Puran Nepal
Project Personnel, University of Miami
6 active projects
Azathioprine Replication (Mercaptopurine not removed)
Scientific Questions Being Studied
We are trying study risk of Leukopenia or Pancreatitis in Azathioprine patients. We would like to make prediction models based of this disease. This is important question to answer because it helps clinicians to detect which patients are in risk of these side effects while prescribing Azathioprine.
Project Purpose(s)
- Disease Focused Research (leukopenia)
- Methods Development
- Control Set
- Ancestry
Scientific Approaches
We plan to collect data on patients who are new users of azathioprine. We want to select various demographic characteristics like sex, age, indication of azathioprine and genetic makeup. Then we would like to use this dataset to create prediction models.
Anticipated Findings
What we anticipated from this study is that we build accurate models which would create a risk score that would detect risk of Leukopenia or Pancreatitis on Azathioprine.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Controlled TierResearch Team
Owner:
- Puran Nepal - Project Personnel, University of Miami
Collaborators:
- Laura Daniel - Project Personnel, University of Miami
Azathioprine Replication Leukopenia
Scientific Questions Being Studied
We are trying study risk of Leukopenia or Pancreatitis in Azathioprine patients. We would like to make prediction models based of this disease. This is important question to answer because it helps clinicians to detect which patients are in risk of these side effects while prescribing Azathioprine.
Project Purpose(s)
- Disease Focused Research (leukopenia)
- Methods Development
- Control Set
- Ancestry
Scientific Approaches
We plan to collect data on patients who are new users of azathioprine. We want to select various demographic characteristics like sex, age, indication of azathioprine and genetic makeup. Then we would like to use this dataset to create prediction models.
Anticipated Findings
What we anticipated from this study is that we build accurate models which would create a risk score that would detect risk of Leukopenia or Pancreatitis on Azathioprine.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Controlled TierDuplicate of Azathioprine Genetics
Scientific Questions Being Studied
We seek to determine the genetic causes of the adverse side effects of azathioprine, a powerful immunosuppressant.
Project Purpose(s)
- Ancestry
Scientific Approaches
We have conducted a genome-wide association analysis (GWAS) in Vanderbilt's BioVU biobank. We are seeking to replicate the analysis using All of Us.
Anticipated Findings
Ideally, we hope to replicate significant associations found in previous studies. The significant genetic variants might then lead to better predictions for the adverse events of azathioprine. These predictions might help physicians make better prescriptions.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Controlled TierAzathioprine Replication
Scientific Questions Being Studied
We are trying study risk of Leukopenia or Pancreatitis in Azathioprine patients. We would like to make prediction models based of this disease. This is important question to answer because it helps clinicians to detect which patients are in risk of these side effects while prescribing Azathioprine.
Project Purpose(s)
- Disease Focused Research (leukopenia)
- Methods Development
- Control Set
- Ancestry
Scientific Approaches
We plan to collect data on patients who are new users of azathioprine. We want to select various demographic characteristics like sex, age, indication of azathioprine and genetic makeup. Then we would like to use this dataset to create prediction models.
Anticipated Findings
What we anticipated from this study is that we build accurate models which would create a risk score that would detect risk of Leukopenia or Pancreatitis on Azathioprine.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Controlled TierResearch Team
Owner:
- Puran Nepal - Project Personnel, University of Miami
Collaborators:
- Hui YU - Project Personnel, University of Miami
Duplicate of STING PheWAS
Scientific Questions Being Studied
We are interested in association between genes associated with STING and various diseases. We are particularly interested in rheumatological diseases.
Project Purpose(s)
- Ancestry
Scientific Approaches
First approach, we will use individual SNPs as predictor for diseases find which diseases have strong association with the SNP. Second approach would be to run a prediXcan to generate score for each Gene and then run phewas against the score.
Anticipated Findings
We want to find the diseases that are associated with the genes that are associated with STING. It would be important to understand the consequences of STING.
Demographic Categories of Interest
- Race / Ethnicity
- Age
- Sex at Birth
- Gender Identity
- Sexual Orientation
- Geography
- Disability Status
- Access to Care
- Education Level
Data Set Used
Controlled TierResearch Team
Owner:
- Puran Nepal - Project Personnel, University of Miami
Collaborators:
- QiPing Feng - Early Career Tenure-track Researcher, Vanderbilt University Medical Center
- Jacy Zanussi - Project Personnel, University of Miami
- Elliot Outland - Project Personnel, Vanderbilt University Medical Center
Azathioprine Project V7
Scientific Questions Being Studied
We are trying study risk of Leukopenia or Pancreatitis in Azathioprine patients. We would like to make prediction models based of this disease. This is important question to answer because it helps clinicians to detect which patients are in risk of these side effects while prescribing Azathioprine.
Project Purpose(s)
- Disease Focused Research (leukopenia)
- Methods Development
- Control Set
- Ancestry
Scientific Approaches
We plan to collect data on patients who are new users of azathioprine. We want to select various demographic characteristics like sex, age, indication of azathioprine and genetic makeup. Then we would like to use this dataset to create prediction models.
Anticipated Findings
What we anticipated from this study is that we build accurate models which would create a risk score that would detect risk of Leukopenia or Pancreatitis on Azathioprine.
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
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