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Skip to main navigation Skip to search Skip to main content Research Profiles at Washington University School of Medicine Home Help & FAQ Home Profiles Departments, Divisions and Centers Research output Search by expertise, name or affiliation View Scopus Profile John Edwards Associate Professor of Medicine Division of PharmacogenomicsRoy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS)DBBS - Computational and Systems BiologyDBBS - Human and Statistical GeneticsDBBS - Molecular Genetics and GenomicsInstitute of Clinical and Translational Sciences (ICTS)Siteman Cancer Center  https://orcid.org/0000-0001-9490-5799 Willing to MentorAvailable to Mentor:PhD/MSTP Students 4249 Citations 20012023 Research activity per year Overview Fingerprint Network Research output (46) Similar Profiles (12) Personal profile Research interestsDNA methylation changes are found in many human diseases and in cancer. Further neuronal-specific DNA methylation changes are critical for proper brain development and mutations in the genes that regulate methylation are frequently associated with neurodevelopmental disorders. My lab seeks to understand the epigenetic basis of human disease and cancer through the application and development of new experimental and computational genomic analysis methods. We have previously embarked on a variety of projects and collaborations to use genome-wide methylation profiling to uncover the disease relevance of DNA methylation changes. These projects have yielded insights into the regulatory roles for methylation in AML cells treated with DNA methyltransferase inhibitors, in endocrine-therapy resistant breast cancer, in modulating OGT-mediated transposon repression, and in the role of 5-hydroxymethylation in gene regulation in neurons. We also recently developed a new bioinformatic approach for deconvolving DNA methylation data from a heterogeneous tissue to study epigenetic subclones in lymphoma. Ongoing projects in the lab primarily focus on the areas below:Computational EpigeneticsWe have a particular interest in developing and applying advanced methods from machine learning and data science to unravel the functional consequences of DNA methylation changes in human disease and cancer. Epigenomic Technology Development We are developing novel nanopore sequencing based approaches for genome-wide epigenetic analysis and integrative multi-omic single-cell approaches to understand the role of DNA methylation and 5-hydroxymethylation in the developing brain.Role of Methylation Changes in CancerWe are applying novel epigenome editing approaches in conjunction with high-throughput reporter assays to reveal the functional role of DNA methylation variants in cancer. Our long-term goal is to inform our computational models to develop software to predict and interpret the functional effects of DNA methylation changes in clinical sequencing data.  Lab Website Available to Mentor:PhD/MSTP Students Fingerprint Dive into the research topics where John Edwards is active. These topic labels come from the works of this person. Together they form a unique fingerprint. 12 Similar Profiles Methylation Medicine & Life Sciences 100% DNA Methylation Medicine & Life Sciences 95% Genome Medicine & Life Sciences 43% Dideoxynucleotides Medicine & Life Sciences 41% DNA Sequence Analysis Medicine & Life Sciences 41% DNA Medicine & Life Sciences 38% Gene Expression Medicine & Life Sciences 38% Genes Medicine & Life Sciences 38% View full fingerprint Collaborations and top research areas from the last five years Recent external collaboration on country/territory level. Dive into details by clicking on the dots or Select a country/territory from the list Dive into details Select a country/territory to view shared publications and projects Close Select a country/territory from the list Explore network further Research output Research output per year 2001 2006 2007 2013 2015 2016 2017 2018 2021 2023 38 Article 4 Review article 2 Chapter 1 Comment/debate 1 More 1 Letter Research output per year Research output per year A human mitofusin 2 mutation can cause mitophagic cardiomyopathyFranco, A., Li, J., Kelly, D. P., Hershberger, R. E., Marian, A. J., Lewis, R. M., Song, M., Dang, X., Schmidt, A. D., Mathyer, M. E., Edwards, J. R., Strong, C. D. G. & Dorn, G. W., 2023, In: eLife. 12, e84235.Research output: Contribution to journal › Article › peer-review Open Access Cardiomyopathies 100% Mitophagy 93% Mutation 86% RNA Sequencing 56% Mitochondrial Dynamics 43% 3 Scopus citations Breast Cancer Mutations HER2V777L and PIK3CAH1047R Activate the p21–CDK4/6–Cyclin D1 Axis to Drive Tumorigenesis and Drug ResistanceCheng, X., Sun, Y., Highkin, M., Vemalapally, N., Jin, X., Zhou, B., Prior, J. L., Tipton, A. R., Li, S., Iliuk, A., Achilefu, S., Hagemann, I. S., Edwards, J. R. & Bose, R., Sep 2023, In: Cancer research. 83, 17, p. 2839-2857 19 p.Research output: Contribution to journal › Article › peer-review N-(4-(3-chloro-4-(2-pyridinylmethoxy)anilino)-3-cyano-7-ethoxy-6-quinolyl)-4-(dimethylamino)-2-butenamide 100% Drug Resistance 87% Carcinogenesis 73% Breast Neoplasms 60% Mutation 53% 4 Scopus citations A human STAT3 gain-of-function variant confers T cell dysregulation without predominant Treg dysfunction in miceSchmitt, E. G., Toth, K. A., Risma, S. I., Kolicheski, A., Saucier, N., Feliciano Berríos, R. J., Greenberg, Z. J., Leiding, J. W., Bleesing, J. J., Thatayatikom, A., Schuettpelz, L. G., Edwards, J. R., Vogel, T. P. & Cooper, M. A., Nov 8 2022, In: JCI Insight. 7, 21, e162695.Research output: Contribution to journal › Article › peer-review Open Access Immune System Diseases 100% T-Lymphocytes 72% Th17 Cells 27% RNA-Seq 27% Th1 Cells 27% 6 Scopus citations Association of circulating sex hormones with inflammation and disease severity in patients with COVID-19Dhindsa, S., Zhang, N., McPhaul, M. J., Wu, Z., Ghoshal, A. K., Erlich, E. C., Mani, K., Randolph, G. J., Edwards, J. R., Mudd, P. A. & Diwan, A., May 25 2021, In: JAMA Network Open. 4, 5, p. E2111398Research output: Contribution to journal › Article › peer-review Open Access Gonadal Steroid Hormones 100% Testosterone 80% Insulin-Like Growth Factor I 61% Inflammation 53% Hormones 53% 116 Scopus citations Determining subpopulation methylation profiles from bisulfite sequencing data of heterogeneous samples using DXMFong, J., Gardner, J. R., Andrews, J. M., Cashen, A. F., Payton, J. E., Weinberger, K. Q. & Edwards, J., Sep 20 2021, In: Nucleic acids research. 49, 16, p. E93-E93Research output: Contribution to journal › Article › peer-review Open Access hydrogen sulfite 100% Methylation 71% Lymphoma, Large B-Cell, Diffuse 44% Disease Progression 31% Benchmarking 21% 6 Scopus citations View all 46 Research outputs Powered by Pure, Scopus & Elsevier Fingerprint Engine™ All content on this site: Copyright © 2024 Elsevier B.V. or its licensors and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. 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