Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Epidemiologic Questionnaire (EPI-Q) - a scalable, app-based health survey linked to electronic health record and genotype data.

Epidemiology and health - 1 Jan 2023

Salvatore Maxwell, Clark-Boucher Dylan, Fritsche Lars G, Ortlieb Jacob, Houghtby Janet, Driscoll Anisa, Caldwell-Larkins Bryanne, Smith Jennifer A, Brummett Chad M, Kheterpal Sachin, Lisabeth Lynda, Mukherjee Bhramar

Abstract excerpt

The Epidemiologic Questionnaire (EPI-Q) was established to collect broad, uniform, self-reported health data to supplement electronic health record (EHR) and genotype information from participants in the University of Michigan (UM) Precision Health cohorts. Recruitment of EPI-Q participants, who were already enrolled in 1 of 3 ongoing UM Precision Health cohorts-the Michigan Genomics Initiative, Mental Health...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Electronic Health Records
Share to Genotype

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Health Surveys

Share to Surveys and Questionnaires

Source

Open in PubMed Open full text

Identifiers

PMID: 37591787
DOI: 10.4178/epih.e2023074
PMCID: PMC10867525

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Epidemiologic Questionnaire (EPI-Q) - a scalable, app-based health survey linked to electronic health record and genotype data.PMID 37591787Read ↗

Harmonized US National Health and Nutrition Examination Survey 1988-2018 for high throughput exposome-health discoverySemantic proximity Read ↗

Phenome-Wide Association Study of Pre-Cancer Diagnosis Electronic Health Records Identifies Risk and Inverse Associations in the All of Us Research ProgramSemantic proximity Read ↗

The Taiwan Precision Medicine Initiative: A Cohort for Large-Scale StudiesSemantic proximity Read ↗

The Survey of the Health of Wisconsin (SHOW) Program: An infrastructure for Advancing Population Health SciencesSemantic proximity Read ↗

The <i>All of Us</i> Research Program: data quality, utility, and diversitySemantic proximity Read ↗

The Geisinger MyCode community health initiative: an electronic health record-linked biobank for precision medicine research.Semantic proximity Read ↗

Menopause in the All of Us Research Program: A Descriptive Summary of Electronic Health Record and Survey Response across Sociodemographic CharacteristicsSemantic proximity Read ↗

Comparison of Population Characteristics in Real-World Clinical Oncology Databases in the US: Flatiron Health-Foundation Medicine Clinico-Genomic Databases, Flatiron Health Research Databases, and the National Cancer Institute SEER Population-Based Cancer RegistrySemantic proximity Read ↗

Re-contacting biobank participants: lessons from a pilot study within FinnGenSemantic proximity Read ↗

The Electronic Medical Records and Genomics study: Design and analytic framework for assessing the impact of genome-informed risk assessments.Semantic proximity Read ↗

Building a Vertically-Integrated Genomic Learning Health System: The Colorado Center for Personalized Medicine BiobankSemantic proximity Read ↗

Cohort Profile: Extended Cohort for E-health, Environment and DNA (EXCEED)Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.