ArticleScience, technology & human values2016
Accounting for Complexity: Gene-environment Interaction Research and the Moral Economy of Quantification.
Article in Science, technology & human values, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
The trial behind it
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Who cites it
11 citing papers in PubMed, 31 citations in OpenAlex.
- Media framings of the role of genomics in "addiction" in the United States from 2015 to 2019: Individualized risk, biomedical expertise, and the limits of destigmatization.Public understanding of science (Bristol, England) · 2024Article
- Infrastructuring Educational Genomics: Associations, Architectures, and Apparatuses.Postdigital science and education · 2024Article
- Precision public health in the making: examining the becoming of the "social" in a Swiss environmental health population-based cohort.Frontiers in sociology · 2023Article
- Plastic diagnostics: The remaking of disease and evidence in personalized medicine.Social science & medicine (1982) · 2022Article
- "Doing Good" in U.S. Cancer Genomics? Valuation practices across the boundaries of research and care in rural community oncology.New genetics and society · 2022Article
- Psychotherapy trainees' epistemological assumptions influencing research-practice integration.Research in psychotherapy (Milano) · 2019Article
- Datafication and accountability in public health: Introduction to a special issue.Social studies of science · 2019Article
- Polygenic risk-stratified screening for cancer: Responsibilization in public health genomics.Social studies of science · 2019Article
- Racialized Risk in Clinical Care: Clinician Vigilance and Patient Responsibility.Medical anthropology · 2019Article
- The Ethics of Translational Science: Imagining Public Benefit in Gene-Environment Interaction Research.Engaging science, technology, and society · 2017Article
- Enacting the molecular imperative: How gene-environment interaction research links bodies and environments in the post-genomic age.Social science & medicine (1982) · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Scientists now agree that common diseases arise through interactions of genetic and environmental factors, but there is less agreement about how scientific research should account for these interactions. This paper examines the politics of quantification in gene-environment interaction (GEI) research. Drawing on interviews and observations with GEI researchers who study common, complex diseases, we describe quantification as an unfolding moral economy of science, in which researchers collectively enact competing ''virtues.'' Dominant virtues include molecular precision, in which behavioral and social risk factors are moved into the body, and ''harmonization,'' in which scientists create large data sets and common interests in multisited consortia. We describe the negotiations and trade-offs scientists enact in order to produce credible knowledge and the forms of (self-)discipline that shape researchers, their practices, and objects of study. We describe how prevailing techniques of quantification are premised on the shrinking of the environment in the interest of producing harmonized data and harmonious scientists, leading some scientists to argue that social, economic, and political influences on disease patterns are sidelined in postgenomic research. We consider how a variety of GEI researchers navigate quantification's productive and limiting effects on the science of etiological complexity.
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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.