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Michael Boehnke

Researcher at University of Michigan

Publications -  540
Citations -  155551

Michael Boehnke is an academic researcher from University of Michigan. The author has contributed to research in topics: Genome-wide association study & Type 2 diabetes. The author has an hindex of 152, co-authored 511 publications receiving 136681 citations. Previous affiliations of Michael Boehnke include SUNY Downstate Medical Center & Norwegian University of Science and Technology.

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Journal ArticleDOI

Synergism of mutant frequencies in the mouse lymphoma cell mutagenicity assay by binary mixtures of methyl methanesulfonate and ethyl methanesulfonate.

TL;DR: Statistical analyses provide strong evidence of synergism (within the limits of the assay) for total and small-colony mutants at all doses of EMS tested, and for large-colonies mutants above 400 micrograms/ml EMS.
Posted ContentDOI

Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body fat distribution

Anne E. Justice, +278 more
- 30 Jun 2018 - 
TL;DR: By examining variants often poorly tagged or entirely missed by genome-wide association studies, novel genes in fat distribution are implicate, stressing the importance of interrogating low-frequency and protein-coding variants.
Posted ContentDOI

Genetic analysis of over one million people identifies 535 novel loci for blood pressure

Evangelos Evangelou, +315 more
- 11 Oct 2017 - 
TL;DR: This work identifies 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also reveal shared loci influencing lifestyle exposures that offer the potential for a precision medicine strategy for future cardiovascular disease prevention.
DatasetDOI

Supplementary Material 3

Joshua C. Randall, +263 more
TL;DR: In this article, the sum of cells within 5° latitudinal bins for all model classes, binary thresholds and climate scenarios was calculated. But the number of cells in each bin was not included.
Journal ArticleDOI

Association of lipid profile biomarkers with breast cancer by molecular subtype: analysis of the MEND study

Anjali Gupta, +98 more
TL;DR: In this paper , the association of lipid biomarkers (total cholesterol, high-density lipoprotein (HDL), low-density lipid (LDL), and triglycerides) with increased risk of breast cancer in African women was examined.