Michael L Boehnke
University of Michigan, MI·Mathematics & Statistics
Dr. Michael Boehnke's lab focuses on understanding the genetic underpinnings of type 2 diabetes (T2D) to help improve prediction, prevention, and treatment options for this prevalent disease.
- Fields
Mathematics & Statistics
- Topics
Type 2 Diabetes
Genomics
Genetic Variants
- Grants
- 1 known grant, through Dec 2026
What they work on
- Identify genetic variants influencing T2D risk.
- Analyze physiological mechanisms associated with T2D.
- Explore genetic factors impacting quantitative traits related to diabetes.
- Utilize iPSC-derived beta cells to study gene expression changes.
- Enhance data sharing and visualization for T2D research.
More about the research
Through extensive genetic research and collaboration, the team aims to identify specific genes and mechanisms that contribute to T2D risk and related health traits. Their work is crucial in addressing the public health crisis caused by the rising rates of diabetes globally.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Michael Bancks
Wake Forest University, NC·Public Health & Epidemiology
Assemble and harmonize clinical, genetic, metabolomic, social determinants of health, and outcome data from 10 US cohorts totaling 55,766 people, using the team's computational methods for estimating missing data.
Joon Ha
Howard University, DC·Mathematics & Statistics
Identify a slow manifold, a boundary within a physiological model of beta-cell function and insulin sensitivity, that separates progression to type 2 diabetes from staying healthy.
Mary Rooney
Johns Hopkins University, MD·Public Health & Epidemiology·Early-career
Derive and validate prediabetes subtypes from cardiometabolic risk factors such as adiposity, liver function and lipids, using machine-learning clustering in multiple US cardiovascular cohorts.
The school
University of Michigan: 124 labs on PI Pages, $2.1B a year on research, 963 research doctorates a year.
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