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. Yun, JS, Jung, SH, Lee, SN, Jung, SM, Penn Medicine Biobank, Won, HH, Kim, D, Choi, JA. Polygenic risk score-based phenome-wide association for glaucoma and its impact on disease susceptibility in two large biobanks. J Transl Med 2024; 22 (1): 355. PubMed PMID:38622600 PubMed Central PMC11020996.
  2. Wen, J, Zhao, B, Yang, Z, Erus, G, Skampardoni, I, Mamourian, E, Cui, Y, Hwang, G, Bao, J, Boquet-Pujadas, A et al.. The genetic architecture of multimodal human brain age. Nat Commun 2024; 15 (1): 2604. PubMed PMID:38521789 PubMed Central PMC10960798.
  3. Suzuki, K, Hatzikotoulas, K, Southam, L, Taylor, HJ, Yin, X, Lorenz, KM, Mandla, R, Huerta-Chagoya, A, Melloni, GEM, Kanoni, S et al.. Genetic drivers of heterogeneity in type 2 diabetes pathophysiology. Nature 2024; 627 (8003): 347-357. PubMed PMID:38374256 PubMed Central PMC10937372.
  4. Li, R, Benz, L, Duan, R, Denny, JC, Hakonarson, H, Mosley, JD, Smoller, JW, Wei, WQ, Ritchie, MD, Moore, JH et al.. mixWAS: An efficient distributed algorithm for mixed-outcomes genome-wide association studies. medRxiv 2024; : . PubMed PMID:38260403 PubMed Central PMC10802662.
  5. Chae, A, Yao, MS, Sagreiya, H, Goldberg, AD, Chatterjee, N, MacLean, MT, Duda, J, Elahi, A, Borthakur, A, Ritchie, MD et al.. Strategies for Implementing Machine Learning Algorithms in the Clinical Practice of Radiology. Radiology 2024; 310 (1): e223170. PubMed PMID:38259208 PubMed Central PMC10831483.
  6. Verma, SS, Gudiseva, HV, Chavali, VRM, Salowe, RJ, Bradford, Y, Guare, L, Lucas, A, Collins, DW, Vrathasha, V, Nair, RM et al.. A multi-cohort genome-wide association study in African ancestry individuals reveals risk loci for primary open-angle glaucoma. Cell 2024; 187 (2): 464-480.e10. PubMed PMID:38242088 .
  7. Song, I, Thompson, EW, Verma, A, MacLean, MT, Duda, J, Elahi, A, Tran, R, Raghupathy, P, Swago, S, Hazim, M et al.. Clinical correlates of CT imaging-derived phenotypes among lean and overweight patients with hepatic steatosis. Sci Rep 2024; 14 (1): 53. PubMed PMID:38167550 PubMed Central PMC10761858.
  8. Kember, RL, Verma, SS, Verma, A, Xiao, B, Lucas, A, Kripke, CM, Judy, R, Chen, J, Damrauer, SM, Rader, DJ et al.. Polygenic risk scores for cardiometabolic traits demonstrate importance of ancestry for predictive precision medicine. Pac Symp Biocomput 2024; 29 : 611-626. PubMed PMID:38160310 PubMed Central PMC10947742.
  9. Cardone, KM, Dudek, S, Keat, K, Bradford, Y, Cindi, Z, Daar, ES, Gulick, R, Riddler, SA, Lennox, JL, Sinxadi, P et al.. Lymphocyte Count Derived Polygenic Score and Interindividual Variability in CD4 T-cell Recovery in Response to Antiretroviral Therapy. Pac Symp Biocomput 2024; 29 : 594-610. PubMed PMID:38160309 PubMed Central PMC10764076.
  10. Wen, J, Nasrallah, IM, Abdulkadir, A, Satterthwaite, TD, Yang, Z, Erus, G, Robert-Fitzgerald, T, Singh, A, Sotiras, A, Boquet-Pujadas, A et al.. Genomic loci influence patterns of structural covariance in the human brain. Proc Natl Acad Sci U S A 2023; 120 (52): e2300842120. PubMed PMID:38127979 PubMed Central PMC10756284.
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Dr. Ritchie on Twitter

Dr. Ritchie on Twitter

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The Ritchie Lab Website

Curriculum vitae