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Data Access Tiers

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A new study to better understand the health outcomes of sexual and gender minority people

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Mitchell R. Lunn, MD, MAS, FACP, FASN Assistant Professor of Medicine and of Epidemiology and Population Health at Stanford University School of Medicine HEALTH OUTCOMES…

Nationwide Case-Control Analysis of Merkel Cell Carcinoma and Associated Skin Cancer Comorbidities: An Examination of the All of Us Database

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Data Methods

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Achieving a Representative Sample of Asian Americans in Biomedical Research Through Community-Based Approaches: Comparing Demographic Data in the All of Us Research Program With the American Community Survey

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Studying the link between discrimination and depressive symptoms

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Younga “Heather” Lee, PhDPostdoctoral Research Fellow, Massachusetts General Hospital, Harvard Medical School, Broad Institute of MIT and HarvardSmoller Laboratory, Psychiatric & Neurodevelopmental Genetics Unit, Center…

Examining Sickle Cell Trait Associated Clinical Outcomes in the All of Us research Program

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Autoimmune comorbidities associated with sarcoidosis: a case-control study in the All of Us research program

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The common p.Ile291Val variant of ERLIN1 enhances TM6SF2 function and is associated with protection against MASLD

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Comorbidities associated with mycosis fungoides: A case-control study in the All of Us database

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Psychiatric comorbidities associated with granuloma annulare: A case-control study in the All of Us database

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A retrospective case-control analysis of various comorbidities associated with Merkel Cell Carcinoma

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A common flanking variant is associated with enhanced stability of the FGF14-SCA27B repeat locus

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Psychiatric comorbidities associated with rosacea: A propensity score-matched case-control study in the All of Us database

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Comorbidities associated with granuloma annulare: A case-control study in the All of Us research program

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Cardiovascular comorbidities are associated with dermatomyositis: A cross-sectional study in the All of Us Research Program

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Sarcoidosis Is Associated With Hematologic Comorbidities: A Cross-Sectional Study in the All of Us Research Program

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Lice in adult patients is associated with psychiatric comorbidities and unstable housing in a matched case-control study using the All of Us Database

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Comorbidities associated with discoid lupus erythematosus: A case-control study in the All of Us Research Program

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Neuropsychiatric complications and associated management in adolescent and young adult cancer survivors: An All of Us study

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Keloids and associated comorbidities in underrepresented populations: a cross-sectional analysis of the All of Us database

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Common and rare variants associated with cardiometabolic traits across 98,622 whole-genome sequences in the  All of Us  research program

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Replicating published findings on hypertension prevalence in diverse populations

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Paulette D. Chandler, MD, MPHAssistant Professor, Medicine - Harvard Medical SchoolAssociate Physician, Medicine - Brigham And Women's Hospital Validating the hypertension algorithm Hypertension (HTN) is…

Testing assumptions about cardiovascular health in underrepresented groups

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Julián Acosta, MDPostdoctoral Research Fellow, NeurologyYale School of Medicine Guido Falcone, MD, ScD, MPHAssistant Professor of Neurology; Director of Clinical Research in Neurocritical CareYale School…

Causal effects on complex traits are similar for common variants across segments of different continental ancestries within admixed individuals

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A comprehensive analysis of lung cancer highlighting epidemiological factors and psychiatric comorbidities from the All of Us Research Program

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Privacy Policy

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All of Us Research Hub Privacy Policy The following privacy policy discloses the information gathering and dissemination practices for the Vanderbilt University Medical Center (“VUMC”)…

What is the composition of the All of Us cohort?

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All of Us aims to engage a cohort of 1 million or more participants that reflects the rich diversity of America, including populations that have…

New study fuels debate about the Latino Epidemiological Paradox in the U.S.

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Olveen Carrasquillo, MD, MPHChief, Division of General Medicine - University of Miami;Miller School of Medicine Principal Investigator - All of Us Research Program at University…

An exploration of reproductive health issues that disproportionately affect Black women

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Nyia L Noel, MD, MPH Assistant Professor of Medicine Boston University School of Medicine Studying racial disparities in the prevalence of hypertensive pregnancy disorders and…

Low-Income, Poor Physical Health, Poor Mental Health, and Other Social Risk Factors Are Associated With Decreased Access to Care in Patients With Carpal Tunnel Syndrome

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Determining the prevalence of autoimmune diseases in the U.S.

