cohort, and also to use the All of Us cohort as a control population to compare to patients with confirmed rotator cuff disease diagnoses in an external study population.
Anticipated Findings
We anticipate confirming findings from prior rotator cuff genetic studies, by replicating associations with genetic markers that have been identified in the literature. In addition, we hope to identify novel genetic markers associated with rotator cuff disease as we anticipate that the All of Us population will ultimately be larger than any prior genetic study of rotator cuff disease. These results will help improve the understanding of rotator cuff genetics. Identifying individual genetic markers of importance will allow more detailed study of those markers to identify the mechanisms through which genes influence the development and progression of rotator cuff tears.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Controlled TierResearch Team
Owner:
- Elizabeth Yanik - Early Career Tenure-track Researcher, Washington University in St. Louis
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