Articles producció científica> Enginyeria Informàtica i Matemàtiques

The multiplex network of human diseases

  • Identification data

    Identifier: imarina:5461492
    Authors:
    Halu, ArdaDe Domenico, ManlioArenas, AlexSharma, Amitabh
    Abstract:
    Untangling the complex interplay between phenotype and genotype is crucial to the effective characterization and subtyping of diseases. Here we build and analyze the multiplex network of 779 human diseases, which consists of a genotype-based layer and a phenotype-based layer. We show that diseases with common genetic constituents tend to share symptoms, and uncover how phenotype information helps boost genotype information. Moreover, we offer a flexible classification of diseases that considers their molecular underpinnings alongside their clinical manifestations. We detect cohesive groups of diseases that have high intra-group similarity at both the molecular and the phenotypic level. Inspecting these disease communities, we demonstrate the underlying pathways that connect diseases mechanistically. We observe monogenic disorders grouped together with complex diseases for which they increase the risk factor. We propose potentially new disease associations that arise as a unique feature of the information flow within and across the two layers.
  • Others:

    Author, as appears in the article.: Halu, Arda; De Domenico, Manlio; Arenas, Alex; Sharma, Amitabh
    Department: Enginyeria Informàtica i Matemàtiques
    URV's Author/s: Arenas Moreno, Alejandro / DE DOMENICO, MANLIO
    Keywords: Systems biology Phenotype Ontology Online mendelian inheritance Maps Humans Genotype Gene regulatory networks Disease Computational biology and bioinformatics Computational biology Community structure Biology
    Abstract: Untangling the complex interplay between phenotype and genotype is crucial to the effective characterization and subtyping of diseases. Here we build and analyze the multiplex network of 779 human diseases, which consists of a genotype-based layer and a phenotype-based layer. We show that diseases with common genetic constituents tend to share symptoms, and uncover how phenotype information helps boost genotype information. Moreover, we offer a flexible classification of diseases that considers their molecular underpinnings alongside their clinical manifestations. We detect cohesive groups of diseases that have high intra-group similarity at both the molecular and the phenotypic level. Inspecting these disease communities, we demonstrate the underlying pathways that connect diseases mechanistically. We observe monogenic disorders grouped together with complex diseases for which they increase the risk factor. We propose potentially new disease associations that arise as a unique feature of the information flow within and across the two layers.
    Thematic Areas: Modeling and simulation Mathematical & computational biology General biochemistry,genetics and molecular biology Drug discovery Computer science applications Biochemistry, genetics and molecular biology (miscellaneous) Biochemistry, genetics and molecular biology (all) Applied mathematics
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 20567189
    Author's mail: alexandre.arenas@urv.cat
    Author identifier: 0000-0003-0937-0334
    Record's date: 2024-09-28
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.nature.com/articles/s41540-019-0092-5
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Npj Syst Biol Appl. 5 (UNSP 15): 15-15
    APA: Halu, Arda; De Domenico, Manlio; Arenas, Alex; Sharma, Amitabh (2019). The multiplex network of human diseases. Npj Syst Biol Appl, 5(UNSP 15), 15-15. DOI: 10.1038/s41540-019-0092-5
    Article's DOI: 10.1038/s41540-019-0092-5
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2019
    Publication Type: Journal Publications
  • Keywords:

    Applied Mathematics,Biochemistry, Genetics and Molecular Biology (Miscellaneous),Computer Science Applications,Drug Discovery,Mathematical & Computational Biology,Modeling and Simulation
    Systems biology
    Phenotype
    Ontology
    Online mendelian inheritance
    Maps
    Humans
    Genotype
    Gene regulatory networks
    Disease
    Computational biology and bioinformatics
    Computational biology
    Community structure
    Biology
    Modeling and simulation
    Mathematical & computational biology
    General biochemistry,genetics and molecular biology
    Drug discovery
    Computer science applications
    Biochemistry, genetics and molecular biology (miscellaneous)
    Biochemistry, genetics and molecular biology (all)
    Applied mathematics
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