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Aaron Abend, M.B.A.Executive Director, Autoimmune Registry; Managing Director, Prognosis Data Corp; Member, All of Us Advisory Panel Emily HolladayMasters in Public Health (MPH) student, The…

Creating a more personalized, risk-based approach to breast cancer screening 

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Elizabeth S. Burnside, MD, MPH, MS, FACRProfessor, RadiologyAssociate Dean, Team Science and Interdisciplinary Research, University of Wisconsin School of Medicine and Public HealthDeputy Executive Director,…

Data Snapshots

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Data Snapshots These aggregated, public-facing data snapshots provide an overview of All of Us Research Program participant characteristics and the types of data that we…

Engaging Sexual and Gender Minority (SGM) Communities for Health Research: Building and Sustaining PRIDEnet

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Sounding out solutions: using SONAR to connect participants with relevant healthcare resources

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Ethical Conduct of Research Policy

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The All of Us Research Program requires authorized users of the All of Us data to conduct research that follows and conforms to the ethical…

A national examination of discrimination, resilience, and depressive symptoms during the COVID-19 pandemic: the All of Us Research Program

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Examining the association of non-melanoma skin cancer with immunomodulatory conditions: a cross-sectional analysis of the All of Us database

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Examining health care access disparities in Hispanic populations with peripheral artery disease and diabetes

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An evaluation of the All of Us Research Program database to examine cumulative stress

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Examining the burden of psoriasis and psoriatic arthritis in a US adult cohort using the All of Us Research Program

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Examining sociodemographic correlates of opioid use, misuse, and use disorders in the All of Us Research Program

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Using All of Us data to examine the mental health change during COVID-19 pandemic among people living with HIV: A longitudinal study protocol

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Thyroid disorders associated with lichen sclerosus: A case-control study in the All of Us research program

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Systemic diseases associated with a diagnosis of achalasia: A case-control study with the All of Us research program

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Epidemiology and factors associated with cannabis use among patients with glaucoma in the All of Us  Research Program

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Higher Hospital Frailty Risk Score Is Associated With Increased Risk of Stroke: Observational and Genetic Analyses

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Lower Income and Nonheterosexual Orientation Are Associated With Poor Access to Care in Patients With Knee Osteoarthritis

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Exome sequence analysis identifies rare coding variants associated with a machine learning-based marker for coronary artery disease

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Psoriasis is associated with increased risk of other autoimmune diseases: A retrospective case-control study using the All of Us research database

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Social factors associated with the risk of glaucoma suspect conversion to glaucoma: analysis of the nationwide All of Us Program

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Phenome-wide association study identifies new clinical phenotypes associated with Staphylococcus aureus infections

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Characterizing phenotypic abnormalities associated with high-risk individuals developing lung cancer using electronic health records from the All of Us researcher workbench

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Psoriasis associated with asthma and allergic rhinitis: a US-based cross-sectional study using the All of Us Research Program

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Social determinants associated with loss of an eye in the United States using the All of Us nationwide database

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Lichen planus is associated with depression and anxiety: a cross-sectional study in the All of Us research program

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Sweet syndrome associated with moderate leukocyte adhesion deficiency type I: a case report and review of the literature

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Factors associated with pityriasis versicolor in a large national database

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Social and Health Care Utilization Factors Associated With Ophthalmic Visit Nonadherence in Glaucoma: An All of Us Study

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Rare predicted loss of function alleles in Bassoon (BSN) are associated with obesity

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Psoriasis associated with inflammatory bowel disease: a cross-sectional analysis in the NIH All of Us Research Program

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Using machine learning to develop a clinical prediction model for SSRI-associated bleeding: a feasibility study

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Use of medications associated with weight change among participants in the All of Us research programme

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Cutaneous Fungal Infections Associated with Pediatric-onset Diabetes: A Case-control Study in the All of Us Research Program

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Onychogryphosis Is Associated with Dermatologic and Vascular Disease: A Case-Control Study of the All of Us Research Program

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The power of TOPMed imputation for the discovery of Latino-enriched rare variants associated with type 2 diabetes

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Mental Health Conditions Associated With Strabismus in a Diverse Cohort of US Adults

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COPE survey sheds light on the pandemic’s effects on physical and mental health

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Holly Garriock, PhDChief CohortDevelopment OfficerAll of Us Research Program, National Institutes of Health Jordan Smoller, MD, SCDAssociate Chief for Research, Department of Psychiatry, Massachusetts General…

Comparing medical history data derived from electronic health records and survey answers in the All of Us Research Program

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Antibiotic prescribing by age, sex, race, and ethnicity for patients admitted to the hospital with community acquired bacterial pneumonia (CABP) in the All of Us database

