Symposium Speaker: Marylyn D. Ritchie, PhD, MS

Dr. Marylyn Ritchie is Professor in the Department of Biochemistry and Molecular Biology and Director, Center for Systems Genomics at the Pennsylvania State University.  Dr. Ritchie is also Director of the new Biomedical and Translational Informatics at Geisinger Clinic.  Dr. Ritchie’s research interests as a statistical geneticist include the development and application of novel statistical and computational methods to identify genetic variants associated with human diseases.  Dr. Ritchie’s lab places a special emphasis on the development of methods to detect gene-gene interactions, gene-environment interactions, and network/pathway effects associated with disease.  Dr. Ritchie has extensive experience in Big Data science and the use of electronic health records in genomic research.  Dr. Ritchie has been the electronic MEdical Records & GEnomics (eMERGE) Coordinating Center genomics lead for the past eight years.  Dr. Ritchie’s other accomplishments include being named Genome Technology’s “Rising Young Investigator” (2006), a Sloan Research Fellow (2010), and a Kavli Frontiers in Sciences fellow by the National Academy of Science (2011-2014).  Dr. Ritchie was most recently named Thomas Reuters Most Highly Cited Researchers in 2014.

Recent Publications

  1. Kim, YG, Nam, Y, Westbrook, TM, Joo, J, Woerner, J, Deo, R, Ritchie, MD, Kim, D. Protein risk scores enable precise prediction of cardiovascular events in chronic kidney disease patients. medRxiv 2025; : . PubMed PMID:40778120 PubMed Central PMC12330408.
  2. Khan, A, Gould, PA, Luo, Y, Prens, EP, Wheless, L, Hung, AM, VA Million Veteran Program, Drivas, TG, Ritchie, MD, Saeidian, AH et al.. The polygenic architecture of hidradenitis suppurativa reveals signaling mechanisms that implicate epithelial remodeling. medRxiv 2025; : . PubMed PMID:40766141 PubMed Central PMC12324615.
  3. Kim, J, Chae, A, Duda, J, Borthakur, A, Rader, DJ, Gee, JC, Kahn, CE Jr, Penn Medicine BioBank, Witschey, WR, Sagreiya, H et al.. Automated characterization of abdominal MRI exams using deep learning. Sci Rep 2025; 15 (1): 27044. PubMed PMID:40715356 PubMed Central PMC12297695.
  4. Smit, RAJ, Wade, KH, Hui, Q, Arias, JD, Yin, X, Christiansen, MR, Yengo, L, Preuss, MH, Nakabuye, M, Rocheleau, G et al.. Polygenic prediction of body mass index and obesity through the life course and across ancestries. Nat Med 2025; : . PubMed PMID:40691366 .
  5. Woerner, J, Westbrook, TM, Joo, J, Shivakumar, M, Venkatesh, R, Cherlin, T, Jung, SH, Jeong, S, Maseda, D, McKeague, M et al.. Large-scale evaluation of proteomic and polygenic risk scores reveals complementary contributions to incident disease prediction. medRxiv 2025; : . PubMed PMID:40672481 PubMed Central PMC12265734.
  6. Beeche, C, Zhao, B, Tavolinejad, H, Pourmussa, B, Kim, J, Duda, J, Gee, J, Witschey, WR, Chirinos, JA, Penn Medicine BioBank et al.. Early Vascular Aging Determined by 3-Dimensional Aortic Geometry: Genetic Determinants and Clinical Consequences. Circulation 2025; : . PubMed PMID:40671674 PubMed Central PMC12278840.
  7. Beeche, C, Kim, J, Tavolinejad, H, Zhao, B, Sharma, R, Duda, J, Gee, J, Dako, F, Verma, A, Morse, C et al.. A Pan-Organ Vision-Language Model for Generalizable 3D CT Representations. medRxiv 2025; : . PubMed PMID:40630577 PubMed Central PMC12236870.
  8. Gold, JI, Kripke, CM, Regeneron Genetics Center, Penn Medicine BioBank, Drivas, TG. Exclusion-based exome sequencing in critically ill adults 18-40 years old has a 24% diagnostic rate and finds racial disparities in access to genetic testing. Am J Hum Genet 2025; 112 (8): 1792-1804. PubMed PMID:40628270 .
  9. Gunter, HM, Choshi, P, Chimbetete, T, Pedretti, S, Lehloenya, RJ, Sinxadi, PZ, Ritchie, MD, Phillips, EJ, Haas, DW, Peter, JG et al.. Genetic polymorphisms and adverse reactions to antituberculosis therapy. Pharmacogenomics 2025; 26 (5-6): 207-221. PubMed PMID:40538374 PubMed Central PMC12203857.
  10. Venkatesh, R, Cardone, KM, Bradford, Y, Moore, AK, Kumar, R, Moore, JH, Shen, L, Kim, D, Ritchie, MD. Integrative multi-omics approaches identify molecular pathways and improve Alzheimer's Disease risk prediction. medRxiv 2025; : . PubMed PMID:40502591 PubMed Central PMC12155013.
Search PubMed

Dr. Ritchie on Twitter

Dr. Ritchie on Twitter

Fetch Tweets: Invalid or expired token. Code: 89

The Ritchie Lab Website

Curriculum vitae