Research Projects Directory

Research Projects Directory

At this time, all listed projects are using data in the registered tier. The registered tier contains individual-level data from electronic health records, survey answers, and physical measurements. These data have been altered to protect participant privacy.

Note: Researcher Workbench users provide information about their research projects independently. Any views expressed in the Research Projects Directory belong to the relevant users and do not necessarily represent those of the All of Us Research Program.

Information in the Research Projects Directory is also cross-posted on AllofUs.nih.gov in compliance with the 21st Century Cures Act.

There are currently 73 active workspaces. This information was updated on 7/2/2020.

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Sepsis

Project Purpose(s)

  • Disease Focused Research (Sepsis)
  • Drug Development ...
  • Ancestry

Scientific Questions Being Studied

I wish to look at specific genes of lipid metabolism and how they influence development of sepsis

Scientific Approaches

Initially we will investigate the data using univariate statistics and evaluate associations between genes of lipid metabolism and incidence of sepsis. We will then perform Lasso regression to determine which covariates are predictors of sepsis development.

Anticipated Findings

We will determine whether certain lipid-related genes when present increase or decrease risk of sepsis development.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

  • Faheem Guirgis - Early Career Tenure-track Researcher, University of Florida

SGM Demo Project

Project Purpose(s)

  • Population Health ...

Scientific Questions Being Studied

SGM demonstration project

Scientific Approaches

Not available.

Anticipated Findings

SGM demonstration project

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

  • Mitchell Lunn - Early Career Tenure-track Researcher, Stanford University

SmokingHX_wo_LC

Project Purpose(s)

  • Population Health ...

Scientific Questions Being Studied

we want to get ourselves familiarized with the standardized data format and see if we could extract information easily with the data.

Scientific Approaches

May subset to cohort without lung cancer but with smoking history. Use R to interact with the data set.

Anticipated Findings

May use the findings to learn about the cohort characteristics in terms of smoking history.

Demographic Categories of Interest

  • Age

Research Team

Owner:

  • jie na - Project Personnel, Mayo Clinic

SmokingHX_wo_LC

Project Purpose(s)

  • Population Health ...

Scientific Questions Being Studied

we want to get ourselves familiarized with the standardized data format and see if we could extract information easily with the data.

Scientific Approaches

May subset to cohort without lung cancer but with smoking history. Use R to interact with the data set.

Anticipated Findings

May use the findings to learn about the cohort characteristics in terms of smoking history.

Demographic Categories of Interest

  • Age

Research Team

Owner:

  • jie na - Project Personnel, Mayo Clinic

Collaborators:

  • Guoqian Jiang - Mid-career Tenured Researcher, Mayo Clinic

Sociodemographics and Health Status of Sexual and Gender Minorities in the AoURP

Project Purpose(s)

  • Population Health
  • Other Purpose (This work is the result of an All of Us Research Program Demonstration Project. Demonstration Projects are efforts by the All of Us Research Program designed to meet the goal of ensuring the quality and utility of the Research Hub as a resource for accelerating precision medicine. This work has been approved, reviewed, and overseen by the All of Us Research Program Science Committee and Data and Research Center to ensure compliance with program policy.) ...

Scientific Questions Being Studied

The All of Us Research Program is poised to be an important resource for studying questions related to the health and well-being of sexual and gender minority (SGM) people. Our primary goal is to investigate the sociodemographic characteristics and health conditions/behaviors of SGM participants compared with non-SGM participants and determine whether previously-reported health disparities are replicated in the AoURP data repository.

In addition, while SGM people are typically studied as a single group (i.e. "lumped together") in population-level health research studies due to their relatively smaller proportion and statistical sample size, we aim to leverage the large sample of SGM participants included in the AoURP to investigate the health disparities that may be unique to sexual minority (SM) and gender minority (GM) subgroups.

