Dr. Mary Sehl is interested in mathematical and statistical modeling in translational cancer research. One focus is in aging and cancer, with work studying patterns and predictors of functional decline in older breast cancer survivors. Another interest is in stochastic modeling of cancer stem cell extinction and niche dynamics that can be applied to leukemias as well as solid tumors. Other projects involve implementing statistical methods to best analyze cumulative genetic effects and gene-gene interactions in patients at high risk for breast cancer.
Zhou H, Sehl ME, Sinsheimer JS, Lange K. Association screening of common and rare genetic variants by penalized regression. Bioinformatics. 2010 Oct 1;26(19):2375-82.
Sehl ME, Sinsheimer JS, Zhou H, Lange KL. Differential destruction of stem cells: implications for targeted cancer stem cell therapy. Cancer Res. 2009 Dec 15;69(24):9481-9.
Sehl ME, Langer LR, Papp JC, Kwan L, Seldon JL, Arellano G, Reiss J, Reed EF, Dandekar S, Korin Y, Sinsheimer JS, Zhang ZF, Ganz PA. Associations between single nucleotide polymorphisms in double-stranded DNA repair pathway genes and familial breast cancer. Clin Cancer Res. 2009 Mar 15;15(6):2192-203.
Sehl ME, Satariano WA, Ragland DR, Reuben DB, Naeim A. Attribution of functional limitation to cancer decreases in the year following breast cancer diagnosis in older patients. Crit Rev Oncol Hematol. 2009 Jul;71(1):62-9.
Crandall CJ, Sehl ME, Crawford SL, Gold EB, Habel LA, Butler LM, Sowers MR, Greendale GA, Sinsheimer JS. Sex steroid metabolism polymorphisms and mammographic density in pre- and early perimenopausal women. Breast Cancer Res. 2009;11(4):R51.