1. Harnessing formal concepts of biological mechanism to analyze human disease
- Author
-
Darden, Lindley, Kundu, Kunal, Pal, Lipika R., and Moult, John
- Subjects
0301 basic medicine ,Biomedical Research ,Heredity ,Databases, Factual ,Crohn's Disease ,Ignorance ,Notation ,Infographics ,Human disease ,0302 clinical medicine ,Medicine and Health Sciences ,Disease ,Biology (General) ,Physiological Phenomena ,Biological Phenomena ,media_common ,0303 health sciences ,Ecology ,Representation (systemics) ,Genomics ,Ambiguity ,Classification ,Phenotypes ,Computational Theory and Mathematics ,Mechanism (philosophy) ,Modeling and Simulation ,030220 oncology & carcinogenesis ,Perspective ,Identification (biology) ,Graphs ,Computer and Information Sciences ,QH301-705.5 ,media_common.quotation_subject ,Systems biology ,Immunology ,Gastroenterology and Hepatology ,Autoimmune Diseases ,Molecular Genetics ,Cellular and Molecular Neuroscience ,03 medical and health sciences ,Genome-Wide Association Studies ,Genetics ,Humans ,Molecular Biology ,Ecology, Evolution, Behavior and Systematics ,030304 developmental biology ,Philosophy of science ,Complex Traits ,Data Visualization ,Inflammatory Bowel Disease ,Computational Biology ,Biology and Life Sciences ,Human Genetics ,Genome Analysis ,Data science ,030104 developmental biology ,Genetic Loci ,Genetics of Disease ,Clinical Immunology ,Clinical Medicine - Abstract
Mechanism is a widely used concept in biology: in 2017 more than 10% of PubMed abstracts used the term. Thus, searching for and reasoning about mechanisms is fundamental to much of biomedical research, but until now there has been almost no computational infrastructure for this purpose. Recent work in the philosophy of science has explored the central role that the search for mechanistic accounts of biological phenomena plays in biomedical research, providing a conceptual basis for representing and analyzing biological mechanism. The foundational categories for components of mechanisms - entities and activities - guide the development of general, abstract types of biological mechanism parts. Building on that analysis, we have developed a formal framework for describing and representing biological mechanism, MecCog, and applied it to describing mechanisms underlying human genetic disease. Mechanisms are depicted using a graphical notation. Key features are assignment of mechanism components to stages of biological organization and classes; visual representation of uncertainty, ignorance, and ambiguity; and tight integration with literature sources. The MecCog framework facilitates analysis of many aspects of disease mechanism, including the prioritization of future experiments, probing of gene-drug and gene-environment interactions, identification of possible new drug targets, personalized drug choice, analysis of non-linear interactions between relevant genetic loci, and classification of disease based on mechanism.
- Published
- 2018
- Full Text
- View/download PDF