Maureen A. Sartor, Ph.D.
- Associate Professor, Computational Medicine and Bioinformatics, Medical School
- Associate Professor, Department of Biostatistics
- 100 Washtenaw Ave.
- 2017 Palmer Commons
- Ann Arbor, Michigan 48109-2218
Maureen A. Sartor is an Associate Professor in the Department of Computational Medicine and Bioinformatics, with a joint appointment in Biostatistics. She received her Ph.D. in Biostatistics in 2007 from the University of Cincinnati. Her research interests are in developing statistical and bioinformatics methods for analysis and interpretation of high throughput regulatory and epigenomics data. Her research focuses on cancer epigenomics, particularly oral squamous cell carcinomas. Early work focused on the analysis of microarray data. Recent work includes methods for analyzing ChIP-Seq data with replicates (PePr), functionally interpreting ChIP-seq results (ChIP-Enrich and Broad-Enrich), and testing for differentially methylated CpG sites from bisulfite sequencing data (methylSig).
- BIOSTAT646: High Throughput Molecular Genetic and Epigenetic Data Analysis Syllabus (PDF)
- Ph.D., Biostatistics, University of Cincinnati, 2007
- M.S., Biomathematics, North Carolina State University, 2000
- B.S., Mathematics, minors in Biology and Computer science, Xavier University, 1998
Research Interests & Projects
- Her research interests are in developing statistical and bioinformatics methods for analysis and interpretation of high throughput regulatory and epigenomics data. Her research focuses on cancer epigenomics, particularly oral squamous cell carcinomas. Early work focused on the analysis of microarray data. Recent work includes methods for analyzing ChIP-Seq data with replicates (PePr), functionally interpreting ChIP-seq results (ChIP-Enrich and Broad-Enrich), and testing for differentially methylated CpG sites from bisulfite sequencing data (methylSig).
- Cavalcante R, Lee C, Patil S, Weymouth TE, Welch RP, Scott LJ, Sartor MA. Broad-Enrich: functional interpretation of large sets of broad genomic regions. Bioinformatics. (ECCB special issue) 2014; 30(17):i393-i400.
- Zhang Y, Lin YH, Johnson TD, Rozek LS, Sartor MA. PePr: A peak-calling prioritization pipeline to identify consistent or differential peaks from replicated ChIP-Seq data. Bioinformatics. 2014; 30(18):2568-75.
- Welch RP*, Lee C*, Imbriano PM, Patil S, Weymouth TE, Smith RA, Scott LJ, Sartor MA. ChIP-Enrich: Gene set enrichment testing for ChIP-seq data. Nucleic Acids Res. 2014; 42(13):e105.
- Park Y, Figueroa ME, Rozek LS, Sartor MA. MethylSig: a whole genome DNA methylation analysis pipeline. Bioinformatics. 2014; 30(17):2414-22.
- Rozek LS, Dolinoy DC, Sartor MA, Omenn GS. Epigenetics: Relevance and Implications for Public Health. Annu. Rev. Public Health. 2014. 35:105-22.
- Kim JH, Karnovsky A, Mahavisno V, Weymouth T, Pande M, Dolinoy DC, Rozek LS, Sartor MA. LRpath analysis reveals common pathways dysregulated via DNA methylation across cancer types. BMC Genomics. 2012; 13(1):526.
- Sartor MA, Dolinoy DC, Jones TR, Colacino JA, Prince MEP, Carey TC, Rozek LS. Genome-wide methylation and expression differences in HPV(+) and HPV(-) squamous cell carcinoma cell lines are consistent with divergent mechanisms of carcinogenesis. Epigenetics. 2011; 6(6):777-87
- Sartor MA, Mahavisno V, Keshamouni VG, Cavalcoli J, Wright Z, Karnovsky A, Kuick R, Jagadish HV, Mirel B, Weymouth T, Athey B, Omenn GS. (2010). ConceptGen: a gene set enrichment and gene set relation mapping tool. Bioinformatics. 456-463.
- Sartor MA, Schnekenburger M, Marlowe JL, Reichard JF, Wang Y, Fan Y, Ma C, Karyala S, Halbleib D, Liu X, Medvedovic M, Puga A (2009). Genome-wide analysis of aryl hydrocarbon receptor binding targets reveals an extensive array of gene clusters that control morphogenetic and developmental programs Env Health Persp 1139-46.
- Wang XS, Prensner JR, Chen G, Cao Q, Han B, Dhanasekaran SM, Ponnala R, Cao X, Varambally S, Thomas DG, Giordano TJ, Beer DG, Palanisamy N, Sartor MA, Omenn GS, Chinnaiyan AM. (2009). An integrative approach to reveal driver gene fusions from paired-end sequencing data in cancer Nat Biotechnol.
- Sartor, M.A., Leikauf, G.D., Medvedovic, M. (2008). LRpath: A logistic regression approach for identifying enriched biological groups in gene expression data. Bioinformatics.
- Bakshi, S., Zhang, X., Godoy-Tundidor, S., Cheng, R.Y., Sartor, M.A., Medvedovic, M., Ho, S.M. (2008). Transcriptome analyses in normal prostate epithelial cells exposed to low-dose cadmium: oncogenic and immunomodulations involving the action of tumor necrosis factor Environmental Health Perspectives 769-76.
- Tam, N.N., Szeto, C.Y., Sartor, M.A., Medvedovic, M., Ho, S.M. (2008). Gene expression profiling identifies lobe-specific and common disruptions of multiple gene networks in testosterone-supported, 17beta-estradiol- or diethylstilbestorl-induced prostate dysplasia in Noble rats NeoPlasia 20-40.
- Hess-Wilson, J.K., Webb, S.L., Daly, H.K., Leung, Y., Bolidson, J., Comstock, C.E.S., Sartor, M.A., Ho, S., Knudsen, K.E. (2007). Unique bisphenol A transcriptome in prostate cancer: novel effects on ERbeta expression that correspond to androgen receptor mutation status. Environmental Health Perspectives 1646-1653.
- 2009-Present: Member, ISCB
- 2011-Present: Member, AACR