Michael L. Boehnke
Affiliations: | University of Michigan, Ann Arbor, Ann Arbor, MI |
Area:
Biostatistics BiologyGoogle:
"Michael Boehnke"Children
Sign in to add trainee| Heather M. Stringham | grad student | 2000 | University of Michigan |
| Julie A. Douglas | grad student | 2001 | University of Michigan |
| Andrew D. Skol | grad student | 2006 | University of Michigan |
| Karen N. Conneely | grad student | 2008 | University of Michigan |
| Yun Li | grad student | 2009 | University of Michigan (Physics Tree) |
| Chaolong Wang | grad student | 2012 | University of Michigan |
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Publications
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| Koromina M, Ravi A, Panagiotaropoulou G, et al. (2024) Fine-mapping genomic loci refines bipolar disorder risk genes. Medrxiv : the Preprint Server For Health Sciences |
| Suzuki K, Hatzikotoulas K, Southam L, et al. (2024) Genetic drivers of heterogeneity in type 2 diabetes pathophysiology. Nature |
| Varshney A, Manickam N, Orchard P, et al. (2023) Population-scale skeletal muscle single-nucleus multi-omic profiling reveals extensive context specific genetic regulation. Biorxiv : the Preprint Server For Biology |
| Brotman SM, El-Sayed Moustafa JS, Guan L, et al. (2023) Adipose tissue eQTL meta-analysis reveals the contribution of allelic heterogeneity to gene expression regulation and cardiometabolic traits. Biorxiv : the Preprint Server For Biology |
| Lagou V, Jiang L, Ulrich A, et al. (2023) GWAS of random glucose in 476,326 individuals provide insights into diabetes pathophysiology, complications and treatment stratification. Nature Genetics. 55: 1448-1461 |
| Brotman SM, Oravilahti A, Rosen JD, et al. (2023) Cell-type composition affects adipose gene expression associations with cardiometabolic traits. Diabetes |
| Yin X, Li J, Bose D, et al. (2023) Metabolome-wide Mendelian randomization characterizes heterogeneous and shared causal effects of metabolites on human health. Medrxiv : the Preprint Server For Health Sciences |
| Graham SE, Clarke SL, Wu KH, et al. (2023) Author Correction: The power of genetic diversity in genome-wide association studies of lipids. Nature |
| Suzuki K, Hatzikotoulas K, Southam L, et al. (2023) Multi-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications. Medrxiv : the Preprint Server For Health Sciences |
| Costanzo MC, von Grotthuss M, Massung J, et al. (2023) The Type 2 Diabetes Knowledge Portal: An open access genetic resource dedicated to type 2 diabetes and related traits. Cell Metabolism |