Christina Kendziorski


Associate Professor

Department of Biostatistics and Medical Informatics
6729 Medical Sciences Center
1300 University Avenue
Madison, WI 53703
Email: kendzior@biostat.wisc.edu
Phone: (608) 262-3146

A department homepage is available.

My cv can be downloaded here.

Drop any files for me here.

Scientific Interests

Recent advances in DNA sequencing, genotyping, and gene expression profiling offer unprecedented opportunities for genetics and genomics based studies of complex disease. My research concerns the development and application of statistical methods to address questions arising in such studies. In particular, I have focused on methods for microarrays and expression quantitative trait loci (eQTL) mapping. My main areas of application are breast cancer and type 2 diabetes. Read more in the UWCCC newsroom .

Our recent work with Richard Anderson's lab has identified key genes involved in oxidative stress. Read more in the Wisconsin State Journal.

Working Group

  PhD Students:
      Ping Wang (PW website)
      YounJeong Choi (YC website)
      John Dawson

  Postdoc:
      Alina Andrei

  Past Members:
      Ming Yuan, Assistant Professor at Georgia Tech
      Meng Chen, Molecular Profiling Group, Pfizer

Publications

Bansal, N., N. Casper, C.M. Kendziorski, and G.G. Hamedani. A class of non-inverse Gaussian distributions with finite positive and negative moments. Journal of Applied Statistical Science, 4:2-3, 203-214, 1996.

Kendziorski, C.M., J.B. Bassingthwaighte, and P.J. Tonellato. Evaluating maximum likelihood estimation methods to determine the Hurst coefficient. Physica A, 273:3-4, 439-451, 1999.

Newton, M.A., C.M. Kendziorski, C.S. Richmond, F.R. Blattner, and K.W. Tsui. On differential variability of expression ratios: Improving statistical inference about gene expression changes from microarray data. Journal of Computational Biology, 8, 37-52, 2001.

Lan, H., C.M. Kendziorski, L.A. Shepel, J.D. Haag, M.A. Newton, and M.N. Gould. Genetic loci controlling breast cancer susceptibility in the Wistar-Kyoto rat. Genetics, 157, 331-339, 2001.

Kendziorski, C.M., A.W. Cowley, Jr., A.S. Greene, M. Stoll, H. Salgado, H.J. Jacob, and P.J. Tonellato. Mapping baroreceptor function to genome: A mathematical modeling approach. Genetics, 160: 1687-1695, 2002.

Ntambi, J.M., M. Miyazaki, J.P. Stoehr, H. Lan, C.M. Kendziorski, B.S. Yandell, Y. Song, P. Cohen, J.M. Friedman, and A.D. Attie. Loss of stearoyl-CoA desaturase-1 function protects mice against adiposity. Proceedings of the National Academy of Sciences, 99:17, 11482-11486, 2002.

Kendziorski, C.M., M.A. Newton, H. Lan, and M.N. Gould. On parametric empirical Bayes methods for comparing multiple groups using replicated gene expression profiles. Statistics in Medicine, 22:3899-3914, 2003. A slightly modified version is available as Technical Report # 166, Department of Biostatistics and Medical Informatics, University of Wisconsin - Madison. Download technical report in postscript or pdf.

Kendziorski, C.M., Y. Zhang, H. Lan, and A.D. Attie. The efficiency of mRNA pooling in microarray experiments. Biostatistics , 4: 465-477, 2003. Fast Breaking Paper of June 2005.

Djamali, A., C.M. Kendziorski, P.C. Brazy, B.N. Becker. Disease Progression and Outcomes in Chronic Kidney Disease and Renal Transplantation. Kidney International , 64(5): 1800-1807, 2003.

Attie, A. and C.M. Kendziorski. PGC-1alpha at the crossroads of type 2 diabetes. Nature Genetics , 34: 244-245, 2003.

The Complex Trait Consortium [113 authors]. The Collaborative Cross, a community resource for the genetic analysis of complex traits. Nature Genetics 36: 1133-1137,2004.

Holzmacher, R., C.Kendziorski, R.M. Hoffman, J.Jaffery, B.Becker, and A.Djamali. Low Serum Magnesium is Associated with Decreased Graft Survival in Patients with Chronic Cyclosporine Nephrotoxicity, Nephrology Dialysis Transplantation , 20(7): 1456-1462, 2005.

Kendziorski, C., R.A. Irizarry, K.Chen, J.D.Haag, and M.N. Gould. On the utility of pooling biological samples in microarray experiments. Proceedings of the National Academy of Sciences, 102(12): 4252-4257, 2005.