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Age-dependent topic modeling of comorbidities in UK Biobank identifies disease subtypes with differential genetic risk

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Computational phenotyping with the All of Us Research Program: identifying underrepresented people with HIV or at risk of HIV

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How rural is All of Us? Comparing characteristics of rural participants in the National Institute of Health’s All of Us Research Program to other national data sources

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Antibiotic prescribing by age, sex, race, and ethnicity for patients admitted to the hospital with community-acquired bacterial pneumonia (CABP) in the All of Us database

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Association between psoriasis and obsessive-compulsive disorder: a case-control study in the All of Us research program

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Associations between healthcare utilization and access and diabetic retinopathy complications using All of Us nationwide survey data

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Association of autoimmune comorbidities with lichen planus: A US-based case-control study in the All of Us research program

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Barriers to care and health-related quality of life among US adults with several common chronic inflammatory skin diseases: a cross-sectional analysis of the NIH All of Us Research Program

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Increased risk of keloids in atopic dermatitis patients with allergic comorbidities: an all of us database analysis

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Association of Daily Step Count and Postoperative Complication among All of Us Research Participants

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Benchmarking computational variant effect predictors by their ability to infer human traits

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Comparison of family health history in surveys vs electronic health record data mapped to the observational medical outcomes partnership data model in the All of Us Research Program

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Association of lichen planus with cardiovascular disease: A combined analysis of the UK Biobank and All of Us Study

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Comorbidities of psoriasis in underrepresented patient populations: An All of Us database analysis

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Comparing COVID-19 vaccination coverage, adverse reactions and impact of social determinants of health on vaccine hesitancy in ADRD/MCI and non-ADRD/MCI population: protocol for a retrospective cross-sectional study

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Sleep patterns and risk of chronic disease as measured by long-term monitoring with commercial wearable devices in the All of Us Research Program

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Research participation in marginalized communities — overcoming barriers

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Autoimmune and Cutaneous Inflammatory Comorbidities in Adult-Onset Morphea in the All of Us Research Program

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Engagement with health research summaries via digital communication to All of Us participants

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Prevalence and comorbidity burden of prurigo nodularis in United States adults enrolled in the All of Us research program

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Returning value to the community through the All of Us Research Program Data Sandbox model

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Balancing efficacy and computational burden: weighted mean, multiple imputation, and inverse probability weighting methods for item non-response in reliable scales

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Empowering the biomedical research community: Innovative SAS deployment on the All of Us Researcher Workbench

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Communicating research findings as a return of value to All of Us Research Program participants: insights from staff at Federally Qualified Health Centers

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Psychiatric comorbidities of Hidradenitis suppurativa in underrepresented groups: a case-control study utilizing the All of Us research program

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Epidemiology of alopecia areata in the Hispanic/Latinx community: A cross-sectional analysis of the All of Us database

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Obsessive-compulsive disorder among patients with atopic dermatitis: a case-control study in the All of Us research program

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Prevalence, Comorbidity, and Sociodemographic Correlates of Psychiatric Disorders Reported in the All of Us Research Program

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Comparison of phenomic profiles in the All of Us Research Program against the US general population and the UK Biobank

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Comorbid psychiatric disease significantly mediates increased rates of alcohol use disorder among patients with inflammatory and pigmentary skin disorders: a case-control study in the All of Us Research Program

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Learning important common data elements from shared study data: The All of Us program analysis

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Computational Phenotyping of OMOP CDM Normalized EHR for Prenatal and Postpartum Episodes: An Informatics Framework and Clinical Implementation on All of Us

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Prevalence of 12 Common Health Conditions in Sexual and Gender Minority Participants in the All of Us Research Program

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Vitiligo in underrepresented communities: An All of Us database analysis

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Drug-Induced Liver Injury with Commonly Used Antibiotics in the All of Us Research Program

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De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repository

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How does All of Us assess diversity? What communities does All of Us consider “underrepresented in biomedical research?”

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All of Us is committed to engaging a cohort that is demographically, geographically, and medically diverse. Specifically, these are the populations the program considers underrepresented…

Where does the data come from?

