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. Arthur, VL, Li, Z, Cao, R, Oetting, WS, Israni, AK, Jacobson, PA, Ritchie, MD, Guan, W, Chen, J. A Multi-Marker Test for Analyzing Paired Genetic Data in Transplantation. Front Genet 2021; 12 : 745773. PubMed PMID:34721531 PubMed Central PMC8548646.
  2. Li, B, Ritchie, MD. From GWAS to Gene: Transcriptome-Wide Association Studies and Other Methods to Functionally Understand GWAS Discoveries. Front Genet 2021; 12 : 713230. PubMed PMID:34659337 PubMed Central PMC8515949.
  3. Abramoff, BA, Dillingham, TR, Caldera, FE, Ritchie, MD, Pezzin, LE. Inpatient Rehabilitation Outcomes After Severe COVID-19 Infections: A Retrospective Cohort Study. Am J Phys Med Rehabil 2021; 100 (12): 1109-1114. PubMed PMID:34657085 PubMed Central PMC8594383.
  4. Buchanan, AH, Manickam, K, Meyer, MN, Wagner, JK, Hallquist, MLG, Williams, JL, Rahm, AK, Williams, MS, Chen, ZE, Shah, CK et al.. Correction to: Early cancer diagnoses through BRCA1/2 screening of unselected adult biobank participants. Genet Med 2021; 23 (12): 2470. PubMed PMID:34646007 .
  5. Verma, A, Tsao, NL, Thomann, L, Ho, YL, Iyengar, SK, Luoh, SW, Carr, R, Crawford, D, Efird, JT, Huffman, J et al.. A Phenome-Wide Association Study of genes associated with COVID-19 severity reveals shared genetics with complex diseases in the Million Veteran Program. medRxiv 2021; : . PubMed PMID:34642702 PubMed Central PMC8509103.
  6. Hartwell, EE, Merikangas, AK, Verma, SS, Ritchie, MD, Regeneron Genetics Center, Kranzler, HR, Kember, RL. Genetic liability for substance use associated with medical comorbidities in electronic health records of African- and European-ancestry individuals. Addict Biol 2021; : e13099. PubMed PMID:34611967 .
  7. Liu, X, Verma, A, Garcia, G Jr, Ramage, H, Lucas, A, Myers, RL, Michaelson, JJ, Coryell, W, Kumar, A, Charney, AW et al.. Targeting the coronavirus nucleocapsid protein through GSK-3 inhibition. Proc Natl Acad Sci U S A 2021; 118 (42): . PubMed PMID:34593624 PubMed Central PMC8594528.
  8. Park, J, Packard, EA, Levin, MG, Judy, RL, Regeneron Genetics Center, Damrauer, SM, Day, SM, Ritchie, MD, Rader, DJ. A genome-first approach to rare variants in hypertrophic cardiomyopathy genes MYBPC3 and MYH7 in a medical biobank. Hum Mol Genet 2021; : . PubMed PMID:34542152 .
  9. Holmes, JH, Beinlich, J, Boland, MR, Bowles, KH, Chen, Y, Cook, TS, Demiris, G, Draugelis, M, Fluharty, L, Gabriel, PE et al.. Why Is the Electronic Health Record So Challenging for Research and Clinical Care? Methods Inf Med 2021; 60 (1-02): 32-48. PubMed PMID:34282602 .
  10. Banday, AR, Stanifer, ML, Florez-Vargas, O, Onabajo, OO, Zahoor, MA, Papenberg, BW, Ring, TJ, Lee, CH, Andreakos, E, Arons, E et al.. Genetic regulation of OAS1 nonsense-mediated decay underlies association with risk of severe COVID-19. medRxiv 2021; : . PubMed PMID:34282422 PubMed Central PMC8288155.
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Dr. Ritchie on Twitter

Dr. Ritchie on Twitter

Ha, ha!! I love seeing my rainbow bookshelf on Twitter. Made my day! 🌈 📚 ❤️ 😊…

@uk_biobank Great session!!! Thank you all for the exciting talks and interesting discussion.

If you did not get to join this session live today, look for the recording online tomorrow. The talks are exceptional!!!…

Perhaps my favorite podcast episode of all time. @BreneBrown and @brettgoldstein are witty, clever, and real. I felt like I was listening to two of my friends hanging out. I laughed and smiled throughout. He’s here, he’s there, he’s every effing where, #RoyKent

test Twitter Media - Perhaps my favorite podcast episode of all time.  @BreneBrown and @brettgoldstein are witty, clever, and real.  I felt like I was listening to two of my friends hanging out.  I laughed and smiled throughout.  He’s here, he’s there, he’s every effing where, #RoyKent

Thinking about #Bioinformatics or #compbio for grad school? Looking for more info about @UPennGCB program. Register for our open house on Nov 4th. Find more details here:……

@JoeInGenes Thank you, Joe. You are too kind. I am so honored to be chosen to mentor phenomenal students like you!

Thank you @moorejh for your ongoing support and mentorship.…

Thank you all for everything you have done to support my science and my vision. I feel incredibly honored and very grateful. #womeninstem @ELAMProgram @PennGenetics @UPennIBI @PennPrecisMed…

I need to extend tremendous gratitude to all current & former members of the Ritchie Lab and my mentors and collaborators for the past 2 decades. Being recognized in this way is possible because of the support and collaboration by such amazing scientists.….

The Ritchie Lab Website

Curriculum vitae