Minn, A.H., C.A. Pise-Masison, M. Radonovich, M.N. Brady, P. Wang, C. Kendziorski, and A. Shalev. Gene Expression Profiling in INS-1 Cells Overexpressing Thioredoxin-Interacting Protein. Biochemical and Biophysical Research Communications, 336(3): 770-778, 2005.

Burleigh, D.W., C.Kendziorski, Y.J. Choi, K.M. Grindle, R.L. Grendell, R.R. Magness, and T.G. Golos. Microarray Analysis of BeWo and JEG3 Trophoblast Cell Lines: Identification of Differentially Expressed Transcripts, Placenta, June 22, 2006 [E-pub ahead of print].

Lan, H.*, M. Chen*, J.E. Byers, B.S. Yandell, D.S. Stapleton, C.M. Mata, E. Ton-Keen Mui, M.T. Flowers, K.L. Schueler, K.F. Manly, R.W. Williams, C. Kendziorski, and A.D. Attie. Combined Expression Trait Correlations and Expression Quantitative Trait Locus Mapping, PLoS Genetics, 2(1):e6. *co-first authors.

Kendziorski, C., M. Chen, M. Yuan, H. Lan, and A.D. Attie. Statistical Methods for Expression Quantitative Trait Loci (eQTL) Mapping. Biometrics , 62, 19-27, 2006.

C. Kendziorski and P. Wang. A Review of Statistical Methods for Expression Quantitative Trait Loci Mapping. Mammalian Genome 17(6), 509-517, 2006.

M.Yuan and C.Kendziorski. A Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification. Biometrics 62(4): 1089-1098, 2006.

M.Yuan and C.Kendziorski. Hidden Markov Models for Microarray Time Course Data in Multiple Biological Conditions (with Discussion). Journal of the American Statistical Association 101(476): 1323-1332; Discussion 1332-1340, 2006.

Flowers, M.T., A. K. Groen, A.T. Oler, M.P. Gray-Keller, Y. Choi, K.L. Schueler, O.C. Richards, H. Lan, M. Miyazaki, F. Kuipers, C. Kendziorski, J. Ntambi, and A.D. Attie. Cholestasis and Hypercholesterolemia in SCD1-Deficient Mice Fed a Low-Fat, High-Carbohydrate Diet. Journal of Lipid Research 47: 2668-2680, 2006.

Edwards, M.G., R. Anderson, M. Yuan, C. Kendziorski, R. Weindruch, and T. Prolla. Gene Expression Profiling of Aging Reveals Activation of a p53-Mediated Transcriptional Program. BMC Genomics 8:80, 2007.

Amos-Landgraf, J.M.*, L.N. Kwong*, C. Kendziorski, M. Reichelderfer, J. Torrealba, J.P. Weichert, J.D. Haag, K.S. Chen, J.L. Waller, M.N. Gould, and W.F. Dove. A target-selected Apc-mutant rat kindred enhances the modeling of familial human colon cancer. Proceedings of the National Academy of Sciences 104(10): 4036-4041, 2007. *co-first authors.

Couto, F., A.H. Minn, C.A. Pise-Masison, M. Radonovich, J.N. Brady, M. Hanson, L.A. Fernandez, P. Wang, C. Kendziorski, and A. Shalev. Exenatide blocks JAK1-STAT1 in pancreatic beta cells. Metabolism: Clinical and Experimental, 56(7): 915-918, 2007.

Chen, D., P. Wang, R.L. Lewis, C.A. Daigh, C. Ho, X. Chen, J.A. Thomson, and C. Kendziorski. A Microarray Analysis of the Emergence of Embryonic Definitive Hematopoiesis. Experimental Hematology 35(9): 1344.e1-1344.e16, 2007.

Flowers, J.B., A.T. Oler, S.T. Nadler, Y.J. Choi, K.L. Schueler, B.S. Yandell, C. Kendziorski, and A.D. Attie. Abdominal obesity in BTBR male mice is associated with peripheral but not hepatic insulin resistance. American Journal of Physioliology Endocrinology and Metabolism 292(3):E936-945, 2007.

Wang H., D. Teske, A. Tess, R. Kohlhepp, Y.J. Choi, C. Kendziorski, and A.R. Moser. Identification of novel modifier loci of Apc Min affecting mammary tumor development. Cancer Research 67(23): 11226-11233, 2007.

Chen, M. and C. Kendziorski. A Statistical Framework for Expression Quantitative Trait Loci (eQTL) Mapping. Genetics, 177: 761-771, 2007. A highlighted paper.

