Literature DB >> 27092389

Looping Genomes: Diagnostic Change and the Genetic Makeup of the Autism Population.

Daniel Navon, Gil Eyal.   

Abstract

This article builds on Hacking's framework of "dynamic nominalism" to show how knowledge about biological etiology can interact with the "kinds of people" delineated by diagnostic categories in ways that "loop" or modify both over time. The authors use historical materials to show how "geneticization" played a crucial role in binding together autism as a biosocial community and how evidence from genetics research later made an important contribution to the diagnostic expansion of autism. In the second part of the article, the authors draw on quantitative and qualitative analyses of autism rates over time in several rare conditions that are delineated strictly according to genomic mutations in order to demonstrate that these changes in diagnostic practice helped to both increase autism's prevalence and create its enormous genetic heterogeneity. Thus, a looping process that began with geneticization and involved the social effects of genetics research itself transformed the autism population and its genetic makeup.

Entities:  

Mesh:

Year:  2016        PMID: 27092389     DOI: 10.1086/684201

Source DB:  PubMed          Journal:  AJS        ISSN: 0002-9602


  6 in total

1.  The maternal body as environment in autism science.

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Journal:  Soc Stud Sci       Date:  2016-08-20       Impact factor: 3.885

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Journal:  Dev Med Child Neurol       Date:  2019-06-17       Impact factor: 5.449

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Authors:  Richard Milne
Journal:  New Genet Soc       Date:  2019-07-16

4.  Expanding boundaries in psychiatry: uncertainty in the context of diagnosis-seeking and negotiation.

Authors:  Rhiannon Lane
Journal:  Sociol Health Illn       Date:  2019-12-17

5.  Democracy underwater: public participation, technical expertise, and climate infrastructure planning in New York City.

Authors:  Malcolm Araos
Journal:  Theory Soc       Date:  2021-11-09

6.  Medicalizing risk: How experts and consumers manage uncertainty in genetic health testing.

Authors:  Meghna Mukherjee; Margaret Eby; Skyler Wang; Armando Lara-Millán; Althea Maya Earle
Journal:  PLoS One       Date:  2022-08-04       Impact factor: 3.752

  6 in total

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