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

By Joseph Loscalzo, Isaac S. Kohane, Albert-László Barabási. Molecular Systems Biology, 2007

602 citations recorded by the source corpus.

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.

Subfields: Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/543c455021cbc047c292eb7a4543ab065a95323f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

  1. D. Luke
  2. K. Stamatakis
  3. Natali Gulbahce
  4. Albert-László Barabási
  5. Joseph Loscalzo
  6. Jeremy K. Nicholson
  7. Edward C. Holmes
  8. Ian A. Wilson

In Molecular Biology

  1. Albert-László Barabási
  2. Jeremy K. Nicholson
  3. Joseph Loscalzo
  4. Ian A. Wilson
  5. Edward C. Holmes
  6. Natali Gulbahce
  7. D. Luke
  8. K. Stamatakis

Citations in the corpus