Abstract
The co-occurrence of diseases can inform the underlying network biology of shared and multifunctional genes and pathways. In addition, comorbidities help to elucidate the effects of external exposures, such as diet, lifestyle and patient care. With worldwide health transaction data now often being collected electronically, disease co-occurrences are starting to be quantitatively characterized. Linking network dynamics to the real-life, non-ideal patient in whom diseases co-occur and interact provides a valuable basis for generating hypotheses on molecular disease mechanisms, and provides knowledge that can facilitate drug repurposing and the development of targeted therapeutic strategies.
Keywords
BiologyComputational biologyDiseaseSystems biologyEvolutionary biologyCognitive sciencePathologyMedicinePsychology
MeSH Terms
ComorbidityComputational BiologyDiseaseHumansMetabolic Networks and PathwaysSystems Biology
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Publication Info
- Year
- 2016
- Type
- review
- Volume
- 17
- Issue
- 10
- Pages
- 615-629
- Citations
- 334
- Access
- Closed
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Cite This
Jessica Xin Hu,
Cecilia Engel Thomas,
Søren Brunak
(2016).
Network biology concepts in complex disease comorbidities.
Nature Reviews Genetics
, 17
(10)
, 615-629.
https://doi.org/10.1038/nrg.2016.87
Identifiers
- DOI
- 10.1038/nrg.2016.87
- PMID
- 27498692