ArticleEmerging themes in epidemiology2017
Causality in cancer research: a journey through models in molecular epidemiology and their philosophical interpretation.
Article in Emerging themes in epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Causality and exposome.European journal of epidemiology · 2025Article
- English Cocker Spaniels under primary veterinary care in the UK: disorder predispositions and protections.Canine medicine and genetics · 2024Article
- Precision Epidemiology: A Computational Analysis of the Impact of Algorithmic Prediction on the Relationship Between Population Epidemiology and Clinical Epidemiology.International journal of public health · 2024Article
- Reuniting philosophy and science to advance cancer research.Biological reviews of the Cambridge Philosophical Society · 2023Article
- Risk of Carcinogenicity Associated with Synthetic Hair Dyeing Formulations: A Biochemical View on Action Mechanisms, Genetic Variation and Prevention.Indian journal of clinical biochemistry : IJCB · 2022Review
- English Bulldogs in the UK: a VetCompass study of their disorder predispositions and protections.Canine medicine and genetics · 2022Article
- Health of Pug dogs in the UK: disorder predispositions and protections.Canine medicine and genetics · 2022Article
- French Bulldogs differ to other dogs in the UK in propensity for many common disorders: a VetCompass study.Canine medicine and genetics · 2021Article
- Disorder predispositions and protections of Labrador Retrievers in the UK.Scientific reports · 2021Article
- Information Structures for Causally Explainable Decisions.Entropy (Basel, Switzerland) · 2021Article
- Commentary: Special Report: The Biology of Inequalities in Health: The Lifepath Consortium.Frontiers in public health · 2020Article
- Characterizing causality in cancer.eLife · 2019Article
- From John Snow to omics: the long journey of environmental epidemiology.European journal of epidemiology · 2018Article
- Cosmetics and Cancer: Adverse Event Reports Submitted to the Food and Drug Administration.JNCI cancer spectrum · 2018Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the last decades, Systems Biology (including cancer research) has been driven by technology, statistical modelling and bioinformatics. In this paper we try to bring biological and philosophical thinking back. We thus aim at making different traditions of thought compatible: (a) causality in epidemiology and in philosophical theorizing-notably, the "sufficient-component-cause framework" and the "mark transmission" approach; (b) new acquisitions about disease pathogenesis, e.g. the "branched model" in cancer, and the role of biomarkers in this process; (c) the burgeoning of omics research, with a large number of "signals" and of associations that need to be interpreted. In the paper we summarize first the current views on carcinogenesis, and then explore the relevance of current philosophical interpretations of "cancer causes". We try to offer a unifying framework to incorporate biomarkers and omic data into causal models, referring to a position called "evidential pluralism". According to this view, causal reasoning is based on both "evidence of difference-making" (e.g. associations) and on "evidence of underlying biological mechanisms". We conceptualize the way scientists detect and trace signals in terms of
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.