Advancing Monogenic Diabetes Research and Clinical Care by Creating a Data Commons: The Precision Diabetes Consortium (PREDICT)

Monogenic diabetes mellitus (MDM) is a group of relatively rare disorders caused by pathogenic variants in key genes that result in hyperglycemia. Lack of identified cases, along with absent data standards, and limited collaboration across institutions have hindered research progress. To address this, the UChicago Monogenic Diabetes Registry (UCMDMR) and UChicago Data for the Common Good (D4CG) created a national consortium of MDM research institutions called the PREcision DIabetes ConsorTium (PREDICT). Following the D4CG model, PREDICT has successfully established a multicenter MDM data commons. PREDICT has created a consensus data dictionary that will be utilized to address critical gaps in understanding of these rare types of diabetes. This approach may be useful for other rare conditions that would benefit from access to harmonized pooled data.

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Publication Details

Journal
Journal of Diabetes Science and Technology
Published
2025-01-09
DOI
https://doi.org/10.1177/19322968241310896
Citations
1
Primary Topic
Pancreatic function and diabetes
Type
article
Field-Weighted Citation Impact
2.01

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article

Advancing Monogenic Diabetes Research and Clinical Care by Creating a Data Commons: The Precision Diabetes Consortium (PREDICT)

Ott K, Siri Atma W. Greeley, Toni I. Pollin, Samuel L. Volchenboum et al.
1 citations
Journal of Diabetes Science and Technology
Pancreatic function and diabetes
2.01
article

Advancing Monogenic Diabetes Research and Clinical Care by Creating a Data Commons: The Precision Diabetes Consortium (PREDICT)

Ott K, Siri Atma W. Greeley, Toni I. Pollin, Samuel L. Volchenboum, David T. Broome, Erin Cobry, Michael T. Watkins, Raymond J. Kreienkamp, Rochelle N. Naylor, Brian Furner, Miriam S. Udler, Lisa R. Letourneau, Louis H. Philipson, Cyrus Desouza, Mustafa Tosur, Neda Rasouli, Suzi Birz, Liana K. Billings, Michael E. McCullough, Carmella Evans-Molina
article en
1 citations

Abstract

Monogenic diabetes mellitus (MDM) is a group of relatively rare disorders caused by pathogenic variants in key genes that result in hyperglycemia. Lack of identified cases, along with absent data standards, and limited collaboration across institutions have hindered research progress. To address this, the UChicago Monogenic Diabetes Registry (UCMDMR) and UChicago Data for the Common Good (D4CG) created a national consortium of MDM research institutions called the PREcision DIabetes ConsorTium (PREDICT). Following the D4CG model, PREDICT has successfully established a multicenter MDM data commons. PREDICT has created a consensus data dictionary that will be utilized to address critical gaps in understanding of these rare types of diabetes. This approach may be useful for other rare conditions that would benefit from access to harmonized pooled data.

Journal of Diabetes Science and Technology
University of Maryland, Baltimore (US), Boston Children's Hospital (US), Agricultural Research Service (US), United States Department of Agriculture (US), NorthShore University HealthSystem (US), Baylor College of Medicine (US), University of Michigan (US), University of Chicago (US), Massachusetts General Hospital (US), Texas Children's Hospital (US), Indiana University School of Medicine, University of Colorado Anschutz Medical Campus (US), Indiana University – Purdue University Indianapolis (US), University of Nebraska Medical Center (US)
Gray Foundation
Partnerships for the goals
Openalex Percentile: Top 20%
Pancreatic function and diabetes
2.01
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