Mihir Patil
Graduate Trainee, University of Illinois at Urbana Champaign
11 active projects
Hereditary hemochromatosis and skin cancers
Scientific Questions Being Studied
What is the association between hereditary hemochromatosis and keratinocyte carcinoma? Some prior studies have seen increased BCC prevalence, though others have found no association.
Project Purpose(s)
- Disease Focused Research (hereditary hemochromatosis)
Scientific Approaches
We plan
We plan to use the All of Us Database to perform a nested case-control study for patients of HH and explore any associated increased in skin disease prevalence, namely BCC and SCC prevalence.
Anticipated Findings
With limited research on this topic, we are unsure what to anticipate. We anticipate that any associations found from this study can guide the exact answer.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Registered Tier
Duplicate of Vaping and Contact Dermatitis
Scientific Questions Being Studied
Prior research has demonstrated a possible link between vaping and contact dermatitis, however a population-based study has not been conducted. Our research question aims to explore this potential relationship, and quantify the extent of it. We intend to study, what is the relationship between vaping and contact dermatitis? And what about other skin diseases?
Project Purpose(s)
- Disease Focused Research (urticaria)
Scientific Approaches
We plan to use the All of Us Database to identify patients who vape and explore any associated increased in skin disease prevalence. We will begin by using survey data to determine patients who vape, and the frequency at which they vape.
Anticipated Findings
With limited research on this topic, we are unsure what to anticipate. We anticipate that any associations found from this study can guide preventative strategies for vape use.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Registered TierDuplicate of DLE Comorbidities
Scientific Questions Being Studied
We aim to better understand what comorbidities exist with discoid lupus erythematosus in underrepresented populations.
Project Purpose(s)
- Disease Focused Research (Discoid Lupus Erythematosus)
Scientific Approaches
The objective is to gather information on individuals with discoid lupus erythematosus, along with their associated comorbidities. Subsequently, we will conduct an analysis to determine whether any noteworthy correlations exist among these conditions.
Anticipated Findings
The anticipated findings from this study could reveal potential correlations between discoid lupus erythematosus and other comorbidities. These findings would contribute to the body of scientific knowledge in the field by providing insights into thes relationships between discoid lupus erythematosus and other medical conditions. By identifying significant correlations, the study could aid in better understanding the underlying mechanisms and potential shared risk factors among these conditions. Additionally, the findings may have implications for improving diagnostic and treatment strategies for individuals with discoid lupus erythematosus, potentially leading to enhanced patient care and management. Overall, the study's findings would add valuable information to the existing scientific literature, advancing our knowledge and potentially guiding future research efforts in this area.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Registered TierDuplicate of Vaping and Contact Dermatitis
Scientific Questions Being Studied
Prior research has demonstrated a possible link between vaping and contact dermatitis, however a population-based study has not been conducted. Our research question aims to explore this potential relationship, and quantify the extent of it. We intend to study, what is the relationship between vaping and contact dermatitis? And what about other skin diseases?
Project Purpose(s)
- Disease Focused Research (autoimmune diseases)
Scientific Approaches
We plan to use the All of Us Database to identify patients who vape and explore any associated increased in skin disease prevalence. We will begin by using survey data to determine patients who vape, and the frequency at which they vape.
Anticipated Findings
With limited research on this topic, we are unsure what to anticipate. We anticipate that any associations found from this study can guide preventative strategies for vape use.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Registered TierResearch Team
Owner:
- Mihir Patil - Graduate Trainee, University of Illinois at Urbana Champaign
Collaborators:
- Thomas Rohan - Graduate Trainee, Thomas Jefferson University
- Carlos Salazar - Graduate Trainee, Harvard Medical School
DLE Comorbidities
Scientific Questions Being Studied
We aim to better understand what comorbidities exist with discoid lupus erythematosus in underrepresented populations.
