R
Richard Tutton
Researcher at Lancaster University
Publications - 61
Citations - 1946
Richard Tutton is an academic researcher from Lancaster University. The author has contributed to research in topics: Biobank & Population. The author has an hindex of 23, co-authored 59 publications receiving 1772 citations. Previous affiliations of Richard Tutton include University of York & University of Nottingham.
Papers
More filters
Journal ArticleDOI
Shifting Subject Positions Experts and Lay People in Public Dialogue
TL;DR: This paper explored the dynamics of expertise and their implications for the lay-expert divide at a series of public events about the new genetics and found that participants supplemented technical expertise with other expert and lay perspectives.
BookDOI
Genetic Databases : Socio-Ethical Issues in the Collection and Use of DNA
Richard Tutton,Oonagh Corrigan +1 more
TL;DR: This book discusses public participation in Genetic Databases, tissue collection and the Pharmaceutical Industry, and 'Public Consent' or 'Scientific Citizenship'?
Journal ArticleDOI
Personalizing medicine: futures present and past.
TL;DR: It is argued that expectations about genomics to bring about a personalized medicine are 'prefigured' by other ways in which knowledge about individual specificity and variability have been at the centre of claims and counterclaims about the future of medicine since the 19th century.
Journal ArticleDOI
The Standardization of Race and Ethnicity in Biomedical Science Editorials and UK Biobanks
TL;DR: It is argued that, although a genetic concept of race and ethnicity is unlikely to wholly supplant a socio-political one, the adoption of census classifications into biomedical research is an alignment of state bureaucracy and science that could have significant consequences.
Journal ArticleDOI
Life, science, and biopower
Sujatha Raman,Richard Tutton +1 more
TL;DR: The authors argue that this account is limited by a focus on novelty and assumptions about the transformative power of the genetic life sciences and suggest that biopower consists of a more complex cluster of relationships between the molecular and the population.