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Lynn M. Schriml, PhD

Academic Title:

Professor

Primary Appointment:

Epidemiology & Public Health

Additional Title:

Institute for Genome Sciences

Location:

Health Sciences Facility III, 670 West Baltimore St, Baltimore 21201

Phone (Primary):

(410) 706-6776

Education and Training

  • Bachelor of Arts, 1989, Wells College, Major: Biology
  • Doctorate of Philosophy, 1997, University of Ottawa, Department of Biology
  • IRTA/CRTA Postdoctoral Fellowship, 1996-1999, National Cancer Institute, Frederick Cancer Research and Development Center, Laboratory of Genomic Diversity, Frederick, Maryland

Biosketch

Dr. Lynn M. Schriml is a Professor at the University of Maryland, School of Medicine in the Department of Epidemiology and Public Health and at the Institute of Genome Science (IGS) in Baltimore, Maryland. 

Dr. Schriml’s current research incorporates data science and knowledge engineering, focusing on the classification of genetic and environmental drivers of complex diseases, biomedical data sharing, integration and harmonization. Dr. Schriml’s research program involves the creation of broadly adopted, standardization approaches for collecting and reporting of genome metadata and for classifying and annotating human diseases that accelerate science. Dr. Schriml’s research is focused on transforming complex data into meaningful knowledge. Standardized descriptors of diseases and the data describing genomic sequences have become critical infrastructure components for storing, computing, analyzing, and sharing of data for studying biological systems. 

Dr. Schriml is a member of the Population Science Program within the University of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center (UMGCC) Program in Oncology. Dr. Schriml’s research centers on developing and implementing ontological tools aimed at classifying and unifying cancer nomenclature and term usage.

Dr. Schriml leads a number of ontology and metadata standard development and implementation projects. As PI of the Disease Ontology project, established in 2003. Dr. Schriml leads ontology community-based curation, expansion and utilization efforts. The Human Disease Ontology, a designated Global Core Biodata Resource, is utilized broadly across biomedical databases and resources for knowledge and data sharing facilitating standardized annotation of biomedical data. Dr. Schriml’s group is currently focused on the classification and annotation of rare diseases and cancer, actively engaged with the Model Organism Databases to standardize human diseases associated with animal models.

As President of the Genomic Standards Consortium, Dr. Schriml leads an international team of genomic science leaders, to identify, build and implement novel metadata standards, thus providing a venue for standardized contextual descriptions of genomes, metagenomes and microbiome sequences and studies. 

Dr. Schriml’s research program involves the creation of broadly adopted, standardization approaches for reporting of genomic metadata, leading global environmental metagenome studies examining the movement and roles of microbiomes in the built environment (e.g., Island soil microbial diversity), and leading the Baltimore MetaSUB study, as part of the MetaSUB consortium's worldwide effort to characterize the urban biome. 

Following Dr. Schriml’s postdoctoral research at the National Cancer Institute - Frederick Cancer Research and Development Center conducting population studies and characterizing mouse ABC-transporters, Dr. Schriml transitioned to bioinformatics. Dr. Schriml developed bioinformatics tools for model organism genome projects at the National Center for Biotechnology Information (NCBI) at NIH as a Staff Scientist prior to joining the Institute for Genome Research (TIGR) in 2005 to develop the microbial surveillance Gemina project.

Research/Clinical Keywords

Human Disease Knowledge Representation, Biomedical Ontologies, Genomic Metadata Standards, Epidemiology, Bioinformatics, Data Mining, Big Data, Microbiome, Microbiome, Knowledgebase

Highlighted Publications

Dr. Schriml's full list of publications, at MyNCBI

Additional Publication Citations

Keenum I, Jackson SA, Eloe-Fadrosh E, Schriml LM. A standards perspective on genomic data reusability and reproducibility. Front Bioinform.2025;5:1572937. doi: 10.3389/fbinf.2025.1572937. eCollection 2025. PubMed PMID: 40130011; PubMed Central PMCID: PMC11931119.

Baron JA, Johnson CS, Schor MA, Olley D, Nickel L, Felix V, Munro JB, Bello SM, Bearer C, Lichenstein R, Bisordi K, Koka R, Greene C, Schriml LM. The DO-KB Knowledgebase: a 20-year journey developing the disease open science ecosystem. Nucleic Acids Res. 2024 Jan 5;52(D1):D1305-D1314. doi: 10.1093/nar/gkad1051. PubMed PMID: 37953304; PubMed Central PMCID: PMC10767934.

Eloe-Fadrosh EA, Mungall CJ, Miller MA, Smith M, Patil SS, Kelliher JM, Johnson LYD, Rodriguez FE, Chain PSG, Hu B, Thornton MB, McCue LA, McHardy AC, Harris NL, Reddy TBK, Mukherjee S, Hunter CI, Walls R, Schriml LM. A Practical Approach to Using the Genomic Standards Consortium MIxS Reporting Standard for Comparative Genomics and Metagenomics. Methods Mol Biol. 2024;2802:587-609. doi: 10.1007/978-1-0716-3838-5_20. PubMed PMID: 38819573.

Schriml LM, Lichenstein R, Bisordi K, Bearer C, Baron JA, Greene C. Modeling the enigma of complex disease etiology. J Transl Med. 2023 Feb 25;21(1):148. doi: 10.1186/s12967-023-03987-x. PubMed PMID: 36829165; PubMed Central PMCID: PMC9957692.

Yilmaz P et al. (2011) Minimum information about a marker gene sequence (MIMARKS) and minimum information about any (x) sequence (MIxS) specifications. Nat Biotechnol. 29:415-420.

Complete List of Published Work in  PubMed

 

Research Interests

Dr. Schriml's research interests include human disease, infectious diseases, ontologies, metadata standards, epidemiology, bioinformatics, data mining, statistics and microbiome.

Dr. Schriml's areas of focus include:

  • Biomedical ontologies: development and utilization for exploring BigData and cancer.
  • Genome metadata standards development and implementation
  • Microbial community diversity and metadata in the built environment
  • MetaSUB: characterizing transit system metagenomes and microbiomes
  • Health Disparities among individuals with Intellectual Disabilities

Awards and Affiliations

  • University of Maryland School of Medicine, Department of Epidemiology

    and Public Health, Medical School Teaching Award, 2015
  • President, Genomic Standards Consortium, 2015-present

Links of Interest