Research Projects Directory

Duplicate of BCM All of Us EwG - V8 Demo of GWAS with type 2 diabetes

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query…

Scientific Questions Being Studied

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Project Purpose(s)

Educational

Scientific Approaches

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Anticipated Findings

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Vikram Shaw - Graduate Trainee, Baylor College of Medicine

@@Duplicate of AD and diabetes

Recently, GWAS and proteomics data have been used to examine the association between genotypes and protein abundance that has promoted the emergence of data analyses, which facilitate the combination of multidimensional data and integrate protein expression data with GWAS findings…

Scientific Questions Being Studied

Recently, GWAS and proteomics data have been used to examine the association between genotypes and protein abundance that has promoted the emergence of data analyses, which facilitate the combination of multidimensional data and integrate protein expression data with GWAS findings in Alzheimer's disease (AD) and diabetic pathogenesis.

Project Purpose(s)

Disease Focused Research (dementia and diabetes)
Population Health
Social / Behavioral
Control Set
Ancestry

Scientific Approaches

The data from GWAS will be analyzed by following steps:
1. Performing GWAS using data from the All of Us research program to identify potential genes related to AD and diabetes.
2. Conducting protein quantitative trait locus (QTL) analysis of 191,440 proteins in serum or plasma to detect associations between AD-associated genotypes and protein abundance.

Anticipated Findings

Overall, this grant proposal seeks to advance our understanding of the genetic basis and protein biomarkers of AD and diabetes and identify novel therapeutic targets for the disease.

Demographic Categories of Interest

Data Set Used

Controlled Tier

Research Team

Owner:

Chun (Cathy) Xu - Mid-career Tenured Researcher, University of Texas, Rio Grande Valley

Collaborators:

Kesheng Wang - Teacher/Instructor/Professor, University of South Carolina
Belinda Alvarado - Graduate Trainee, University of Texas, Rio Grande Valley
Bassent Abdelbary - Other, University of Texas, Rio Grande Valley

Gestational Diabetes Risk Prediction Exploratory Analysis

This is exploratory data analysis for gestational diabetes research. Gestational diabetes is one of the most common pregnancy complications which can cause hypertension, future type 2 diabetes, etc. for the mother and macrosomia, stillbirth, hyperglycemia, etc. for the baby. Therefore,…

Scientific Questions Being Studied

This is exploratory data analysis for gestational diabetes research. Gestational diabetes is one of the most common pregnancy complications which can cause hypertension, future type 2 diabetes, etc. for the mother and macrosomia, stillbirth, hyperglycemia, etc. for the baby. Therefore, it is important to identify gestational diabetes as early as possible to manage it. This project would be to explore available data and potential avenues to analyze and identify risk predictors or markers for diagnosis.

Project Purpose(s)

Disease Focused Research (Gestational Diabetes)
Ancestry

Scientific Approaches

This is to gain access to view available datasets for future exploratory analysis of SNP/variant data for gestational diabetes.

Anticipated Findings

The findings would be a potential power analysis to determine if differential comparison of gestational diabetes and controls is feasible for SNP/variant analysis.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Johnna Sanders - Research Associate, University of North Carolina, Charlotte

[v8 Update] SHAP Interaction Values: ML Diabetes Health Disparities (MC)

We are looking at investigating the social | economic | genetic | and geographic causes of health disparities, with an exploratory study using diabetes. This part of the research taking place in the Jordan Lab at Georgia Tech will also…

Scientific Questions Being Studied

We are looking at investigating the social | economic | genetic | and geographic causes of health disparities, with an exploratory study using diabetes. This part of the research taking place in the Jordan Lab at Georgia Tech will also be used to introduce masters students to advanced data analysis techniques.

Project Purpose(s)

Disease Focused Research (type 2 diabetes mellitus)
Population Health
Educational
Ancestry

Scientific Approaches

We intend to use new metrics that combine geographic and socioeconomic data with a genetic basis for ancestry to stratify the occurence of diabetes in populations, then use advanced machine learning techniques to determine the relative occurence of diabetes within those populations.

Anticipated Findings

This research is as much a validation study of the metrics proposed by others in the lab group as it is an exploratory study. We will first seek to see if the conclusions rendered from UK biobank are matched.

