Research Fellow, National Institutes of Health (NIH)
1 active project
Reproducing the results of a UK Biobank study on Type 2 Diabetes
Scientific Questions Being Studied
The study I am trying to replicate attempted to determine whether genetic ancestry and socioeconomic deprivation (SED) interact to affect one's risk of developing type 2 diabetes and whether this interaction varies depending on genetic ancestry type. Such insight may help inform future health interventions.
- Other Purpose (I am a research trainee trying to familiarize myself with both the All of Us workspace and working with All of Us data. To accomplish this, I will be attempting to replicate the results of a study conducted by my lab, which was published as an article titled "Socioeconomic deprivation and genetic ancestry interact to modify type 2 diabetes ethnic disparities in the United Kingdom". )
Case / control cohorts will be made with individuals with type 2 diabetes and those without the disease, respectively. Analyses with be done in Python and R.
The results are expected to those of the study I am attempting to replicate - socioeconomic deprivation is expected to increase the likelihood of developing type 2 diabetes among all demographic groups, but this effect is expected to be especially pronounced in individuals of African and Asian ancestry.
Demographic Categories of Interest
- Race / Ethnicity
- Access to Care
- Education Level
- Income Level
Data Set UsedControlled Tier
- Vincent Lam - Research Fellow, National Institutes of Health (NIH)
- Shivam Sharma - Graduate Trainee, Georgia Institute of Technology
- Leonardo Marino-Ramirez - Senior Researcher, National Institutes of Health (NIH)
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