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Human disease classification in the postgenomic era: A complex systems approach to human pathobiology

  • Department of Medicine
  • Brigham and Women’s Hospital
  • Harvard University
  • Department of Pediatrics
  • Boston Children's Hospital
  • University of Notre Dame

Research output: Contribution to journal › Review Article › peer-review

Abstract (may include machine translation)

Contemporary classification of human disease derives from observational correlation between pathological analysis and clinical syndromes. Characterizing disease in this way established a nosology that has served clinicians well to the current time, and depends on observational skills and simple laboratory tools to define the syndromic phenotype. Yet, this time-honored diagnostic strategy has significant shortcomings that reflect both a lack of sensitivity in identifying preclinical disease, and a lack of specificity in defining disease unequivocally. In this paper, we focus on the latter limitation, viewing it as a reflection both of the different clinical presentations of many diseases (variable phenotypic expression), and of the excessive reliance on Cartesian reductionism in establishing diagnoses. The purpose of this perspective is to provide a logical basis for a new approach to classifying human disease that uses conventional reductionism and incorporates the non-reductionist approach of systems biomedicine.

Original languageEnglish
Article number124
JournalMolecular Systems Biology
Volume3
DOIs
StatePublished - 2007
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Genotype
  • Network
  • Pathology
  • Phenotype

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