Professional Summary
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. His current statistical methods research focuses on genome-wide association studies of diseases and disease-related traits. 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 is involved in genome-wide association consortia which seek to identify genetic variants that infleunce anthropometric traits, glucose and insulin levels, lipids levels, and blood pressure. He also leads a genome-wide association study of bipolar disorder and is involved in studies of glaucoma.
Courses Taught
BIOSTAT503: Introduction to Biostatistics
Syllabus (PDF)
Education
Ph.D., Biomathematics, UCLA, 1983
B.A., Mathematics, University of Oregon, 1977
Research Interests & 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
Integrated Parametric and Non-Parametric Mapping for Genome-Wide Association Data.
Molecular Genetics of Primary Open-Angle Glaucoma
Molecular Epidemiology of Colorectal Cancer
Selected Publications
Search PubMed for publications by Michael Boehnke >>
Li Y, Sidore C, Kang HM, Boennke M, and Abecasis GR (2011). Low-coverage sequencing: implications for design of complex trait association studies Genome Research, 21, 940-951.
Wu MC, Lee S, Cai T, Li Y, Boehnke M, and Lin X (July, 2011). Rare-variant association testing for sequencing data with the sequence kernel association test American Journal of Human Genetics, 82-93.
Xiao R and Boehnke M (April, 2011). Quantifying and correcting for the winner's curse in quantitative-trait association studies Genetic Epidemiology, 133-138.
Pruim RJ, Welch RP, Sanna S, Teslovich TM, Chines PS, Gliedt TP, Boehnke M, Abecasis GR, and Willer CJ (July, 2010). LocusZoom: regional visualization of genome-wide association scan results Bioinformatics, 2336-2337.
Teslovich TM, Musunuru K, Smith AV, Edmondson AC, Stylianou IM, ..., Schunkert H, Cupples LA, Sandhu MS, Ridker PM, Rader DJ, van Duijn CM, Peltonen L, Abecasis GR, Boehnke M, and Kathiresan S (2010). Biological, clinical, and population relevance of 95 loci mapped for serum lipid concentrations Nature
Rosenberg NA, Huang L, Jewett EM, Szpiech ZA, Jankovic I, and Boehnke M (May, 2010). Genome-wide association studies in diverse populations Nature Review Genetics, 356-366.
Voight BF, Scott LJ, Steinthorsdottir V, Morris AP, Dina C, Welch RP, ..., Altshuler D, Boehnke M, and McCarthy MI (2010). Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis. Nature Genetics, 42, 579-589.
Scott LJ, Muglia P, Kong XQ, Guan W, Flickinger M, Upmanyu R, Tozzi F, Li JZ, Burmeister M, Absher D, Thompson RC, Francks C, Meng F, Antoniades A, Southwick AM, Schatzberg AF, Bunney WE, Barchas JD, Jones EG, Day R, Matthews K, McGuffin P, Strauss JS, Kennedy JL, Middleton L, Roses AD, Watson SJ, Vincent JB, Myers RM, Farmer AE, Akil H, Burns DK, and Boehnke M (2009). Genome-wide association and meta-analysis of bipolar disorder in individuals of European ancestry. Proceedings of the National Academy of Sciences USA, 106, 7501-7506.
Xiao R and Boehnke M (2009). Quantifying and correcting for the winner's curse in genetic association studies. Genetic Epidemiology, 33, 453-462.
Zeggini E, Scott LJ, Saxena R, Voight BF, Marchini JL, Hu T, de Bakker PI, Abecasis GR, ..., McCarthy MI, Boehnke M, and Altshuler D (2008). Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes. Nature Genetics, 40, 638-645.
Professional Affiliations
American Society for Human Genetics
International Genetic Epidemiology Society
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