ArticleBioSocieties2015
Pharmacogenomics, human genetic diversity and the incorporation and rejection of color/race in Brazil.
Article in BioSocieties, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Genetic Variation among Pharmacogenes in the Sardinian Population.International journal of molecular sciences · 2022Article
- Thrombotic microangiopathy after kidney transplantation: Analysis of the Brazilian Atypical Hemolytic Uremic Syndrome cohort.PloS one · 2021Article
- Skin Color and Severe Maternal Outcomes: Evidence from the Brazilian Network for Surveillance of Severe Maternal Morbidity.BioMed research international · 2019Article
- Genetic Association of the PERIOD3 (Per3) Clock Gene with Bipolar Disorder.Psychiatry investigation · 2017Article
- Entangled local biologies: genetic risk, bodies and inequities in Brazilian cancer genetics.Anthropology & medicine · 2017Article
- Within and beyond the communal turn to informed consent in industry-sponsored pharmacogenetics research: merits and challenges of community advisory boards.Journal of community genetics · 2016Review
- Translating Population Difference: The Use and Re-Use of Genetic Ancestry in Brazilian Cancer Genetics.Medical anthropology · 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
3 authors.
Funding
Abstract
Public funding for research on the action of drugs in countries like the United States requires that racial classification of research subjects should be considered when defining the composition of the samples as well as in data analysis, sometimes resulting in interpretations that Whites and Blacks differ in their pharmacogenetic profiles. In Brazil, pharmacogenomic results have led to very different interpretations when compared with those obtained in the United States. This is explained as deriving from the genomic heterogeneity of the Brazilian population. This article argues that in the evolving field of pharmacogenomics research in Brazil there is simultaneously both an incorporation and rejection of the US informed race-genes paradigm. We suggest that this must be understood in relation to continuities with national and transnational history of genetic research in Brazil, a differently situated politics of Brazilian public health and the ongoing valorization of miscegenation or race mixture by Brazilian geneticists as a resource for transnational genetic research. Our data derive from anthropological investigation conducted in INCA (Brazilian National Cancer Institute), in Rio de Janeiro, with a focus on the drug warfarin. The criticism of Brazilian scientists regarding the uses of racial categorization includes a revision of mathematical algorithms for drug dosage widely used in clinical procedures around the world. Our analysis reveals how the incorporation of ideas of racial purity and admixture, as it relates to the efficacy of drugs, touches on issues related to the possibility of application of pharmaceutical technologies on a global scale.
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Identifiers
What OpenQuestion holds
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.