Project Purpose(s)
- Disease Focused Research (Discoid Lupus Erythematosus)
Scientific Approaches
The objective is to gather information on individuals with discoid lupus erythematosus, along with their associated comorbidities. Subsequently, we will conduct an analysis to determine whether any noteworthy correlations exist among these conditions.
Anticipated Findings
The anticipated findings from this study could reveal potential correlations between discoid lupus erythematosus and other comorbidities. These findings would contribute to the body of scientific knowledge in the field by providing insights into thes relationships between discoid lupus erythematosus and other medical conditions. By identifying significant correlations, the study could aid in better understanding the underlying mechanisms and potential shared risk factors among these conditions. Additionally, the findings may have implications for improving diagnostic and treatment strategies for individuals with discoid lupus erythematosus, potentially leading to enhanced patient care and management. Overall, the study's findings would add valuable information to the existing scientific literature, advancing our knowledge and potentially guiding future research efforts in this area.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Registered TierVaping and Contact Dermatitis
Scientific Questions Being Studied
Prior research has demonstrated a possible link between vaping and contact dermatitis, however a population-based study has not been conducted. Our research question aims to explore this potential relationship, and quantify the extent of it. We intend to study, what is the relationship between vaping and contact dermatitis? And what about other skin diseases?
Project Purpose(s)
- Disease Focused Research (urticaria)
Scientific Approaches
We plan to use the All of Us Database to identify patients who vape and explore any associated increased in skin disease prevalence. We will begin by using survey data to determine patients who vape, and the frequency at which they vape.
Anticipated Findings
With limited research on this topic, we are unsure what to anticipate. We anticipate that any associations found from this study can guide preventative strategies for vape use.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Registered TierResearch Team
Owner:
- Mihir Patil - Graduate Trainee, University of Illinois at Urbana Champaign
Collaborators:
- Carlos Salazar - Graduate Trainee, Harvard Medical School
Duplicate of Skills Assessment Training Notebooks For Users (v7)
Scientific Questions Being Studied
This workspace contains multiple notebooks that assess users' understanding of the workbench and OMOP. These notebooks are meant to help users check their knowledge not only on Python, R, and SQL, but also on the general data structure and data model used by the All of Us program.
Project Purpose(s)
- Educational
Scientific Approaches
There are no scientific approach used in this workspace because it is meant for educational purposes only. We will cover all aspects of OMOP, and hence will use most datasets available in the workbench.
Anticipated Findings
We do not anticipate to have any findings. Instead, we are educating people on the use of the workbench and the common data model OMOP used by the program.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Registered TierDuplicate of How to Work with All of Us Survey Data (v7)
Scientific Questions Being Studied
We recommend that all researchers explore the notebooks in this workspace to learn the basics of All of Us Program Data.
What should you expect?
By running the notebooks in this workspace, you should get familiar with how to query PPI questions/surveys, what the frequencies of answers for each question in each PPI module are.
Project Purpose(s)
- Educational
- Methods Development
- Other Purpose (This is an All of Us Tutorial Workspace created by the Researcher Workbench Support team. It is meant to provide instruction for key Researcher Workbench components and All of Us data representation.)
Scientific Approaches
By running the notebooks in this workspace, you should get familiar with how to query PPI questions/surveys, what the frequencies of answers for each question in each PPI module are.
Anticipated Findings
By reading and running the notebooks in this Tutorial Workspace, researchers will learn the following:
- how to query the survey data,
- how to summarize PPI modules, and questions.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Registered TierDuplicate of Data Wrangling in All of Us Program (v7)
Scientific Questions Being Studied
For Educational purpose to show best practices when using jupyter notebooks for data access, storage, data manipulations - transformations, conversions, cleaning, optimization and other research support related issues that is useful for multiple AoU researchers.
