Topoi 35 (1):175-190 (2016)

Authors
Phyllis Illari
University College London
Abstract
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 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. In another recent paper, Illari 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
Keywords Causality  Information  Biomarkers  Exposomics  Productive causality  Causality as production  Biomarkers of disease  Exposome
Categories (categorize this paper)
ISBN(s)
DOI 10.1007/s11245-013-9228-1
Options
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

PhilArchive copy


Upload a copy of this paper     Check publisher's policy     Papers currently archived: 51,707
Through your library

References found in this work BETA

Thinking About Mechanisms.Peter K. Machamer, Lindley Darden & Carl F. Craver - 2000 - Philosophy of Science 67 (1):1-25.
Every Thing Must Go: Metaphysics Naturalized.James Ladyman & Don Ross - 2007 - In James Ladyman, Don Ross, David Spurrett & John Collier (eds.), Every Thing Must Go: Metaphysics Naturalized. Oxford University Press.

View all 40 references / Add more references

Citations of this work BETA

The Epistemology of Non-Distributive Profiles.Patrick Allo - forthcoming - Philosophy and Technology:1-31.

View all 7 citations / Add more citations

Similar books and articles

Dispositional Versus Epistemic Causality.Jon Williamson - 2006 - Minds and Machines 16 (3):259-276.
Causality Reunified.Michael Strevens - 2013 - Erkenntnis 78 (2):299-320.
Imaging Technology and the Philosophy of Causality.Jon Williamson - 2011 - Philosophy and Technology 24 (2):115-136.

Analytics

Added to PP index
2013-12-20

Total views
42 ( #225,148 of 2,333,200 )

Recent downloads (6 months)
3 ( #256,625 of 2,333,200 )

How can I increase my downloads?

Downloads

My notes