Kimberly Siegmund, PhD
Professor of Population and Public Health Sciences
Health Equity Interests
I try to understand the behavior of cancer cells and how cancers grow.
Dr. Siegmund is a biostatistician with expertise in cancer modeling and the statistical analysis of epigenetic data in human disease. She has published numerous papers studying DNA methylation, and teaches a course on the statistical analysis of high-dimensional data. Her current research focuses on developing mathematical models to understand the growth and spread of cancer. These models address fundamental questions about aging through modeling cell division processes from a molecular phylogenetic approach.
Dr. Siegmund is interested the analysis of DNA methylation and gene expression data. She is developing mathematical models that will allow the identification of disease sub-types based on DNA methylation profiles. Other interests and skills relate to the design and analysis of family studies for gene characterization.
- Population Characteristics
- Molecular Epidemiology
- Cancer Epidemiology
- Statistical Methods
A Novel DNA Methylation Signature as an Independent Prognostic Factor in Muscle-Invasive Bladder Cancer.
Front Oncol. 2021;11:614927. doi: 10.3389/fonc.2021.614927. Epub 2021 Feb 15. PubMed PMID: 33659216; PubMed Central PMCID: PMC7917237.
The genome-wide impact of trisomy 21 on DNA methylation and its implications for hematopoiesis.
Nat Commun. 2021 Feb 5;12(1):821. doi: 10.1038/s41467-021-21064-z. Epub 2021 Feb 5. PubMed PMID: 33547282; PubMed Central PMCID: PMC7865055.
Functional human genes typically exhibit epigenetic conservation.
PLoS One. 2021;16(9):e0253250. doi: 10.1371/journal.pone.0253250. Epub 2021 Sep 14. PubMed PMID: 34520456; PubMed Central PMCID: PMC8439480.
A novel role for vaping in mitochondrial gene dysregulation and inflammation fundamental to disease development.
Sci Rep. 2021 Nov 23;11(1):22773. doi: 10.1038/s41598-021-01965-1. Epub 2021 Nov 23. PubMed PMID: 34815430; PubMed Central PMCID: PMC8611078.
Comprehensive epigenomic profiling of human alveolar epithelial differentiation identifies key epigenetic states and transcription factor co-regulatory networks for maintenance of distal lung identity.
BMC Genomics. 2021 Dec 18;22(1):906. doi: 10.1186/s12864-021-08152-6. Epub 2021 Dec 18. PubMed PMID: 34922464; PubMed Central PMCID: PMC8684104.
- Seminar in Biostatistics and Epidemiology
- Statistical Analysis of High-Dimensional Data
- Systematic Review and Meta-Analysis
- Summer Institute in Biostatistics