Demographic Categories of Interest

Data Set Used

Controlled Tier

Research Team

Owner:

Rick Lee - Undergraduate Student, Georgia Institute of Technology

Collaborators:

Vincent Lam - Research Fellow, National Institute on Minority Health and Health Disparities (NIH-NIMHD)
Shikhar Verma - Graduate Trainee, Georgia Institute of Technology
Manoj Kambara - Other, National Institute on Minority Health and Health Disparities (NIH-NIMHD)

Equity in type 2 diabetes diagnosis

The objective of this retrospective data analysis study is to measure, first, the probability of testing for type 2 diabetes (DM2), and second, the probability of diagnosis and treatment for DM2 among patients with a laboratory test for hemoglobin A1c…

Scientific Questions Being Studied

The objective of this retrospective data analysis study is to measure, first, the probability of testing for type 2 diabetes (DM2), and second, the probability of diagnosis and treatment for DM2 among patients with a laboratory test for hemoglobin A1c near the diagnostic threshold. A secondary objective is to examine heterogeneity in testing, diagnosis, and treatment by patient characteristics such as sex, race/ethnicity, comorbidities, insurance status, and other socio-demographic measures.

Project Purpose(s)

Disease Focused Research (Type 2 diabetes mellitus)
Population Health

Scientific Approaches

- This is a retrospective, descriptive study that will use regression discontinuity design (RDD). Our primary approach is to use regression discontinuity design to first examine the effect of eligibility for diagnosis with DM2 (hemoglobin A1c >= 6.5%) on actual diagnosis. This method assumes that patients very close to the diagnostic threshold are arbitrarily scattered on either side of it, e.g., a patient with hemoglobin A1c 6.4 is comparable to a patient with hemoglobin A1c 6.6. RDD entails fitting a flexibly polynomial regression separately on either side of the diagnostic threshold.
- To understand which types of patients are diagnosed with DM2 we estimate heterogeneity in the probability of diagnosis at the threshold by patient characteristics such as sex, age, race/ethnicity, and overweight or obese categories.
- We will additionally perform balance tests to understand if similar patients exist in either side of the threshold.

Anticipated Findings

These findings may reflect the role of judgement and decision-making in medicine: prior work has shown that not only do clinicians decide which patients to test for a given disease, they also decide whether to act on the results of the test and proceed with diagnosis and treatment. While clinical practice guidelines aim to standardize decisions, non-adherence is often high, and clinicians sometimes argue that guidelines are designed for the average patient, not the patient in front of them. When clinicians deviate from guidelines it is not known how or why these decisions or made. A first step in understanding discretion in clinical decision-making is to investigate which patients do or do not get diagnosed, conditional on a positive test; this project examines heterogeneity in diagnosis with DM2 by patient characteristics to gain an understanding of clinical decision-making and determine whether clinician discretion around diagnosis contributes to disparities in DM2 outcomes.-

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Claire Boone - Early Career Tenure-track Researcher, The Research Institute of the McGill University Health Centre
Alaa Haboush - Graduate Trainee, The Research Institute of the McGill University Health Centre

EGM - diabetes

I intend to take advantage of this huge dataset to study the pattern of diabetes and related diseases it induces, mainly using machine learning methods.

Scientific Questions Being Studied

I intend to take advantage of this huge dataset to study the pattern of diabetes and related diseases it induces, mainly using machine learning methods.

Project Purpose(s)

Disease Focused Research (diabetes mellitus)
Methods Development
Control Set
Ancestry

Scientific Approaches

I will focus on machine learning methods, i.e., graph neural network (GNN)-based models for backbone methods, to perform downstream disease prediction tasks or disease subtypes discovery. I will use AllofUs dataset to perform this research, and use Python for experiments.

Anticipated Findings

We expect to connect different modalities within the AllofUs dataset and build robust machine learning model for better disease prediction capabilities. In previous EHR datasets, I had trouble finding multimodal data with such magnitude like AllofUs. With these vast data and machine learning methods, I am more capable of building accurate and insightful model for healthcare.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Ziyang Zhang - Graduate Trainee, Emory University

Collaborators:

Weimin Meng - Graduate Trainee, University of Florida
Rui Yin - Early Career Tenure-track Researcher, University of Florida
Lily Wang - Graduate Trainee, Emory University
Chang Liu - Graduate Trainee, Emory University

Association Analysis for Diabetes

Research purpose is to investigate disparities between different ethnic/racial groups in the frequency of diagnosis of diabetes.

Scientific Questions Being Studied

Research purpose is to investigate disparities between different ethnic/racial groups in the frequency of diagnosis of diabetes.

Project Purpose(s)

Disease Focused Research (Type 2 Diabetes)
Population Health
Ancestry

Scientific Approaches

I will be using genomic data and GWAS methods. I will be building a cohort of people with diabetes that have their identity listed.

Anticipated Findings

It is anticipated that populations like Native Americans will on average exhibit different mutations in genes associated with diabetes than people with diabetes that are at less risk of diabetes.

