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    Amitava Banerjee and colleagues argue that an approach to ethnicity that more accurately considers social and behavioural determinants of health is needed to reduce health inequalities Ethnic inequalities in health and healthcare are well documented and the focus of research and quality improvement. Ethnicity is “the social group a person belongs to, and either identifies with or is identified with by others, as a result of a mix of cultural and other factors, including language, diet, religion, and geographical and ancestral origins.”1 One approach that has the potential to reduce health inequalities is precision medicine, which tailors diagnosis and treatment through analysis of genomic, environmental, and lifestyle data.2 Increasing amounts of data from healthcare records, research, pathology, imaging, and wearables are raising the potential of precision medicine.3 However, current UK ethnicity data relies on broad categories that may generalise across generations, communities, and

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