Research Projects Directory

Research Projects Directory

14,856 active projects

This information was updated 12/28/2024

The Research Projects Directory includes information about all projects that currently exist in the Researcher Workbench to help provide transparency about how the Workbench is being used. Each project specifies whether Registered Tier or Controlled Tier data are used.

Note: Researcher Workbench users provide information about their research projects independently. 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.

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13 projects have 'circadian' in the project title
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Omics-Related sleep , circadian rhythm phenotypes and Diabetes Risk

The specific research questions include: 1.Did the sleep and circadian phenotypes of wearable devices affect the omics level? 2.Is the association between sleep and circadian rhythm phenotypes and diabetes (and its complications) mediated by alterations in the omics? 3.Which omics…

Scientific Questions Being Studied

The specific research questions include:
1.Did the sleep and circadian phenotypes of wearable devices affect the omics level?
2.Is the association between sleep and circadian rhythm phenotypes and diabetes (and its complications) mediated by alterations in the omics?
3.Which omics features, when combined with wearable device metrics, are most significant in predicting diabetes risk?
These questions are critical, as sleep and circadian disruptions have been linked to various health conditions, including diabetes. However, the underlying biological pathways remain unclear. By exploring how sleep phenotypes relate to molecular changes, this study aims to shed light on mechanisms that could lead to targeted interventions. Improved understanding of omics-level pathways associated with sleep could support personalized risk assessments and preventive strategies for diabetes.

Project Purpose(s)

  • Disease Focused Research (Diabetes)

Scientific Approaches

To address our research questions, we will use multi-omics data from All of Us in combination with wearable device metrics related to sleep and circadian phenotypes. Machine learning models will be applied to identify critical omics features associated with sleep and circadian characteristics, with these features forming a unique omics-based score for each participant. Next, this omics-derived score will be used to assess associations with the incidence and progression of diabetes and its complications. Analytical tools, such as Python for data handling and BigQuery for large dataset queries, will support our analyses.

Anticipated Findings

We anticipate our study will reveal significant associations between wearable device-derived sleep/circadian metrics and specific omics patterns, with these patterns contributing to diabetes risk prediction. We expect to find that the omics-level pathways associated with sleep/circadian phenotypes partially mediate their relationship with diabetes and its complications. By establishing this link, our findings will enhance understanding of the molecular underpinnings of sleep’s influence on diabetes risk and may provide new, omics-informed targets for prevention strategies.

Demographic Categories of Interest

  • Age
  • Geography

Data Set Used

Controlled Tier

Research Team

Owner:

  • Xiao Tan - Research Fellow, Stockholm University, Department of Psychology
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Circadian rhythm and activity in cancer survivors

Post-diagnostic physical activity is a significant protective factor against all-cause mortality among survivors; however, it is unclear that physical activity levels or circadian rhythms will change after cancer diagnosis and its impact on cancer survivorship. Moreover, the research on physical…

Scientific Questions Being Studied

Post-diagnostic physical activity is a significant protective factor against all-cause mortality among survivors; however, it is unclear that physical activity levels or circadian rhythms will change after cancer diagnosis and its impact on cancer survivorship. Moreover, the research on physical activity timing (pre/post-treatment) and its effect on treatment still needs to be clarified.

Project Purpose(s)

  • Population Health
  • Social / Behavioral

Scientific Approaches

We will conduct both descriptive and analytical analyses. We will first describe the pre/post-diagnosis physical activity levels (step counts etc.) and circadian levels among cancer survivors, then leverage longitudinal data collected to conduct prospective studies on cancer and non-cancer outcomes.

