Brock C Christensen, PhD
Associate Professor of Epidemiology
Associate Professor of Community and Family Medicine
Associate Professor of Molecular and Systems Biology
Community and Family Medicine
Molecular and Systems Biology
Harvard University, Ph.D. 2008
University of Wisconsin - Madison, B.S. 2002
Program in Experimental and Molecular Medicine
Quantitative Biomedical Sciences
Geisel School of Medicine at Dartmouth
660 Williamson Translation Research Building
Dartmouth Hitchcock Medical Center
Lebanon NH 03756
Office: 660 Williamson
Dr. Christensen's research is focused on combining advances in molecular biology, genomics and bioinformatics with the powerful techniques of modern epidemiology and statistics to characterize epigenetic states in human health and disease. His interests include understanding relationships between epigenetic states and exposures in the context of disease susceptibility, occurrence, and progression. By investigating complex interactions between the environment and somatic epigenetic alterations in target tissues, as well as epigenetic susceptibility traits in surrogate tissues, he hopes to develop their potential translational utility for diagnostic, prognostic, and/or treatment purposes.
PEMM103 Introductory Applied Biostatistics with R (Course director)
Dr. Christensen received his B.S. from the University of Wisconsin Madison in Medical Microbiology & Immunology and French in 2002, and his Ph.D. from the Program in Biological Sciences in Public Health at Harvard University in 2008. He trained as a postdoctoral research associate in molecular epidemiology of cancer at Brown University in the Department of Pathology and Laboratory Medicine. Dr. Christensen joined the faculty at Dartmouth in 2011 as an Assistant Professor in the Departments of Community and Family Medicine in the Section of Biostatistics and Epidemiology, and Pharmacology and Toxicology.
MethylNet: an automated and modular deep learning approach for DNA methylation analysis.
Prediagnostic breast milk DNA methylation alterations in women who develop breast cancer.
Microbial Communities in Human Milk Relate to Measures of Maternal Weight.
Genome-wide characterization of cytosine-specific 5-hydroxymethylation in normal breast tissue.
PyMethylProcess-convenient high-throughput preprocessing workflow for DNA methylation data.
Molecular and epigenetic profiles of BRCA1-like hormone-receptor-positive breast tumors identified with development and application of a copy-number-based classifier.
MicroRNA-Related Genetic Variants Associated with Survival of Head and Neck Squamous Cell Carcinoma.
An optimized library for reference-based deconvolution of whole-blood biospecimens assayed using the Illumina HumanMethylationEPIC BeadArray.
Cell-type deconvolution from DNA methylation: a review of recent applications.
Deconvolution of DNA methylation identifies differentially methylated gene regions on 1p36 across breast cancer subtypes.