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Information Channels and Biomarkers of Disease

Illari, P; Russo, F; (2016) Information Channels and Biomarkers of Disease. Topoi , 35 (1) pp. 175-190. 10.1007/s11245-013-9228-1. Green open access

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Current research in molecular epidemiology uses biomarkers to model the different disease phases from environmental exposure, to early clinical changes, to development of disease. The hope is to get a better understanding of the causal impact of a number of pollutants and chemicals on several diseases, including cancer and allergies. In a recent paper Russo and Williamson (Med Stud, 2012) address the question of what evidential elements enter the conceptualisation and modelling stages of this type of biomarkers research. Recent research in causality has examined Ned Hall’s distinction between two concepts of causality: production and dependence (Hall in Causation and counterfactuals. MIT Press, Cambridge, pp 225–276, 2004). In another recent paper, Illari (Philos Technol, p 20, 2011b) examined the relatively under-explored production approach to causality, arguing that at least one job of an account of causal production is to illuminate our inferential practices concerning causal linking. Illari argued that an informational account solves existing problems with traditional accounts. This paper follows up this previous work by investigating the nature of the causal links established in biomarkers research. We argue that traditional accounts of productive causality are unable to provide a sensible account of the nature of the causal link in biomarkers research, while an informational account is very promising.

Type: Article
Title: Information Channels and Biomarkers of Disease
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/s11245-013-9228-1
Publisher version: http://dx.doi.org/10.1007/s11245-013-9228-1
Language: English
Additional information: The final publication is available at Springer via http://dx.doi.org/10.1007/s11245-013-9228-1.
Keywords: Causality, Information Biomarkers, Exposomics, Productive causality, Causality as production, Biomarkers of disease, Exposome
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Science and Technology Studies
URI: https://discovery.ucl.ac.uk/id/eprint/1454718
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