Anticipated Findings

The findings will be the first to compressively describe physical activity patterns and circadian rhythm among cancer survivors in a diverse population, taking into account individual characteristics, cancer type, and cancer treatment and leveraging unprecedented data from All of Us. In addition, the finding will also add evidence to how physical activity affects long-term survivorship in cancer patients. These topics are among the scientific priority identified by the NCI.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

  • Xiaoyu Zong - Project Personnel, Washington University in St. Louis

Collaborators:

  • Ruiyi Tian - Graduate Trainee, Washington University in St. Louis
  • Shinghei Mok - Graduate Trainee, Washington University in St. Louis
  • Chongliang Luo - Early Career Tenure-track Researcher, Washington University in St. Louis
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Duplicate of Circadian new

What trends exist in the All of Us wearable data with respect to demographics? We will be looking at averages across all available wearable data as well as self-reported demographics.

Scientific Questions Being Studied

What trends exist in the All of Us wearable data with respect to demographics? We will be looking at averages across all available wearable data as well as self-reported demographics.

Project Purpose(s)

  • Methods Development
  • Control Set

Scientific Approaches

We will use all available FitBit data from participants and create statistical descriptions of their time series data. We will use correlational analyses to analyze the relationship between these variables and self-reported demographics.

Anticipated Findings

We expect that many of the self-reported demographics will be correlated with mean wearable device data.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

  • Patrick Kasl - Graduate Trainee, University of California, San Diego
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Duplicate of Circadian Rhythms and Vascular Disease v7 2/5/24

This research will serve an exploratory role in examining the links between the gene variants believed to affect circadian rhythms and the prevalence of vascular diseases including coronary artery disease, stroke, and pulmonary hypertension.

Scientific Questions Being Studied

This research will serve an exploratory role in examining the links between the gene variants believed to affect circadian rhythms and the prevalence of vascular diseases including coronary artery disease, stroke, and pulmonary hypertension.

Project Purpose(s)

  • Disease Focused Research (Vascular Diseases)
  • Ancestry

Scientific Approaches

This study will utilize medical diagnoses and genomic data to assist with formulating specific scientific questions.

Anticipated Findings

The anticipated findings of this study are unknown. Potential findings from this study may help to better understand the biological mechanisms underlying vascular disease and assist in the identification of preventive and therapeutic strategies.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Collaborators:

  • Michael Creager - Research Fellow, University of Pittsburgh
  • Anisha Shah - Other, University of Pittsburgh
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Circadian new

What trends exist in the All of Us wearable data with respect to demographics? We will be looking at averages across all available wearable data as well as self-reported demographics.

Scientific Questions Being Studied

What trends exist in the All of Us wearable data with respect to demographics? We will be looking at averages across all available wearable data as well as self-reported demographics.

Project Purpose(s)

  • Methods Development
  • Control Set

Scientific Approaches

We will use all available FitBit data from participants and create statistical descriptions of their time series data. We will use correlational analyses to analyze the relationship between these variables and self-reported demographics.

Anticipated Findings

We expect that many of the self-reported demographics will be correlated with mean wearable device data.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

  • Patrick Kasl - Graduate Trainee, University of California, San Diego
Request a Review of this Research Project

CT Circadian Rhythms and Cardiovascular Disease

We are exploring data on the disruption of circadian rhythms and their association with cardiovascular. This will help us understand the strength of such an association and the reasons behind it.

Scientific Questions Being Studied

We are exploring data on the disruption of circadian rhythms and their association with cardiovascular. This will help us understand the strength of such an association and the reasons behind it.

Project Purpose(s)

  • Other Purpose (Diseased-focused exploratory research for hypothesis generation. )

Scientific Approaches

We will look at EHR data. We will apply statistical modeling to test for an association between circadian disruption and cardiovascular disease. We will further analyze possible factors behind it.

Anticipated Findings

Evidence exists for the association between circadian rhythm disruption and atherosclerotic disease and arrhythmias. Given the similarities between the risk factors between cardiovascular diseases , we expect that disrupting circadian rhythms would increase the risk for other cardiovascular disorders. This would further add to our knowledge of cardiovascular disease and help prevent it.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Request a Review of this Research Project

Circadian CLOCK Gene Study

If mutations in CLOCK genes result in misregulation in circadian rhythms, will this factor have a correlation cancer. The reason fro exploring this data is to learn more about circadian rhythm and how the genetic basis could potentially impact cancer.…

Scientific Questions Being Studied

If mutations in CLOCK genes result in misregulation in circadian rhythms, will this factor have a correlation cancer.

