Michigan Genomics Initiative
The Michigan Genomics Initiative (MGI) is a collaborative research effort among physicians, researchers, and patients at Michigan Medicine.
Through this collaboration, we have developed a robust database that integrates extensive patient electronic health record (EHR) data with rich, detailed genetic information.
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MGI Data | How It Works | MGI Enrollment Studies
MGI Data
The MGI data repository combines patient electronic health record (EHR) data with corresponding genetic data from over 100,000 participants. This data is available to members of the Digital Health Innovation community, empowering our members to lead groundbreaking research that requires cutting-edge biomedical insights.
We are currently developing Whole Genome Sequencing (WGS). This advancement will provide a detailed and comprehensive map of an individual's genetic makeup, capturing all variations, including those in non-coding regions. This enriched portion of genetic information can drive forward precision medicine, advance scientific knowledge, and ultimately enhance patient care and health outcomes.
The data collected and stored by MGI is available to University of Michigan researchers who have received approval from the Institutional Review Board (IRB). If you are a researcher interested in using the MGI database, simply click the "Request MGI Data" button above to get started.
MGI Policies And Agreements
This policy establishes a framework for appropriate access to samples from and re-contacting research participants.
Policy on establishing an MGI partnership
This policy outlines the ways investigators may collaborate with Digital Health Innovation to contribute to MGI and/or leverating our genomic resources.
MGI Acknowledgement and Authorship Policy
This document outlines how MGI must be recognized in publications, grant applications, and presentations.
MGI Data sharing letter for journals
This document is a letter to journals for researchers that want to publish research performed on MGI data.
Summary Statistics Request Data Use Agreement
Researchers external to UM can request summary statistics from genetic analyses computed on the MGI cohort.
How It Works
Through an opt-in consent document, MGI participants agree to provide the study team with access to EHR data for clinical information and a biospecimen (usually a tube of blood or a vial of saliva). Prospective participants are provided a pamphlet during the consent process describing potential risks and benefits of the MGI study, how participant data will be used, and information on withdrawing from the study. Each MGI participant agrees that they may be re-contacted in the future for follow-up studies if they have a genotype or clinical condition of interest to investigators across the U-M research enterprise.
Biospecimens that are collected from participants are sent to the Central Biorepository for processing, and DNA is isolated from the biospecimens.
Featured MGI Enrollment Studies
Our MGI Data Collection Team works closely with researchers across the University of Michigan to expand and diversify our genetics data. . See the following enrollment studies that have helped us add to our growing MGI database.
Additional MGI Enrollment Studies
| Study Name | Principal Investigator | School/College |
|---|---|---|
| Michigan Predictive Activity & Clinical Trajectories (MiPACT) | Sachin Kheterpal, MD, MBA | Medical School |
| Mental Health BioBank (MHB2) | Vicki Ellingrod, PharmD; Srijan Sen, MD, PhD | School of Public Health / Medical School |
| Personalized Medicine through Integration of Immune Phenotypes in Autoimmune Skin Disease (PerMIPA) | Michelle Kahlenberg, MD, PhD | Medical School |
| ImPrec: Immune Precision in Solid Organ Transplantation (ImPrec) | Daniel Goldstein, MD | Medical School |
| Metabolism, Endocrinology & Diabetes (MEND) | Charles Burant, MD, PhD | School of Public Health |
| Biobank to Illuminate the Genomic Basis of pediatRic Disease (BIGBiRD) | Karl Desch, MD | Medical School |
| MichAnesthesiology Collection Effort | Chad Brummett, MD | Medical School |
| Michigan and You - Partnering to Advance Research Together (MY PART) | Brahmajee Nallamothu, MD | Medical School |
| Providing Mental Health Precision Treatment (PROMPT) | Amy Bohnert, PhD, MHS | Medical School |
| MIchigan Neurological Disorders PRecision health Objective (MIND PRO) | Peter Todd, MD, PhD | Medical School |
| Confirmatory DPYD Testing in MGI Subjects | Dan Hertz, PharmD, PhD | College of Pharmacy |
| Michigan eArly disease Progression cohort in COPD (MAP-COPD) | Meilan Han, MD, MS | Medical School |
| Dysplasia-Associated Arterial Disease Precision Health Network (DAAD) | Santhi Ganesh, MD | Medical School |
| Effect of Genetic Variants on Natural History and Treatment Response in Chronic Liver Disease | Vincent Chen, MD | Medical School |
| Uveitis/Intraocular Inflammatory Disease Biobank | Shilpa Kodati, MBBS | Medical School |
| Vaccine Access to Control Coronavirus Equitably, Systematically, and Swiftly (VACCESS) | Amanda Kowalski, PhD | LS&A |
| Non-Alcoholic Fatty Liver Disease (NAFLD) Biobank | Vincent Chen, MD | Michigan Medicine |
| Using novel statistical and machine learning methods to analyze data | Xiang Zhou PhD, Matt Zawistowski, PhD | School of Public Health |
| Differences in and Variability of Longitudinal Step Count by Age Sex and Covid-19 metrics | Aleda Leis, PhD | School of Public Health |
| Inflammatory Bowel Disease (IBD) Biobank | Peter Higgins, MD, PhD | Michigan Medicine |
The MY PART study aims to enroll individuals who reflect the diversity of the United States across various dimensions such as health status, age, gender identity, race, ethnicity, and geography.