Scientific Approaches

We will characterize SGM participants on the following sociodemographic variables – age, sexual orientation, sex assigned at birth, gender identity, race, ethnicity, geography, educational attainment, employment status, annual household income, and insurance coverage – using participant-provided information (PPI). We will report the standardized mean difference in each demographic variable between SGM and non-SGM participants. We will characterize the prevalence of the following health conditions among SM and GM participants – anxiety, asthma, cancer, cardiovascular disease, chronic kidney disease, depression, diabetes mellitus, HIV infection, hypertension, tobacco use, substance use disorder, and elevated body weight – using EHR data from in conjunction with associated PPI and physical measurement data (PMI). Logistic regression models will be used to generate an odds ratio for each health condition/behavior in each SM and GM subgroup using an appropriate non-SGM reference group.

Anticipated Findings

Sexual and gender minority (SGM) people face numerous health and health care disparities compared to their heterosexual and cisgender peers including greater rates of depression, human immunodeficiency virus (HIV) infection, certain cancers, and tobacco use. AoURP collects sexual orientation, gender identity, and sex assigned at birth from all participants, and the comprehensiveness of this data collection is unique among federal research efforts. As the field of SGM health research grows, the AoURP data resource will undoubtedly serve as a highly valuable resource for studying SGM health as well as SGM health care disparities. This project will represent an important description of the sociodemographic and health condition/behavior differences between SGM and non-SGM people using a large, national research dataset containing participant-reported, EHR, and physical measurement data, and demonstrate the diversity and utility of AoURP data for SGM-related health research.

Demographic Categories of Interest

  • Gender Identity
  • Sexual Orientation
  • Geography
  • Access to Care
  • Education Level
  • Income Level

Research Team

Owner:

  • Kate Vitale - Project Personnel, Stanford University

Collaborators:

  • David Schlueter - Other, All of Us Program Operational Use
  • Roxana Loperena Cortes - Other, All of Us Program Operational Use
  • Francis Ratsimbazafy - Other, All of Us Program Operational Use
  • Mitchell Lunn - Early Career Tenure-track Researcher, Stanford University
  • Haley Hedlin - Project Personnel, Stanford University
  • Andrea Ramirez - Other, All of Us Program Operational Use
  • Annesa Flentje - Early Career Tenure-track Researcher, University of California, San Francisco

Statin-Myopathy

Project Purpose(s)

  • Educational ...

Scientific Questions Being Studied

Statins are widely prescribed for lowering cholesterol levels to help reduce the risk of strokes and heart attacks. One severe side effect of statins is myopathy that results in muscle pain. This study will characterize the incidence of myopathy in users of statins in the AoU cohort.

Scientific Approaches

We will define the study cohort to include any participant who was prescribed a statin. For this cohort we will create a data set that includes demographics, medications and diagnoses. In this data set we will estimate the incidence of myopathy.

Anticipated Findings

The incidence of statin myopathy is reported to be between 1.5–5.0%. We will compare the incidence of statin myopathy in the AoU cohort to the incidence that is reported in the literature.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

  • Shyam Visweswaran - Mid-career Tenured Researcher, University of Pittsburgh

Systemic Disease and Glaucoma

Project Purpose(s)

  • Disease Focused Research (primary open angle glaucoma)
  • Other Purpose (This work is the result of an All of Us Research Program Demonstration Project. Demonstration Projects are efforts by the All of Us Research Program designed to meet the goal of ensuring the quality and utility of the Research Hub as a resource for accelerating precision medicine. This work has been approved, reviewed, and overseen by the All of Us Research Program Science Committee and Data and Research Center to ensure compliance with program policy. ) ...

Scientific Questions Being Studied

We have previously published a predictive model of glaucoma progression using electronic health record (EHR) data pertaining to systemic attributes from a single institution. We aim to use the All of Us dataset to 1) serve as external validation for this single-center model and 2) to train new models focused on predicting glaucoma progression using systemic predictors. This is important to understand whether the original findings are generalizable and provide additional knowledge about the utility of systemic predictors on a national-level dataset.

Scientific Approaches

We will develop predictive models using the All of Us dataset using multivariable logistic regression, random forests, and artificial neural networks.