The reason fro exploring this data is to learn more about circadian rhythm and how the genetic basis could potentially impact cancer. This will allow future research on different treatment options and predisposition for cancer.

Project Purpose(s)

  • Educational

Scientific Approaches

We plan to use data from people with cancer and people without cancer. We will be using variables such as age (18-60), gender, demographic, and genetic ancestry. These datasets will be cross analyzed with CLOCK gene, which is involved in the regulation of circadian rhythms. We will compare the whole genome sequences (GWAS) for the participants. We will use this to compare individuals with cancer and without in regards to their CLOCK gene. We will analyze our results using R.

Anticipated Findings

The anticipated finding for this study would be that a mutation in the CLOCK gene would result in misregulation of circadian rhythms, which would have a correlation with cancer. If our hypothesis is true this can contribute to the body of scientific knowledge by helping create more treatment options and determine a possible predisposition for cancer.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Collaborators:

  • Kathryn McDougal - Other, Towson University
  • Jaelyn McCracken - Undergraduate Student, Towson University
  • Akeem Laurence - Undergraduate Student, Towson University
  • Aislinn Bloom - Undergraduate Student, Towson University
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Circadian Clock Gene Study

If mutations in CLOCK genes result in a misregulation of the circadian rhythm, will this factor have a correlation to cancer? The reason for exploring this data is to learn more about the circadian rhythm and how its genetic basis…

Scientific Questions Being Studied

If mutations in CLOCK genes result in a misregulation of the circadian rhythm, will this factor have a correlation to cancer?

The reason for exploring this data is to learn more about the circadian rhythm and how its genetic basis could potentially impact cancer. This will allow future research on different treatment options and predispositions for cancer.

Project Purpose(s)

  • Educational

Scientific Approaches

We plan to use data from people with cancer and people without cancer. We will include variables such as age (18-60 years old), gender, demographic, genetic ancestry, and more. We will cross-analyze this dataset with the CLOCK gene which controls the circadian rhythm. We will compare the whole genome sequences (GWAs) for each participant for the CLOCK gene. We will see if there are mutations in the CLOCK gene for people with cancer vs. people without cancer. To do this analyzation we will use R.

Anticipated Findings

The anticipated findings from the study are that mutations in the CLOCK gene leading to the misregulation of circadian rhythms will result in a correlation to people with cancer. If our hypothesis is correct, our findings will contribute to scientific knowledge because more treatment options could be available/created and could be another potential predisposition for cancer.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Collaborators:

  • Kathryn McDougal - Other, Towson University
  • Jaelyn McCracken - Undergraduate Student, Towson University
  • Erica Korolev - Undergraduate Student, Towson University
  • Akeem Laurence - Undergraduate Student, Towson University
Request a Review of this Research Project

CT Circadian Rhythms and valve disease

We are exploring data on the disruption of circadian rhythms and their association with heart valve disease. This will help us understand whether such an association exists and the reasons behind it.

Scientific Questions Being Studied

We are exploring data on the disruption of circadian rhythms and their association with heart valve disease. This will help us understand whether such an association exists and the reasons behind it.

Project Purpose(s)

  • Other Purpose (Diseased-focused exploratory research for hypothesis generation. )

Scientific Approaches

We will look at EHR data and fitbit data. We will apply statistical modeling to test for an association between circadian disruption and heart valve disease. If such an association is found we will further analyze possible factors behind it.

Anticipated Findings

Evidence exists for the association between circadian rhythm disruption and atherosclerotic disease. Given the similarities between the risk factors for heart valve disease and atherosclerotic disease, we expect that disrupting circadian rhythms would increase the risk for valve disease. This would further add to our knowledge of valve disease and help prevent this relatively under-studied conditio

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Request a Review of this Research Project

Duplicate of Circadian Rhythms and valve disease

We are exploring data on the disruption of circadian rhythms and their association with heart valve disease. This will help us understand whether such an association exists and the reasons behind it.

