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Michael Boehnke

Michael Boehnke, Ph.D.

Richard G. Cornell Collegiate Professor of Biostatistics

M4108 SPH II
1420 Washington Heights
Ann Arbor, Michigan 48109-2029

Office: (734) 936-1001; Fax: (734) 615-8322

E-mail: boehnke@umich.edu

Curriculum Vitae (PDF, 78,047 KB)

Professional Summary

Michael Boehnke is the Richard G. Cornell Collegiate Professor of Biostatistics and Director of the University of Michigan Center for Statistical Genetics and Genome Science Training Program. He received his Ph.D. in Biomathematics from UCLA in 1983 and joined the faculty in Biostatistics at Michigan in 1984. Dr. Boehnke's research focuses on problems of study design and statistical analysis of human genetic data, with a particular emphasis on development and application of statistical methods for human gene mapping. He is principal investigator of the Finland-United States Investigation of NIDDM Genetics (FUSION) Study, which seeks to identify genetic variants that predispose to type 2 diabetes. He also is active in studies of the genetics of schizophrenia, bipolar disorder, glaucoma, and several other eye diseases.

Courses Taught

BIOSTAT666: Statistical Models and Numerical Methods in Human Genetics    Syllabus (PDF)

Education

Ph.D., Biomathematics, UCLA, 1983
B.A., Mathematics, University of Oregon, 1977

Research Interest & Projects

Design and Analysis of Human Gene Mapping
Studies Identifying Genes for Type 2 Diabetes: FUSION
Pritzker Neuropsychiatric Disorders Research Consortium
Targeted Genetics Analysis of T2D and Quantitative Traits
Genomic Analysis of Schizophrenia
Molecular Genetics of Primary Open-Angle Glaucoma
Molecular Epidemiology of Colorectal Cancer
National Center for Integrative Biomedical Informatics

Selected Publications

Willer C. J., Scott L. J., Bonnycastle L. L., Jackson A. U., Chines P., Pruim R., Bark C. W., Tsai Y. Y., Pugh E. W., Doheny K. F., Kinnunen L., Mohlke K. L., Valle T. T., Bergman R. N., Tuomilehto J., Collins F. S., Boehnke M. (2006). Tag SNP selection for Finnish individuals based on the CEPH Utah HapMap database. Genetic Epidemiology, 30, 180-190.

Skol A. D., Scott L. J., Abecasis G. R., Boehnke M. (2006). Joint analysis is more efficient for whole genome association studies. Nature Genetics, 38, 209-213.

Li M., Boehnke M., and Abecasis G. R. (2005). Joint modeling of linkage and association: identifying SNPs responsible for a linkage signal. American Journal of Human Genetics, 76, 934-949.

Hauser E. R., Watanabe R. M., Duren W. L., Bass M. P., Langefeld C. D., and Boehnke M. (2004). Ordered subset analysis in genetic linkage mapping of complex traits. Genetic Epidemiology, 27, 53-63.

HSilander K., Mohlke K. L., Scott L. J., Peck E. C., Hollstein P., Skol A D., Deloukas P., ... ,Boehnke M., and Collins F. S. (2004). Genetic variation near the Hepatocye Nuclear Factor-4 Alpha gene predicts susceptibility to type 2 diabetes. Diabetes, 53, 1141-1149.

Silander K., Scott L.J., Valle T.T., Mohlke K.L., Stringham H.M., ..., Collins F.S., and Boehnke M. (2004). A large set of Finnish affected sibling pair families with type 2 diabetes suggests susceptibility loci on chromosomes 6, 11, and 14 Diabetes, 53, 821-829.

Professional Affiliations

American Society for Human Genetics
American Statistical Association
Biometric Society
International Genetic Epidemiology Society

Additional Information

Director, Center for Statistical Genetics
http://csg.sph.umich.edu/

Director, Genome Science Training Program
http://csg.sph.umich.edu//training/