Michigan Genomics Initiative
The Michigan Genomics Initiative (MGI) is a collaborative research effort among physicians, researchers, and patients at Michigan Medicine.
The MGI Community is an integral part of the MGI Initiative. Our community brings together like-minded researchers, interested in exploring the use of genetic data to improve health.
Jump to a Section:
About The MGI Community | MGI Data | Expanding Our Dataset | MGI Enrollment Studies
The MGI Genetic Data Community
Our growing community is open to all investigators interested in using genetic data to support their research.
The MGI Community at brings together U-M researchers from across the university who are interested in using genetic data to gain novel biomedical insights. We support each other in our endeavors and have a passion for unleasing the power of genetic research.
For more information, contact:
Sebastian Zoellner, PhD
Professor, Biostatistics Department
Professor, Psychiatry Department
Co-Director, AI & Digital Health Innovations
“The MGI Community is a great place to interact with U - M researchers who are interested in leveraging genetic data to advance digital health research. There is a wealth of knowledge, expertise, and a strong sense of community within the MGI Community – it’s really helped me as I think about my genetic research.”
Xiang Zhou, PhD
Professor, Biostatistics
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 all UM researchers, empowering researchers 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 below to get started.
MGI Policies And Agreements
Access, Use, and Distribution of MGI Data
This policy establishes a framework for appropriate access to samples from and re-contacting research participants.
Establishing a Michigan Genomics Partnership
This policy outlines the ways investigators may collaborate with AI & Digital Health Innovation to contribute to MGI and/or leverating our genomic resources.
“Through MGI I have access to a large cohort of Michigan Medicine patients with linkable treatment outcomes data and genome-wide genetics, and the ability to identify patients carrying particular genotypes to enroll in prospective studies. Everyone affiliated with University of Michigan with an interest in genetics should consider how they can leverage the unique MGI resources to conduct their research.”
Dan Hertz, PharmD, PhD
Associate Professor of Pharmacy
Expanding The Dataset
We are constantly adding to and diversifying our genomics data. Prospective participants are enrolled via a mobile application one of two ways: by clinical researchers after they have been admitted to the hospital for treatment or via recruiters who enroll participants outside the hospital. MGI participants provide a saliva or blood biospecimen and approve the study team to access their EHR data to match their health records with their DNA.
Biospecimens collected from participants are sent to UofM’s Central Biorepository for processing, and DNA is isolated from the biospecimens. The data is stored and made accessible through our MGI database.
For more information, contact:
Janet Houghtby, Team Lead, MGI Data Collection
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 | Michigan Medicine |
| 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 | Michigan Medicine |
| ImPrec: Immune Precision in Solid Organ Transplantation (ImPrec) | Daniel Goldstein, MD | Michigan Medicine |
| 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 | Michigan Medicine |
| General MGI Participant Collection | Chad Brummett, MD | Michigan Medicine |
| Michigan and You - Partnering to Advance Research Together (MY PART) | Brahmajee Nallamothu, MD | Michigan Medicine |
| Providing Mental Health Precision Treatment (PROMPT) | Amy Bohnert, PhD, MHS | Michigan Medicine |
| MIchigan Neurological Disorders PRecision health Objective (MIND PRO) | Peter Todd, MD, PhD | Michigan Medicine |
| Michigan eArly disease Progression cohort in COPD (MAP-COPD) | Meilan Han, MD, MS | Michigan Medicine |
| Dysplasia-Associated Arterial Disease Precision Health Network (DAAD) | Santhi Ganesh, MD | Michigan Medicine |
| Uveitis/Intraocular Inflammatory Disease Biobank | Shilpa Kodati, MBBS | Michigan Medicine |
| Non-Alcoholic Fatty Liver Disease (NAFLD) Biobank | Vincent Chen, MD | Michigan Medicine |
| 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.