Dean Billheimer

Dean Billheimer

Professor, Public Health
Director, Statistical Consulting
Professor, Statistics-GIDP
Professor, BIO5 Institute
Member of the General Faculty
Member of the Graduate Faculty
Primary Department
Contact
(520) 626-9902

Work Summary

My research develops new clinical trial and experimental study designs to allow 'learning from data' more efficiently. My research also develops new analysis methods to understand latent structure in data. This allows better understanding of disease processes, better targeting of existing treatments, and development of more effective new treatments. Finally, I am developing new statistical methods based on prediction of future events.

Research Interest

Dean Billheimer, PhD, works with the Arizona Statistics Consulting Laboratory (StatLab) to partner with scientists and physicians to advance discovery and understanding. The 'Stat Lab' provides statistical expertise, personnel and computing resources to facilitate study design and conduct, data acquisition protocols, data analysis, and the preparation of grants and manuscripts. Dr. Billheimer also works to adapt and develop new statistical methods to address emerging problems in science and medicine. Dr. Billheimer facilitates discovery translation and economic development by consulting with public and private organizations external to the University of Arizona. Keywords: Biostatistics, Bioinformatics, Study Design, Bayesian Analysis

Publications

Lafleur, B., Lee, W., Billheimer, D., Lockhart, C., Liu, J., & Merchant, N. (2011). Statistical methods for assays with limits of detection: Serum bile acid as a differentiator between patients with normal colons, adenomas, and colore. J Carcinog, 10, 12.
Sanders, M. E., Dias, E. C., Xu, B. J., Mobley, J. A., Billheimer, D., Roder, H., Grigorieva, J., Dowsett, M., Arteaga, C. L., & Caprioli, R. M. (2008). Differentiating Proteomic Biomarkers in Breast Cancer by Laser Capture Microdissection and MALDI MS. Journal of Proteome Research, 7(4), 1500-1507.

PMID: 18386930;PMCID: PMC2738605;Abstract:

We assessed proteomic patterns in breast cancer using MALDI MS and laser capture microdissected cells. Protein and peptide expression in invasive mammary carcinoma versus normal mammary epithelium and estrogen-receptor positive versus estrogen-receptor negative tumors were compared. Biomarker candidates were identified by statistical analysis and classifiers were developed and validated in blinded test sets. Several of the mlz features used in the classifiers were identified by LC-MS/MS and two were confirmed by immunohistochemistry. © 2008 American Chemical Society.

Gomez-Rubio, P., Gomez-Rubio, P., Klimentidis, Y., Klimentidis, Y., Cantu-Soto, E., Cantu-Soto, E., Meza-Montenegro, M., Meza-Montenegro, M., Billheimer, D., Billheimer, D., Lu, Z., Lu, Z., Chen, Z., Chen, Z., Klimecki, W., & Klimecki, W. (2012). Indigenous American Ancestry is Associated with Arsenic Methylation Efficiency in an Admixed Population of Northwest Mexico. J Toxicol Environ Health A, 75(1), 36-49.
BIO5 Collaborators
Dean Billheimer, Walter Klimecki
Jacquemin, J., Ammiraju, J. S., Haberer, G., Billheimer, D. D., Yu, Y., Liu, L. C., Rivera, L. F., Mayer, K., Chen, M., & Wing, R. A. (2013). Fifteen Million Years of Evolution in the Oryza Genus Shows Extensive Gene Family Expansion. Molecular plant.

In analyzing gene families in the whole-genome sequences available for O. sativa (AA), O. glaberrima (AA), and O. brachyantha (FF), we observed large size expansions in the AA genomes compared to FF genomes for the super-families F-box and NB-ARC, and five additional families: the Aspartic proteases, BTB/POZ proteins (BTB), Glutaredoxins, Trypsin α-amylase inhibitor proteins, and Zf-Dof proteins. Their evolutionary dynamic was investigated to understand how and why such important size variations are observed between these closely related species. We show that expansions resulted from both amplification, largely by tandem duplications, and contraction by gene losses. For the F-box and NB-ARC gene families, the genes conserved in all species were under strong purifying selection while expanded orthologous genes were under more relaxed purifying selection. In F-box, NB-ARC, and BTB, the expanded groups were enriched in genes with little evidence of expression, in comparison with conserved groups. We also detected 87 loci under positive selection in the expanded groups. These results show that most of the duplicated copies in the expanded groups evolve neutrally after duplication because of functional redundancy but a fraction of these genes were preserved following neofunctionalization. Hence, the lineage-specific expansions observed between Oryza species were partly driven by directional selection.

Hanusch, K., Janssen, C. H., Billheimer, D., Jenkins, I., Spurgeon, E., Lowry, C. A., & Raison, C. L. (2013). Whole-body hyperthermia for the treatment of major depression: Associations with thermoregulatory cooling. American Journal of Psychiatry, 170(7), 802-804.