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The data in the All of Us Data Browser comes from participant electronic health records and from survey answers and physical measurements taken at the…

COVID-19 Research Initiatives

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Researcher Workbench

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Survey Explorer

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Survey Explorer Participants in the All of Us Research Program respond to surveys spanning a variety of topics. The program has tested each survey for…

Robust estimation of heterogeneous treatment effects: an algorithm-based approach

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Drug Exposures

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ADVILMED, ALLBUPEN, ALLIPEN, ALLIPEN FOR CHILDN, ALLIPEN FOR CHILDREN, ALOPAN, ALUPEN, ANTARENE, ANYFEN, ARTICOOLFEN, AUSTIN IBUPROFEN, Act-3, Actiprofen, Addaprin, Adedolor, Advel, Advil, Advil Plus, Aifeile,…

Publication and Presentation Policy

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Below are some key points from the Publication and Presentation policy. Data users should follow the full policy, available for download at the bottom of…

What if I have trouble signing in to the Researcher Workbench?

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The All of Us Researcher Workbench uses Google sign in for all accounts.  This requires users to authenticate their account with Google and set cookies…

Data Sources

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Data Roadmap In the coming years, All of Us will enroll more participants and make more types of data available, as funding allows. Data availability…

Data Access Framework

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Below are some key points from the Data Access Framework. The full document is available for download at the bottom of this page. The Data…

What are medical concepts?

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Medical concepts are similar to medical terms; they describe information in a patient’s medical record, such as a condition they have, a doctor’s diagnosis, a…

Trajectories of Cardiovascular Risk Among Sexual and Gender Minority Populations

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Dr. Stephanie Cook, PhDNew York University James Weldon Johnson ProfessorAssistant Professor Department of Social and Behavioral SciencesDepartment of Biostatistics Director, Attachment and Health Research Lab…

Is there a cost to use the All of Us genomic data?

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There is no cost for researchers to register with the All of Us Research Program and to begin working within the dataset. Researchers will incur…

Development of Participant Provided Information Modules for the All of Us Research Program

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Establishing a National Engagement Strategy for Recruiting Asian Americans and Other Minorities into Biomedical Research

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Utilizing a Social-Ecological Health Promotion Framework to Engage Diverse Populations for Recruitment in the All of Us Research Program

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About the Research Hub

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About the Research Hub The All of Us Research Hub matches a broad research community with a diverse set of research participants. Its goal is…

Researchers as Partners

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Researchers as Partners We believe a diverse and broadly accessible data resource can help us build a healthier future. The All of Us Research Program…

Data User Appeals Policy

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Below are some key points from the All of Us Research Program Data User Appeals policy. Data users should follow the full policy, available for…

How are you gathering and curating information from electronic health records?

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The All of Us Research Program employs Observational Medical Outcomes Partnership (OMOP) Common Data Model Version 5 infrastructure to ensure feasibility and standardization across electronic…

How are participants recruited, and what does participation entail?

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Many participants are invited to enroll by one of our partner health care provider organizations, which include large academic medical centers, VA medical centers, and…

What is RxNorm?

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RxNorm is a naming system for all medications available in the U.S. market. The name of each drug is a compilation of its active ingredients,…

Do I need Institutional Review Board (IRB) approval from my own institution in order to access this data through the Researcher Workbench?

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Researchers should always check with their local institutional review board to ensure compliance with local requirements for conduct of research. We have provided the template…

What is genetic ancestry?

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The Data Browser includes calculated genetic ancestry associations of variants. Genetic ancestry shows the part of the world where an individual’s ancestors may have lived.…

What is OMOP?

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The All of Us Research Program employs Observational Medical Outcomes Partnership (OMOP) Common Data Model Version 5 infrastructure to ensure feasibility and standardization across all…

Integrating gene expression and clinical data to identify drug repurposing candidates for hyperlipidemia and hypertension

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Is there a cost to use the Researcher Workbench?

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There is no cost to access the Researcher Workbench. Computation costs for analyses, however, may be incurred through Google Cloud Platform. The All of Us…

Data & Tools

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Machine learning algorithms to predict major adverse cardiovascular events in patients with diabetes

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Have participants consented to share this data?

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Yes, all participants consent to participate in the All of Us Research Program. To learn more, visit: https://www.joinallofus.org/what-participants-share

What is LOINC?

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LOINC stands for Logical Observation Identifiers Names and Codes. LOINC is used by health provider organizations to code laboratory test orders and results. For example,…

What is SNOMED?

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SNOMED stands for Systematized Nomenclature of Medicine. SNOMED connects the various terminology, medical codes, synonyms, and definitions used among different electronic health records (EHR). For…

What do “source” and “standard” mean?

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SOURCE - electronic health record (EHR) data enters our system with terms and codes for conditions, drugs, and procedures using “source vocabularies”. Source vocabularies are…

What are vocabularies?