Project Purpose(s)
- Educational
- Other Purpose (For use with Office hours. notebooks for adding code snippets useful for researchers. This is a placeholder for creating notebooks for best practices among other things)
Scientific Approaches
For Educational purpose to show best practices when using jupyter notebooks for data access, storage, data manipulations - transformations, conversions, cleaning, optimization and other research support related issues that is useful for multiple AoU researchers.
Anticipated Findings
For Educational purpose to show best practices when using jupyter notebooks for data access, storage, data manipulations - transformations, conversions, cleaning, optimization and other research support related issues that is useful for multiple AoU researchers.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Registered TierDuplicate of How to Get Started with Controlled Tier Data (v7)
Scientific Questions Being Studied
1. Socio-Economic Metrics: How to retrieve participants' socio-economic data from the CDR.
2. Observation Date: How to query and plot an observation date using survey completion date as example.
3. Demographics: Examples of how to query and plot participant demographic data.
4. Death Cause: How to retrieve and plot deceased participants' death causes.
Project Purpose(s)
- Educational
- Methods Development
- Other Purpose (This is an All of Us Featured Workspace: - teaches the users how to set up this notebook, install and import software packages, and select the correct version of the CDR. - gives an overview of the data types available in the current Controlled Tier Curated Data Repository (CDR) that are not available in the Registered Tier - shows how to retrieve and summarize this data.)
Scientific Approaches
We recommend that all researchers explore the notebooks in this workspace to learn the basics of All of Us Program Data. The tutorial Workspace contains two Jupyter Notebooks (one written in Python, the other in R). It contains helper functions for repeatedly, code readability and efficiency and repeatedly.
Anticipated Findings
By reading and running the notebooks in this Tutorial Workspace, you will understand the following: All of Us data are made available in two Curated Data Repository: the Registered Tier and Controlled Tier. The latter was subject to more relaxed privacy rules relative to the Registered Tier. As a result, you can expect to find more concept ids in certain data types such as EHR and Survey.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Controlled TierDuplicate of How to Get Started with Registered Tier Data (v7)
Scientific Questions Being Studied
We recommend that all researchers explore the notebooks in this workspace to learn the basics of All of Us Program Data.
What should you expect? This notebook will give you an overview of what data is available in the current Curated Data Repository (CDR). It will also teach you how to retrieve information about Electronic Health Record (EHR), Physical Measurements (PM), and Survey data.
Project Purpose(s)
- Educational
- Methods Development
- Other Purpose (This is an All of Us Tutorial Workspace. It is meant to provide instruction for key Researcher Workbench components and All of Us data representation.)
Scientific Approaches
This Tutorial Workspace contains two Jupyter Notebooks (one written in Python, the other in R). Each notebook is divided into the following sections:
1. Setup: How to set up this notebook, install and import software packages, and select the correct version of the CDR.
2. Data Availability Part 1: How to summarize the number of unique participants with major data types: Physical Measurements, Survey, and EHR;
3. Data Availability Part 2: How to delve a little deeper into data availability within each major data type;
4. Data Organization: An explanation of how data is organized according to our common data model.
5. Example Queries: How to directly query the CDR, using two examples of SQL queries to extract demographic data.
6. Expert Tip: How to access the base version of the CDR, for users that want to do their own cleaning.
Anticipated Findings
By reading and running the notebooks in this Tutorial Workspace, you will understand the following:
All of Us data are made available in a Curated Data Repository. Participants may contribute any combination of survey, physical measurement, and electronic health record data. Not all participants contribute all possible data types. Each unique piece of health information is given a unique identifier called a concept_id and organized into specific tables according to our common data model. You can use these concept_ids to query the CDR and pull data on specific health information relevant to your analysis. See our support article Learning the Basics of the All of Us Dataset for more info.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Registered TierRequest a Review of this Research Project
You can request that the All of Us Resource Access Board (RAB) review a research purpose description if you have concerns that this research project may stigmatize All of Us participants or violate the Data User Code of Conduct in some other way. To request a review, you must fill in a form, which you can access by selecting ‘request a review’ below.
