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. Vince, RA Jr, Sun, H, Singhal, U, Schumacher, FR, Trapl, E, Rose, J, Cullen, J, Zaorsky, N, Shoag, J, Hartman, H et al.. Assessing the Clinical Utility of Published Prostate Cancer Polygenic Risk Scores in a Large Biobank Data Set. Eur Urol Oncol 2024; : . PubMed PMID:38734542 .
  2. Meng, G, Pan, Y, Tang, W, Zhang, L, Cui, Y, Schumacher, FR, Wang, M, Wang, R, He, S, Krischer, J et al.. imply: improving cell-type deconvolution accuracy using personalized reference profiles. Genome Med 2024; 16 (1): 65. PubMed PMID:38685057 PubMed Central PMC11057104.
  3. Chen, Z, Guo, X, Tao, R, Huyghe, JR, Law, PJ, Fernandez-Rozadilla, C, Ping, J, Jia, G, Long, J, Li, C et al.. Fine-mapping analysis including over 254,000 East Asian and European descendants identifies 136 putative colorectal cancer susceptibility genes. Nat Commun 2024; 15 (1): 3557. PubMed PMID:38670944 PubMed Central PMC11053150.
  4. Wu, CW, Huang, YR, Bodner, D, Schumacher, FR, Baum, M, Hildebrandt, F. The evolving landscape of monogenic nephrolithiasis and therapeutic innovations. Nat Rev Urol 2024; : . PubMed PMID:38632353 .
  5. Yarmolinsky, J, Robinson, JW, Mariosa, D, Karhunen, V, Huang, J, Dimou, N, Murphy, N, Burrows, K, Bouras, E, Smith-Byrne, K et al.. Association between circulating inflammatory markers and adult cancer risk: a Mendelian randomization analysis. EBioMedicine 2024; 100 : 104991. PubMed PMID:38301482 PubMed Central PMC10844944.
  6. Watts, EL, Gonzales, TI, Strain, T, Saint-Maurice, PF, Bishop, DT, Chanock, SJ, Johansson, M, Keku, TO, Le Marchand, L, Moreno, V et al.. Observational and genetic associations between cardiorespiratory fitness and cancer: a UK Biobank and international consortia study. Br J Cancer 2024; 130 (1): 114-124. PubMed PMID:38057395 PubMed Central PMC10781786.
  7. Isali, I, Wong, TR, Batur, AF, Wu, CW, Schumacher, FR, Pope, R, Hijaz, A, Sheyn, D. Recurrent urinary tract infection genetic risk: a systematic review and gene network analysis. Int Urogynecol J 2024; 35 (2): 259-271. PubMed PMID:37917182 .
  8. Meng, G, Pan, Y, Tang, W, Zhang, L, Cui, Y, Schumacher, FR, Wang, M, Wang, R, He, S, Krischer, J et al.. imply: improving cell-type deconvolution accuracy using personalized reference profiles. bioRxiv 2023; : . PubMed PMID:37808714 PubMed Central PMC10557724.
  9. Thomas, M, Su, YR, Rosenthal, EA, Sakoda, LC, Schmit, SL, Timofeeva, MN, Chen, Z, Fernandez-Rozadilla, C, Law, PJ, Murphy, N et al.. Combining Asian and European genome-wide association studies of colorectal cancer improves risk prediction across racial and ethnic populations. Nat Commun 2023; 14 (1): 6147. PubMed PMID:37783704 PubMed Central PMC10545678.
  10. Wu, CW, Badreddine, J, Chang, J, Huang, YM, Kim, FJ, Wild, T, Tsai, AC, Meeks, N, Donalisio Da Silva, R, Molina, WR et al.. Population genetics analysis of SLC3A1 and SLC7A9 revealed the etiology of cystine stone may be more than what our current genetic knowledge can explain. Urolithiasis 2023; 51 (1): 101. PubMed PMID:37561200 .
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