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Stigma in African genomics research: Gendered blame, polygamy, ancestry and disease causal beliefs impact on the risk of harm

A recurring concern in genomics research is the possibility that it could lead to stigma for participants, their families and the population groups they belong to. Little evidence exists to explain how and when this ought to be a concern in genomics research in Africa whilst there is growing interna...

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Detalles Bibliográficos
Autores principales: de Vries, Jantina, Landouré, Guida, Wonkam, Ambroise
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7396479/
https://www.ncbi.nlm.nih.gov/pubmed/32521416
http://dx.doi.org/10.1016/j.socscimed.2020.113091
Descripción
Sumario:A recurring concern in genomics research is the possibility that it could lead to stigma for participants, their families and the population groups they belong to. Little evidence exists to explain how and when this ought to be a concern in genomics research in Africa whilst there is growing international evidence drawing into question the direct link between stigma and genetics. In this paper, we interrogate practical instances from African genomics research where stigma was identified as a concern in an attempt to nuance and refine accounts of when stigma should be considered as an ethical issue. The paper describes examples involving gendered blame, polygamy, beliefs in supernatural disease causation and sensitive information about group lineage. We propose that the concern may not be about stigma so much as broader research-related harm, including for instance reputational harm to population groups. Furthermore, we propose to shift the analytical gaze from establishing causal relationships to exploring the intersection of genomics with pre-existing stigma. Finally, we emphasize the importance of ensuring genomics researchers are culturally competent, meaning able to recognise when cultural factors impact on the possibility that genomics research could cause harm.