Symposium Speaker: Fred Schumacher, PhD

Dr. Fred Schumacher is Associate Professor in the Department of Population and Quantitative Health Sciences and Faculty in the Cleveland Institute for Computational Biology, both at Case Western Reserve University.  Dr. Schumacher is also Co-Leader of the Cancer Prevention Control & Population Research Program as part of the Case Comprehensive Cancer Center. His primary research focus is on cancer, particularly prostate cancer. As an investigator and leader in several major international consortium, Dr. Schumacher has

  • Identified multiple novel genomic regions associated with prostate, testicular and breast cancer, representing discoveries based on incorporating genome-wide association studies (GWAS) with cancer epidemiology
  • Expanded the use of GWAS through combined studies of varying design, providing the power to evaluate candidate gene pathways, incorporate related biomarkers, and assess cancer sub-types
  • Explored the potential biological overlap of complex traits and conditions (such as diabetes) with cancer, providing a better understanding of the cancer initiation process and highlighting several areas for potential disease risk reduction.
  • Developed and implemented polygenic risk scores to improve screening modalities and treatment paradigms

 

Recent Publications

  1. Schumacher, FR, Basourakos, SP, Lewicki, PJ, Vince, R, Spratt, DE, Barbieri, CE, Shoag, JE. Race and Genetic Alterations in Prostate Cancer. JCO Precis Oncol 2021; 5 : . PubMed PMID:34746633 PubMed Central PMC8563071.
  2. Zhang, J, Schumacher, FR. Evaluating the estimation of genetic correlation and heritability using summary statistics. Mol Genet Genomics 2021; 296 (6): 1221-1234. PubMed PMID:34586498 PubMed Central PMC8550643.
  3. Woo, C, Cioffi, GN, Bej, TA, Wilson, B, Briggs, JM, Markt, SC, Schumacher, FR, Kruchko, C, Waite, KA, Nabors, LB et al.. Data Matching to Support Analysis of Cancer Epidemiology Among Veterans Compared With Non-Veteran Populations-An Exemplar in Brain Tumors. JCO Clin Cancer Inform 2021; 5 : 985-994. PubMed PMID:34554825 .
  4. Chen, H, Majumdar, A, Wang, L, Kar, S, Brown, KM, Feng, H, Turman, C, Dennis, J, Easton, D, Michailidou, K et al.. Large-scale cross-cancer fine-mapping of the 5p15.33 region reveals multiple independent signals. HGG Adv 2021; 2 (3): . PubMed PMID:34355204 PubMed Central PMC8336922.
  5. Davies, CW, Vidal, SE, Phu, L, Sudhamsu, J, Hinkle, TB, Chan Rosenberg, S, Schumacher, FR, Zeng, YJ, Schwerdtfeger, C, Peterson, AS et al.. Antibody toolkit reveals N-terminally ubiquitinated substrates of UBE2W. Nat Commun 2021; 12 (1): 4608. PubMed PMID:34326324 PubMed Central PMC8322077.
  6. Huyghe, JR, Harrison, TA, Bien, SA, Hampel, H, Figueiredo, JC, Schmit, SL, Conti, DV, Chen, S, Qu, C, Lin, Y et al.. Genetic architectures of proximal and distal colorectal cancer are partly distinct. Gut 2021; 70 (7): 1325-1334. PubMed PMID:33632709 PubMed Central PMC8223655.
  7. Matejcic, M, Shaban, HA, Quintana, MW, Schumacher, FR, Edlund, CK, Naghi, L, Pai, RK, Haile, RW, Levine, AJ, Buchanan, DD et al.. Rare Variants in the DNA Repair Pathway and the Risk of Colorectal Cancer. Cancer Epidemiol Biomarkers Prev 2021; 30 (5): 895-903. PubMed PMID:33627384 PubMed Central PMC8102340.
  8. Conti, DV, Darst, BF, Moss, LC, Saunders, EJ, Sheng, X, Chou, A, Schumacher, FR, Olama, AAA, Benlloch, S, Dadaev, T et al.. Publisher Correction: Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction. Nat Genet 2021; 53 (3): 413. PubMed PMID:33473200 .
  9. Conti, DV, Darst, BF, Moss, LC, Saunders, EJ, Sheng, X, Chou, A, Schumacher, FR, Olama, AAA, Benlloch, S, Dadaev, T et al.. Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction. Nat Genet 2021; 53 (1): 65-75. PubMed PMID:33398198 PubMed Central PMC8148035.
  10. Guo, X, Lin, W, Wen, W, Huyghe, J, Bien, S, Cai, Q, Harrison, T, Chen, Z, Qu, C, Bao, J et al.. Identifying Novel Susceptibility Genes for Colorectal Cancer Risk From a Transcriptome-Wide Association Study of 125,478 Subjects. Gastroenterology 2021; 160 (4): 1164-1178.e6. PubMed PMID:33058866 PubMed Central PMC7956223.
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