Ethno-racial categorisations for biomedical studies : the fair selection of research participants and population stratification

2024
journal article
article
4
dc.abstract.enWe argue that there are neither scientific nor social reasons to require gathering ethno-racial data, as defined in the US legal regulations if researchers have no prior hypotheses as to how to connect this type of categorisation of human participants of clinical trials with any mechanisms that could explain alleged interracial health differences and guide treatment choice. Although we agree with the normative perspective embedded in the calls for the fair selection of participants for biomedical research, we demonstrate that current attempts to provide and elucidate the criteria for the fair selection of participants, in particular, taking into account ethno-racial categories, overlook important epistemic and normative challenges to implement the results of such race-sorting requirements. We discuss existing arguments for and against gathering ethno-racial statistics for biomedical research and present a new one that refers to the assumption that prediction is epistemically superior to accommodation. We also underline the importance of closer interaction between research ethics and the methodology of biomedicine in the case of population stratifications for medical research, which requires weighing non-epistemic values with methodological constraints.
dc.affiliationWydział Filozoficzny : Instytut Filozofii
dc.contributor.authorŻuradzki, Tomasz - 160313
dc.contributor.authorMalinowska, Joanna Karolina
dc.date.accessioned2024-10-28T10:43:04Z
dc.date.available2024-10-28T10:43:04Z
dc.date.issued2024
dc.date.openaccess0
dc.description.accesstimew momencie opublikowania
dc.description.additionalTomasz Żuradzki otrzymał dofinansowanie od Europejskiej Rady ds. Badań Naukowych (ERC) w ramach programu Program Unii Europejskiej w zakresie badań i innowacji "Horyzont 2020" (umowa nr 805498). Joanna K. Malinowska została wsparta grantem Narodowego Centrum Nauki nr UMO-2020/39/D/HS1/00636
dc.description.versionostateczna wersja wydawcy
dc.description.volume204
dc.identifier.articleid130
dc.identifier.doi10.1007/s11229-024-04769-8
dc.identifier.issn0039-7857
dc.identifier.project805498
dc.identifier.projectUMO-2020/39/D/HS1/00636
dc.identifier.urihttps://ruj.uj.edu.pl/handle/item/457862
dc.languageeng
dc.language.containereng
dc.rightsUdzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa
dc.rights.licenceCC-BY
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/legalcode.pl
dc.share.typeotwarte czasopismo
dc.source.integratorfalse
dc.subject.enclinical research
dc.subject.enrace
dc.subject.enmethodology
dc.subject.enresearch ethics
dc.subject.enreference class problem
dc.subject.ensubgroup analysis
dc.subject.enpopulation stratification
dc.subtypeArticle
dc.titleEthno-racial categorisations for biomedical studies : the fair selection of research participants and population stratification
dc.title.journalSynthese
dc.title.volume4
dc.typeJournalArticle
dspace.entity.typePublicationen
dc.abstract.en
We argue that there are neither scientific nor social reasons to require gathering ethno-racial data, as defined in the US legal regulations if researchers have no prior hypotheses as to how to connect this type of categorisation of human participants of clinical trials with any mechanisms that could explain alleged interracial health differences and guide treatment choice. Although we agree with the normative perspective embedded in the calls for the fair selection of participants for biomedical research, we demonstrate that current attempts to provide and elucidate the criteria for the fair selection of participants, in particular, taking into account ethno-racial categories, overlook important epistemic and normative challenges to implement the results of such race-sorting requirements. We discuss existing arguments for and against gathering ethno-racial statistics for biomedical research and present a new one that refers to the assumption that prediction is epistemically superior to accommodation. We also underline the importance of closer interaction between research ethics and the methodology of biomedicine in the case of population stratifications for medical research, which requires weighing non-epistemic values with methodological constraints.
dc.affiliation
Wydział Filozoficzny : Instytut Filozofii
dc.contributor.author
Żuradzki, Tomasz - 160313
dc.contributor.author
Malinowska, Joanna Karolina
dc.date.accessioned
2024-10-28T10:43:04Z
dc.date.available
2024-10-28T10:43:04Z
dc.date.issued
2024
dc.date.openaccess
0
dc.description.accesstime
w momencie opublikowania
dc.description.additional
Tomasz Żuradzki otrzymał dofinansowanie od Europejskiej Rady ds. Badań Naukowych (ERC) w ramach programu Program Unii Europejskiej w zakresie badań i innowacji "Horyzont 2020" (umowa nr 805498). Joanna K. Malinowska została wsparta grantem Narodowego Centrum Nauki nr UMO-2020/39/D/HS1/00636
dc.description.version
ostateczna wersja wydawcy
dc.description.volume
204
dc.identifier.articleid
130
dc.identifier.doi
10.1007/s11229-024-04769-8
dc.identifier.issn
0039-7857
dc.identifier.project
805498
dc.identifier.project
UMO-2020/39/D/HS1/00636
dc.identifier.uri
https://ruj.uj.edu.pl/handle/item/457862
dc.language
eng
dc.language.container
eng
dc.rights
Udzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa
dc.rights.licence
CC-BY
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/legalcode.pl
dc.share.type
otwarte czasopismo
dc.source.integrator
false
dc.subject.en
clinical research
dc.subject.en
race
dc.subject.en
methodology
dc.subject.en
research ethics
dc.subject.en
reference class problem
dc.subject.en
subgroup analysis
dc.subject.en
population stratification
dc.subtype
Article
dc.title
Ethno-racial categorisations for biomedical studies : the fair selection of research participants and population stratification
dc.title.journal
Synthese
dc.title.volume
4
dc.type
JournalArticle
dspace.entity.typeen
Publication
Affiliations

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