Anticipated Findings

We anticipate that the All of Us data will validate the findings from the model, which demonstrated that blood pressure-related metrics and certain medication classes had predictive value for glaucoma progression. In addition, we anticipate that the models trained with All of Us data will outperform the model trained with single institution data due to larger sample size and greater diversity.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

  • Jihoon Kim - Other, UCSD

Collaborators:

  • Tsung-Ting Kuo - Early Career Tenure-track Researcher, University of California, San Diego
  • Sally Baxter - Research Fellow, University of California, San Diego
  • Paulina Paul
  • Lucila Ohno-Machado
  • Luca Bonomi
  • Katherine Kim - Early Career Tenure-track Researcher, University of California, Davis

TBI Project

Project Purpose(s)

  • Disease Focused Research (Traumatic Brain Injuries)
  • Educational ...
  • Methods Development
  • Control Set

Scientific Questions Being Studied

In this workbench, I am trying to develop computational models to better predict the short-term and long-term outcome of the TBI patients. A huge number of people are diagnosed with this injury every year in the USA. The results of this research can significantly help physicians to better understand, predict, and control this injury.

Scientific Approaches

I am planning to use Machine Learning and Deep Learning tools to do the analysis. I am also focusing on using time series data.

Anticipated Findings

My research would probably lead to the better and new computational tools for the TBI outcome prediction.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

  • Amin Nayebi - Graduate Trainee, University of Arizona

Collaborators:

  • Vignesh Subbian - Early Career Tenure-track Researcher, University of Arizona

test

Project Purpose(s)

  • Disease Focused Research (asdfasdf) ...

Scientific Questions Being Studied

test test test testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest test test testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest test test testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest test test testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest test test testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest t

Scientific Approaches

test test test testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest test test testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest test test testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest test test testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest te

Anticipated Findings

test test test testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest test test testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest test test testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest test test testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest test test testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest te

Demographic Categories of Interest

  • Others

Research Team

Owner:

  • Aaron Abend - Senior Researcher, Autoimmune Registry, Inc.

test

Project Purpose(s)

  • Disease Focused Research (asdfasdf) ...

Scientific Questions Being Studied

test test test testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest test test testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest test test testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest test test testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest test test testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest t

Scientific Approaches

test test test testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest test test testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest test test testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest test test testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest te

Anticipated Findings

test test test testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest test test testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest test test testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest test test testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest test test testtest testtest testtest testtest testtest testtest testtest testtest testtest testtest te

Demographic Categories of Interest

  • Others

Research Team

Owner:

  • Aaron Abend - Senior Researcher, Autoimmune Registry, Inc.

Test - concomitant colchicine-CYP3A4 inhibitor exposure

Project Purpose(s)

  • Population Health ...

Scientific Questions Being Studied

We will be exploring the data at this stage to study interactions between colchicine and drugs that inhibit cytochrome P450 3A4 . Clarithromycin is one drug but there are several others. The outcome of interest will be evidence of toxicity which will include lab measures and other indicators

Scientific Approaches

We plan to use a self-controlled pharmacoepidemiologic design comparing outcomes before and after exposure within patients. We might find this infeasible as we try to make progress. We will revise the approach if needed. We will compare outcomes to exposure to drugs that we expect will not have the outcome (negative controls).

Anticipated Findings

Colchicine toxicity is highly fatal and it is critical for researchers to identify which drug combinations place the patients at greatest risk. With only case evidence present in the scientific literature, and clinical trials unable to answer the question, researchers need to rapidly generate evidence to inform drug interaction decision support. This study will determine if it is feasible to use data from the All of Us Cohort to generate evidence for the research question.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

  • Richard Boyce - Mid-career Tenured Researcher, University of Pittsburgh

Training

Project Purpose(s)

  • Educational ...

Scientific Questions Being Studied

I would like to use this workspace purely for educational purposes only. It will be used to demonstrate to students various data analysis approaches using large datasets and to familiarize them with All of Us cloud storage workflow.

Scientific Approaches

To produce aggregate summary statistics and regression models for various measurement variables available in All of Us data.