Demographic Categories of Interest

Data Set Used

Controlled Tier

Research Team

Owner:

Paolo Lambre - Undergraduate Student, DePaul University

MCF Duplicate of BCM All of Us EwG - V8 Demo of GWAS with type 2 diabetes

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query…

Scientific Questions Being Studied

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Project Purpose(s)

Educational

Scientific Approaches

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Anticipated Findings

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Mizpha Fernander - Research Fellow, North Carolina A&T State University

YYJ- Duplicate of BCM All of Us EwG - V8 Demo of GWAS with type 2 diabetes

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query…

Scientific Questions Being Studied

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Project Purpose(s)

Educational

Scientific Approaches

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Anticipated Findings

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Yijiong Yang - Research Fellow, Florida State University

Kehinde_Duplicate of BCM All of Us EwG - V8 Demo of GWAS with type 2 diabetes

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query…

Scientific Questions Being Studied

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Project Purpose(s)

Educational

Scientific Approaches

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Anticipated Findings

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Olasunkanmi Kehinde - Early Career Tenure-track Researcher, Elizabeth City State University

MCF Duplicate of BCM All of Us EwG - V8 Demo of GWAS with type 2 diabetes

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query…

Scientific Questions Being Studied

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Project Purpose(s)

Educational

Scientific Approaches

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Anticipated Findings

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Mizpha Fernander - Research Fellow, North Carolina A&T State University

Duplicate of BCM All of Us EwG - V8 Demo of GWAS with type 2 diabetes

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query…

Scientific Questions Being Studied

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Project Purpose(s)

Educational

Scientific Approaches

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Anticipated Findings

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Cynthia Tchio - Research Fellow, Mass General Brigham

Genomic mutations of GLP1R among type 2 diabetes patients

The goal of this project is to investigate mutations in specific genomic sequences that contribute to the variations in the effectiveness of GLP-1 agonists among patients diagnosed with type 2 diabetes.

Scientific Questions Being Studied

The goal of this project is to investigate mutations in specific genomic sequences that contribute to the variations in the effectiveness of GLP-1 agonists among patients diagnosed with type 2 diabetes.

Project Purpose(s)

Disease Focused Research (Type 2 diabetes)

Scientific Approaches

We will use multivariate regression models and other health services research methods for All of Us participants diagnosed with type 2 diabetes, prescribed GLP-1 agonists and have short-read whole genome sequencing (WGS) structural variants dataset. We will stratify by their A1C level. We will use a combination of genomic data, self-reported survey data, physical measurements, and electronic health records to examine ways in which genomic mutations contribute to the effectiveness of GLP-1 agonists among patients with type 2 diabetes.

Anticipated Findings

Results from this study will contribute to our understanding of genomic disparities in the effectiveness of GLP-1 agonists, that may lead to the differential clinical outcomes, uptake and adherence among patients.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Munichandra Tirumalasetty - Research Associate, New York University, Grossman School of Medicine

Collaborators:

Vivian Hsing-Chun Wang - Research Fellow, New York University, Grossman School of Medicine

Duplicate of BCM All of Us EwG - V8 Demo of GWAS with type 2 diabetes

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query…

Scientific Questions Being Studied

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Project Purpose(s)

Educational

Scientific Approaches

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Anticipated Findings

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Andrew Bigler - Graduate Trainee, Baylor College of Medicine

Duplicate of BCM All of Us EwG - V8 Demo of GWAS with type 2 diabetes

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query…

Scientific Questions Being Studied

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Project Purpose(s)

Educational

Scientific Approaches

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Anticipated Findings

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

STELLA ADEYEMO - Research Fellow, Texas Southern University, College of Pharmacy and Health Sciences

Duplicate of BCM All of Us EwG - V8 Demo of GWAS with type 2 diabetes

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query…

Scientific Questions Being Studied

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Project Purpose(s)

Educational

Scientific Approaches

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Anticipated Findings

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Olasunkanmi Kehinde - Early Career Tenure-track Researcher, Elizabeth City State University

GMNG Duplicate of BCM All of Us EwG - V8 Demo of GWAS with type 2 diabetes

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query…

Scientific Questions Being Studied

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Project Purpose(s)

Educational

Scientific Approaches

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Anticipated Findings

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Graciela Nogueras - Research Fellow, MD Anderson Cancer Center

SA Duplicate of BCM All of Us EwG - V8 Demo of GWAS with type 2 diabetes

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query…

Scientific Questions Being Studied

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Project Purpose(s)

Educational

Scientific Approaches

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Anticipated Findings

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

STELLA ADEYEMO - Research Fellow, Texas Southern University, College of Pharmacy and Health Sciences

[OK]Duplicate of BCM All of Us EwG - V8 Demo of GWAS with type 2 diabetes

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query…

Scientific Questions Being Studied

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Project Purpose(s)

