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Michael Olivier, Ph.D.
Phone: (414) 456-4968 
Lab website: http://hmgc.mcw.edu/laboratories/olivier/olivierlabpage.asp
Email: molivier@mcw.edu
M.S. Chemistry, University of Cologne, Germany, 1993
Ph.D. Physiology, Cornell University, 1998
Research areas: Genetics & Genomics

Almost all common human disorders, such as obesity, hypertension, or diabetes, are caused by a combination of genetic susceptibility factors and environmental, i.e. non-genetic contributions, such as lifestyle. This makes the comprehensive analysis of these disorders difficult since individuals could develop the disorder because of a genetic susceptibility or an unhealthy lifestyle. To further complicate this analysis, the exact number of genes involved in the disease susceptibility is usually unknown. With the completion of the sequence of the human genome, new genetic tools and knowledge about the genome are now available that promise to accelerate our ability to identify genetic risk genes for these common disorders.

Our laboratory focuses on the study of single nucleotide polymorphisms (SNPs), and how this genetic sequence variation affects gene function and ultimately human disease susceptibility. For our studies, we routinely genotype these SNPs in a large number of individuals to understand patterns of linkage disequilibrium and haplotypes across extended regions of the human genome, and then correlate SNPs and haplotypes with gene expression and protein levels, and analyze potential associations with complex human disorders. Our research efforts focus primarily on two human disorders. Our major research effort is geared towards the analysis of the Metabolic Syndrome in humans, a disorder characterized by obesity, insulin resistance, dyslipidemia, and hypertension. In addition, we have begun to investigate the genetics of Down syndrome, in particular the increased leukemia risk in individuals with trisomy 21.

In order to improve on existing abilities to study these disorders, a significant portion of our efforts is focused on technology and methods development. We have developed novel SNP genotyping approaches, computational tools to analyze and visualize genetic variation, and data management tools for association studies. We have also established real-time assays to quantify mRNA expression for individual genes. Our laboratory is part of the National Center for Proteomics Research at MCW, a NIH-funded effort to develop novel mass spectrometry tools for the comprehensive analysis and quantification of cellular proteomes. Here, we are improving the sensitivity of the instruments to allow the accurate analysis of small samples, and are establishing protocols for the quantitative analysis of cellular proteomes and posttranslational modifications. Hopefully, the application of novel and improved technologies in genomics and proteomics will further advance our understanding of complex human disorders and facilitate the translation of research discoveries into improved treatment options of patients.  

Recent Publications:
Hicks WA, Halligan BD, Slyper RY, Twigger SN, Greene AS, Olivier M. Simultaneous quantification and identification using 18 O labeling with an ion trap mass spectrometer and the analysis software application "ZoomQuant." J Am Soc Mass Spectrom. 2005 Jun;16(6):916-25.

Olivier M. The Invader assay for SNP genotyping. Mutat Res. 2005 Jun 3;573(1-2):103-10. Review.

Chen Y, Shortreed MR, Olivier M, Smith LM. Parallel single nucleotide polymorphism genotyping by surface invasive cleavage with universal detection. Anal Chem. 2005 Apr 15;77(8):2400-5.

Halligan BD, Slyper RY, Twigger SN, Hicks W, Olivier M, Greene AS. ZoomQuant: an application for the quantitation of stable isotope labeled peptides. J Am Soc Mass Spectrom. 2005 Mar;16(3):302-6.

Baessler A, Hasinoff MJ, Fischer M, Reinhard W, Sonnenberg GE, Olivier M, Erdmann J, Schunkert H, Doering A, Jacob HJ, Comuzzie AG, Kissebah AH, Kwitek AE. Genetic linkage and association of the growth hormone secretagogue receptor (ghrelin receptor) gene in human obesity. Diabetes. 2005 Jan;54(1):259-67.


Faculty Collaboration Database - Michael Olivier, PhD

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