Michigan Genomics Initiative
The Michigan Genomics Initiative (MGI) is a collaborative research effort among physicians, researchers, and patients at Michigan Medicine.
MGI unites U-M physicians, researchers and patients under the goal of combining patient EHR data with corresponding genetic data in order to gain novel biomedical insights.
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MGI Data | Encore Genetic Data Analysis Tool | Expanding Our Dataset | MGI Enrollment Studies
MGI Data
The MGI data repository combines patient electronic health record (EHR) data with corresponding genetic data from over 89,000 participants across 15 unique studies. These data are available to all University of Michigan researchers, empowering researchers to lead groundbreaking research that requires cutting-edge biomedical insights.
We are currently generating Whole Genome Sequences (WGS) for the MGI cohort. 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.
To aid in the exploration of the highly dimensional genotype and EHR data, we provide the MGI PheWeb which visualizes pre-computed genome wide association studies (GWAS) for 1,728 phenotypes. The PheWeb is an online interface where GWAS and phenome wide association study (PheWAS) results can be explored through interactive plots. Results can be searched by phenotype, genetic variant, or gene name to explore the associations between 52 million imputed genetic variants and 1,728 phenotypes.
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.
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.
Researchers external to UM can request summary statistics from genetic analyses computed in the MGI cohort.
“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
Encore Genetic Data Analysis Tool
Encore is a self-serve, web-based analysis tool for running genome-wide associate studies (GWAS). Researchers can run GWAS in a point-and-click interface without the need to directly manipulate or “touch” the genetic data.
For more information, contact:
Cinzia Smothers, Director,
AI & Digital Health Data Solutions and
Research Implementation
“Encore was the perfect product to help me analyze the genetic data I’ve been working on. I was amazed to find such a great product to be free to use!”
Nick Douville
Assistant Professor of Anesthesiology and Program Director, Anesthesiology
Michigan Medical School
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 (Michigan and You Partnering to Advance Research Together) study at Michigan Medicine aims to enroll participants in the Michigan Genomics Initiative from a wide range of backgrounds, ensuring representation across different health and disease statuses.