Educational

Scientific Approaches

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Anticipated Findings

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Olasunkanmi Kehinde - Early Career Tenure-track Researcher, Elizabeth City State University

Genetics of Diabetes and its related Metabolic Traits v8

Hundreds of genetic variants have been linked with diabetes and related metabolic conditions, including for obesity, type-two diabetes, HbA1c (glycated haemoglobin).. However, the biological pathways by which they act is not yet clear, nor have all causal genetic variants been…

Scientific Questions Being Studied

Hundreds of genetic variants have been linked with diabetes and related metabolic conditions, including for obesity, type-two diabetes, HbA1c (glycated haemoglobin).. However, the biological pathways by which they act is not yet clear, nor have all causal genetic variants been identified, especially those in the fewest individuals. We intend to run genome-wide association studies between these phenotypes (e.g. individuals who suffer from diabetes versus those who do not, or BMI as a continuous trait), and other diabetes-related phenotypes (HbA1c, glucose etc) against genetic variants from the Whole Genome Sequencing data. Our results will improve the field’s understanding of the biological pathways for these conditions. The All of Us data set is crucial for answering these questions, due to its diverse genetic ancestry. Whole genome sequencing contains nearly all genetic variants, down to the rarest (<1% of individuals), which aids our ability to identify causal genetic mutations.

Project Purpose(s)

Disease Focused Research (type 2 diabetes mellitus)
Ancestry

Scientific Approaches

We will be performing genome-wide association studies, comparing the frequency of variants between individuals who do and do not suffer from diabetes and other complications, or looking to identify variants that are associated with increased or decreased BMI/HbA1c. We will use the software tool REGENIE to perform our analysis, which rigorously controls for known confounders. Our association analyses will be performed using the most recent release of whole-genome sequencing data. We will also perform downstream analyses, such as Fine Mapping, which inform us about which variants are and are not causal.

Anticipated Findings

We anticipate finding novel genetic factors associated with metabolic and diabetes-related diseases. Our results will be published in high-impact journals under an open-access agreement.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Robin Beaumont - Research Fellow, University of Exeter
Michael Weedon - Senior Researcher, University of Exeter
Harry Wright - Research Assistant, University of Exeter
Gareth Hawkes - Research Fellow, University of Exeter

Collaborators:

Theo Valentine Lupu - Early Career Tenure-track Researcher, University of Exeter
Lauric Ferrat - Early Career Tenure-track Researcher, Universite de Geneve

Duplicate of BCM All of Us EwG - V8 Demo of GWAS with type 2 diabetes

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query…

Scientific Questions Being Studied

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Project Purpose(s)

Educational

Scientific Approaches

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Anticipated Findings

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Ayodele Akinremi - Early Career Tenure-track Researcher, Hampton University

MCF Duplicate of BCM All of Us EwG - V8 Demo of GWAS with type 2 diabetes

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query…

Scientific Questions Being Studied

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Project Purpose(s)

Educational

Scientific Approaches

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Anticipated Findings

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Mizpha Fernander - Research Fellow, North Carolina A&T State University

BRS_Duplicate of BCM All of Us EwG - V8 Demo of GWAS with type 2 diabetes

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query…

Scientific Questions Being Studied

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Project Purpose(s)

Educational

Scientific Approaches

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Anticipated Findings

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Brittany Sanders - Research Fellow, North Carolina A&T State University

AA_Duplicate of BCM All of Us EwG - V8 Demo of GWAS with type 2 diabetes

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query…

Scientific Questions Being Studied

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Project Purpose(s)

Educational

Scientific Approaches

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Anticipated Findings

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Aya Awwad - Research Fellow, Mass General Brigham

KMS Duplicate of BCM All of Us EwG - V8 Demo of GWAS with type 2 diabetes

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query…

Scientific Questions Being Studied

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Project Purpose(s)

Educational

Scientific Approaches

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Anticipated Findings

This workspace is intended to be an introductory example of how to do a genome-wide association study (GWAS) and other genomic analyses. It includes additional notebooks on how to curate the phenotype file for a GWAS and how to query the All by All tables.. This workspace is for demonstration and educational purposes only, including presentation at the All of Us Evenings with Genetic's 2025 Biomedical Researcher Faculty Summit. This workspace and its workshop are developed by Baylor College of Medicine’s All of Us Evenings with Genetics Research Program (https://bcm.edu/allofuseveningswithgenetics). Any questions about the workspace can be directed to Julie Coleman (julie.coleman@bcm.edu).

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Controlled Tier

Research Team

Owner:

Katherine Schafer - Early Career Tenure-track Researcher, Vanderbilt University Medical Center

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