Anticipated Findings

This exploratory analysis will enable us to explore heterogeneity in anthropometric measures among various racial-ethnic groups

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

  • Amit Arora - Graduate Trainee, University of Arizona

Collaborators:

  • Yann Klimentidis - Mid-career Tenured Researcher, University of Arizona
  • Jo-el Banini - Undergraduate Student, University of Arizona
  • Heidi Steiner - Graduate Trainee, University of Arizona
  • Claire Jurecky - Undergraduate Student, University of Arizona

Trends in the Use of Cancer Screening Tests

Project Purpose(s)

  • Population Health
  • Other Purpose (This work is a result of an All of Us Research Program Demonstration Project. The projects are efforts by the Program designed to meet the program's goal of ensuring the quality and utility of the Research Hub as a resource for accelerating discovery in science and medicine. This work was reviewed and overseen by the All of Us Research Program Science Committee and the Data and Research Center to ensure compliance with program policy, including policies for acceptable data access and use. ) ...

Scientific Questions Being Studied

This Demonstration Project assessed the availability of data needed to describe trends in the use of Prostate Specific Antigen (PSA) testing and mammography by age, race/ethnicity, and other demographic factors among US adults aged 40-89. We calculated the percentage of men receiving PSA tests and women undergoing mammography by year among All of Us participants. We then compared our findings with previously published estimates in order to demonstrate that data from the All of Us Research Program may be useful for analyses of these important cancer screening tests.

Scientific Approaches

For analyses of PSA testing, we included males aged 40-89, and searched for relevant codes for PSA in measurement and procedure datasets, including LOINC and CPT4 codes. For analyses of mammography, we included females aged 40-89, and searched for relevant CPT4 procedure codes. We then calculated the percentage of eligible participants who underwent each test by year, and examined trends by age group and race/ethnicity.

We collected demographic data on All of Us participants who had at least one PSA or mammography code in their electronic data, and compared the distrbution of sex, race, ethnicity, insurance status, education level, marital status, and geographic region to participants without any PSA or mammography codes in their record.

Anticipated Findings

For this study, we seek to leverage the electronic health record (EHR) and participant provided information to examine trends in the use of cancer screening tests by age, geography and race/ethnicity. We anticipate observing a decline in PSA testing in recent years, and a fairly consistent high use of mammography over time, with variation by age group and race/ethnicity.

Demographic Categories of Interest

  • Age
  • Geography

Research Team

Owner:

  • Mara Epstein - Early Career Tenure-track Researcher, University of Massachusetts

Collaborators:

  • Yanhua Zhou - Project Personnel, University of Massachusetts
  • Larry Garber - Other, Reliant Medical Group

Tutorial - Cancer

Project Purpose(s)

  • Disease Focused Research (cancer) ...

Scientific Questions Being Studied

Are there differences in cancer incidence and prevalence between SEER and AoU?

Scientific Approaches

Not available.

Anticipated Findings

No significant difference

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

  • Jihoon Kim - Other, UCSD

Uncovering disease factors related to NF1, NF2 and Schwannomatosis

Project Purpose(s)

  • Disease Focused Research (neurofibromatosis type 1, neurofibromatosis type 2, schwannomatosis)
  • Drug Development ...
  • Methods Development
  • Ancestry

Scientific Questions Being Studied

We intend to study the relationship between genetic factors, health records, and the symptoms of neurofibromatosis type 1, type 2, and schwannomatosis (NF),. At the present, we are exploring the data to formalize a specific research question. We hope to identify specific predictive biomarkers or therapies for NF.

Scientific Approaches

We intend to use health record, survey, and (when available) genomic data from participants with NF and to analyze these datasets using statistical modeling and machine learning approaches for categorical and continuous data.

Anticipated Findings

We hope to and anticipate this study will increase our understanding of neurofibromatosis type 1, type 2, and schwannomatosis. Our findings would contribute to the body of scientific knowledge by revealing new biological causes for the symptoms associated with these disease, which may lead to new ways to treat these symptoms.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

  • Robert Allaway - Senior Researcher, Sage Bionetworks