Scientific Questions Being Studied

We are exploring data on the disruption of circadian rhythms and their association with heart valve disease. This will help us understand whether such an association exists and the reasons behind it.

Project Purpose(s)

  • Other Purpose (Diseased-focused exploratory research for hypothesis generation. )

Scientific Approaches

We will look at EHR data and fitbit data. We will apply statistical modeling to test for an association between circadian disruption and heart valve disease. If such an association is found we will further analyze possible factors behind it.

Anticipated Findings

Evidence exists for the association between circadian rhythm disruption and atherosclerotic disease. Given the similarities between the risk factors for heart valve disease and atherosclerotic disease, we expect that disrupting circadian rhythms would increase the risk for valve disease. This would further add to our knowledge of valve disease and help prevent this relatively under-studied condition.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

Request a Review of this Research Project

Circadian Rhythms and Vascular Disease

This research will serve an exploratory role in examining the links between the gene variants believed to affect circadian rhythms and the prevalence of vascular diseases including coronary artery disease, stroke, and pulmonary hypertension.

Scientific Questions Being Studied

This research will serve an exploratory role in examining the links between the gene variants believed to affect circadian rhythms and the prevalence of vascular diseases including coronary artery disease, stroke, and pulmonary hypertension.

Project Purpose(s)

  • Disease Focused Research (Vascular Diseases)
  • Ancestry

Scientific Approaches

This study will utilize medical diagnoses and genomic data to assist with formulating specific scientific questions.

Anticipated Findings

The anticipated findings of this study are unknown. Potential findings from this study may help to better understand the biological mechanisms underlying vascular disease and assist in the identification of preventive and therapeutic strategies.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Collaborators:

  • Anisha Shah - Other, University of Pittsburgh
Request a Review of this Research Project

Circadian Rhythms and valve disease

We are exploring data on the disruption of circadian rhythms and their association with heart valve disease. This will help us understand whether such an association exists and the reasons behind it.

Scientific Questions Being Studied

We are exploring data on the disruption of circadian rhythms and their association with heart valve disease. This will help us understand whether such an association exists and the reasons behind it.

Project Purpose(s)

  • Other Purpose (Diseased-focused exploratory research for hypothesis generation. )

Scientific Approaches

We will look at EHR data and fitbit data. We will apply statistical modeling to test for an association between circadian disruption and heart valve disease. If such an association is found we will further analyze possible factors behind it.

Anticipated Findings

Evidence exists for the association between circadian rhythm disruption and atherosclerotic disease. Given the similarities between the risk factors for heart valve disease and atherosclerotic disease, we expect that disrupting circadian rhythms would increase the risk for valve disease. This would further add to our knowledge of valve disease and help prevent this relatively under-studied condition.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

Request a Review of this Research Project

Circadian

Our primary goal is to understand the interaction between circadian rhythms and the genome. Measures of circadian rhythms are associated with lower prevalence and better outcomes in virtually every human disease. These analyses will generate hypotheses guiding genomic insights into…

Scientific Questions Being Studied

Our primary goal is to understand the interaction between circadian rhythms and the genome. Measures of circadian rhythms are associated with lower prevalence and better outcomes in virtually every human disease. These analyses will generate hypotheses guiding genomic insights into genetic mechanisms driving circadian rhythms.

Project Purpose(s)

  • Disease Focused Research (Circadian Stability)

Scientific Approaches

Measures of circadian phenotypes will be generated and correlated with genetic variants. We will use the Fitbit data paired with genotypic data to investigate these analyses.

Anticipated Findings

We expect that certain circadian phenotypes will be associated with novel genetic associations.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

  • Patrick Kasl - Graduate Trainee, University of California, San Diego
Request a Review of this Research Project
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