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A patient’s electronic health record (EHR) may contain medical information that means the same thing but may have been recorded in many different ways. For…

Why do the total counts in the Sex Assigned at Birth, Age, Sources, and Values graphs differ from the total participants count?

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One of the steps All of Us takes to protect participant privacy in the Data Browser is to round all participant counts to the nearest…

How does the Data Browser protect participant privacy?

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Participant privacy is protected in multiple ways. Personally identifiable information (PII) is any data that could potentially identify a specific individual. All PII, such as…

What resources are available for researchers interested in survey data?

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Participants in the All of Us Research Program respond to surveys spanning a variety of topics, including demographics, health care, and lifestyle. Each survey has…

What is All of Us doing to support COVID-19 research?

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All of Us supports three discrete activities to support COVID-19 research: COVID-19 Participant Experience (COPE) Survey Antibody Testing: All of Us is supporting antibody testing…

Benchmarking multi-ancestry prostate cancer polygenic risk scores in a real-world cohort

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Do researchers have to pay a licensing fee for SAS in the Researcher Workbench?

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SAS must be licensed for use, so many researchers are used to paying for this license. At this time, registered researchers do not need to…

Evaluating the use of blood pressure polygenic risk scores across race/ethnic background groups

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An ensemble penalized regression method for multi-ancestry polygenic risk prediction

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Privacy & Security Protocols

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Privacy & Security Protocols The All of Us Research Program uses high-quality security technology to help keep participant data safe. The data that participants give…

A machine learning model identifies patients in need of autoimmune disease testing using electronic health records

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Research Roundup 10/23

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Researcher Workshops and Public Input

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Researcher Workshops and Public Input The All of Us Research Program is collecting data with unprecedented depth and diversity. We are using many tools to…

Medical history predicts phenome-wide disease onset and enables the rapid response to emerging health threats

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Taking health information to the next level: Strategic partnerships between NLM and public libraries

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Research Roundup 6/23

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Register

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What tools will be available for me to analyze the data?

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The Researcher Workbench features several tools to support data analysis: Workspace: A workspace is the place to store and analyze data for a specific project.…

Policy on Stigmatizing Research

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Below are some key points from the policy on Stigmatizing Research. Data users should follow the full policy, available for download at the bottom of…

Data and Statistics Dissemination Policy

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Below are some key points from the All of Us Research Program Data and Statistics Dissemination Policy. Data users should follow the full policy, available…

Will the All of Us cohort offer a representative sample of U.S. citizens?

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No. The All of Us participant community will reflect the diversity of the United States, but cannot be described as a representative sample. Participants are…

How is the All of Us Research Program different from other longitudinal cohort studies?

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Unlike many research studies that focus on a specific disease or population, the All of Us Research Program will provide a national research resource to…

Deep learning of left atrial structure and function provides link to atrial fibrillation risk

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Secure Discovery of Genetic Relatives across Large-Scale and Distributed Genomic Datasets

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What is the purpose of the Data Browser?

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The Data Browser is an interactive tool that allows you to learn more about the data collected as part of the All of Us Research…

What are analysis files?

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Analysis files are where researchers can perform comprehensive analyses on cohorts and data sets using programming languages R, Python, or SAS.

Am I obligated to share any publications with the program?

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Yes. As a condition of your data access, you must inform the program of any upcoming publications resulting from access to All of Us Research…

What is the Resource Access Board (RAB)?

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The Resource Access Board (RAB) is charged with reviewing and auditing research projects to determine whether they may potentially stigmatize research participants or violate the…

Why is my research project information shared publicly?

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The All of Us Research Program is committed to being transparent with its research participants about the purpose of the research that uses their data.…

What information about me is displayed publicly and why?

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The Research Projects Directory will display your name, institution, and role. This information will be displayed along with the Research Purpose Description you provided for…

How do I access the research data?

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Accessing the Researcher Workbench data is easy and takes only a few steps. If you are interested in applying for Researcher Workbench access, please visit…

What COVID-19 data are available in the Researcher Workbench now?

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The All of Us Data Dictionary provides researchers with the most robust description of data elements available within the Researcher Workbench. Between May 2020 and…

Genetic determinants and phenotypic consequences of blood T-cell proportions in 207,000 diverse individuals

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Research Projects Directory

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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…

Polygenic risk alters the penetrance of monogenic kidney disease

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The frequency of pathogenic variation in the All of Us cohort reveals ancestry-driven disparities

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Demonstrating paths for unlocking the value of cloud genomics through cross cohort analysis

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