Mellman,D.L., M.L. Gonzales, C.A. Barlow, P. Wang, C. Kendziorski, and R.A. Anderson. A Novel PI4, 5P2 Regulated Nuclear Poly(A) Polymerase Controls Expression of Select mRNAs. Nature, 451(7181): 1013-1017, 2008.

Flowers M.T., M.P. Keller, Y.J. Choi, H. Lan, C. Kendziorski, J.M. Ntambi, and A.D. Attie. Liver gene expression analysis reveals endoplasmic reticulum stress and metabolic dysfunction in SCD1-deficient mice fed a very low-fat diet. Physiological Genomics, 33(3): 361-372, 2008.

Keller, M.P., Y.J. Choi, P. Wang, D.B. Davis, M.E. Rabaglia, A.T. Oler, D.S. Stapleton, C. Argmann, K.L. Schueler, S. Edwards, H.A. Steinberg, E. Chaibub Neto, R. Kleinhanz, S. Turner, M.K. Hellerstein, E.E. Schadt, B. Yandell, C. Kendziorski, and A.D. Attie. A Gene Expression Network Model of Type II Diabetes Establishes a Relationship Between Cell Cycle Regulation in Islets and Diabetes Susceptibility. Genome Research, 18(5): 706-716, 2008.

Ferrara, C.T., P. Wang, E. Chaibub Neto, R.D. Stevens, J.R. Bain, B.R. Wenner, O.R. Ilkayeva, M.P. Keller, D.A. Blasiole, and C. Kendziorski. Genetic Networks of Liver Metabolism Revealed by Integration of Metabolic and Transcriptomic Profiling. PLoS Genetics, 4(3):e1000034, 2008.

Book Chapters, Discussion

Newton, M.A. and C. Kendziorski. Parametric Empirical Bayes Methods for Microarrays in The analysis of gene expression data: methods and software. Eds. G. Parmigiani, E.S. Garrett, R. Irizarry and S.L. Zeger, New York: Springer Verlag, 2003.

Kendziorski, C. A Discussion of ``Resampling-based multiple testing for microarray data analysis'' by Y.Ge, S.Dudoit, and T.P.Speed. Test: A Journal of the Spanish Society of Statistics and Operations Research, 12(1): 1-77, 2003.

Newton, M., P. Wang, and C. Kendziorski. Hierarchical Mixture Models for Expression Profiles. Bayesian Inference for Gene Expression and Proteomics. Eds. Kim-Anh Do, Peter Mueller, and Marina Vanucci. Cambridge University Press, 2006.

Chen, M. and C. Kendziorski. Interval Mapping for Expression Quantitative Trait Loci in Bayesian Inference for Gene Expression and Proteomics. Eds. Kim-Anh Do, Peter Mueller, and Marina Vanucci. Cambridge University Press, 2006.

Kendziorski, C. Pooling Biological Samples in Microarray Studies in DNA Microarrays and Related Genomics Techniques: Design, Analysis, and Interpretation of Experiments. Eds. D.B. Allison, G.Page, T.M. Beasley, J.W. Edwards, New York: Chapman and Hall, 2006.

Kendziorski, C.M. and M. Chen. An Overview of Statistical Approaches for Expression Trait Loci Mapping in Meta-Analysis and Combining Information in Genetics. Eds. Rudy Guerra and David Allison. Chapman and Hall, 2007.

Software

Identification of Differentially Expressed Genes: EBarrays is an R library containing functions to carry out an empirical Bayes analysis for identifying differentially expressed genes between two or among more than two conditions (detailed in Kendziorski et al., Statistics in Medicine , 2003. You can download the g-zipped version of EBarrays or from Bioconductor. Type demo(ebarrays) to see a demo of the package.

Expression QTL (eQTL) Mapping: R-code and information on our Mixture Over Markers (MOM) approach to eQTL mapping (detailed in Kendziorski et al., Biometrics, 2006) are available here.

Courses

Fall 2002, 2004, 2005, 2006: Stat 541 Introduction to Biostatistics

Spring 2003: Stat 992 Statistical Methods for Analysis of Microarray Data

Short Courses and Workshops

Summer 2003, 2006: Statistical Approaches to Analyzing Gene Expression Data. Promega. Madison, WI.

Fall 2003, 2004, 2006: Mathematical Approaches to Complex Traits. The Jackson Laboratory. Bar Harbor, ME.


Last Modified April 2007 by Christina Kendziorski