Rochester, Minnesota




Jeanette E. Eckel-Passow, Ph.D., develops and evaluates statistical methods for genome-wide omics data. This includes experimental design, normalization and statistical analysis methods for mRNA expression microarrays, protein mass spectrometry, copy number variation, and RNA and DNA sequencing.

Dr. Eckel-Passow has extensive statistical consulting experience in both clinical and basic science research. Her primary focus is the identification of molecular biomarkers for brain and kidney cancer.

Dr. Eckel-Passow is the biostatistics core director for the Mayo Clinic Brain Cancer Specialized Program of Research Excellence (SPORE) grant. She is also a principal investigator on an R21 grant from the National Institutes of Health to evaluate the genomics of progression to metastasis in clear cell renal cell carcinoma.

Focus areas

  • Statistical methodology for genome-wide omics data.
  • Glioma risk. Dr. Eckel-Passow collaborates with Robert B. Jenkins, M.D., Ph.D., to subtype gliomas based on acquired genetic alterations and to identify germline risk variants stratified by molecular subtype.
  • Prognostic biomarkers for clear cell renal cell carcinoma. Dr. Eckel-Passow collaborates with Alexander S. Parker, Ph.D., to identify prognostic biomarkers for clear cell renal cell carcinoma. The objective is to develop a multivariable model that stratifies patients according to their risk level.
  • Metastatic clear cell renal cell carcinoma. Dr. Eckel-Passow studies the molecular mechanisms that drive metastatic progression.

Significance to patient care

Dr. Eckel-Passow's goal is to provide experimental design guidance and statistical analysis methods to advance cancer research at Mayo Clinic.


See my publications


Primary Appointment

  1. Consultant, Division of Biomedical Statistics and Informatics, Department of Health Sciences Research
  2. Section Head, Computational Genomics, Department of Health Sciences Research

Academic Rank

  1. Professor of Biostatistics


  1. Postdoctoral Research Fellowship - Cancer Genetic Epidemiology Fellowship (Mentor: Terry Therneau, Ph.D.) Topic: Experimental Design and Analysis of High-Dimensional Biological Data Mayo School of Graduate Medical Education, Mayo Clinic College of Medicine
  2. PhD - Biostatistics (Advisors: Chris Gennings, Ph.D. & Vernon Chinchilli, Ph.D.) Topic: Statistical Analysis of Time-Course and Dose-Response Microarray Experiments Virginia Commonwealth University
  3. BS - Statistics, Mathematics Winona State University

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