Taking racism into account does not mean refusing to collect and classify data in medical research according to race and ethnicity.

Taking racism into account does not mean refusing to collect and classify data in medical research according to race and ethnicity. On the contrary, those classifications provide important epidemiological information, as Risch et al. maintain, about the impact of social and environmental factors—including socio-economic inequities and cultural biases—on the health of individuals and groups. As Troy Duster argues, the way to ‘recognize, engage, and clarify the complexity of the interaction between any taxonomies of race and biological, neurophysiological, society, and health outcomes’ is to consider ‘how science studies deploy the concept of race’. The story of how biotechnology is revolutionizing medicine has put genomic research very much into public consciousness and has made genetic explanations of health disparities among individuals and especially groups the ‘default position’. Distinguishing between genomic and social and environmental factors in disease susceptibility and drug response is notoriously difficult, especially since, as Keita et al. note, ‘some environmental influences can be so subtle and occur so early in life as to be missed . . . ’. Yet, that distinction determines how researchers and practitioners understand and address the problem of health disparities. ‘Race’ and ‘ethnicity’ are very different as surrogates for genomics and for social and environmental factors in the assessment of health outcomes, which is why the larger stories in which the research is embedded are scientifically and medically as well as socially relevant.

Priscilla Wald, “Blood and stories: how genomics is rewriting race, medicine and human history,” Patterns of Prejudice, Volume 40, Numbers 4/5 (2006): 316.

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