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. 2020 Apr;29(2):282-292.
doi: 10.1002/jgc4.1263.

Enhancing inclusion of diverse populations in genomics: A competence framework

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Enhancing inclusion of diverse populations in genomics: A competence framework

Saghira M Sharif et al. J Genet Couns. 2020 Apr.

Erratum in

  • Corrigendum.
    [No authors listed] [No authors listed] J Genet Couns. 2020 Oct;29(5):877. doi: 10.1002/jgc4.1293. Epub 2020 May 27. J Genet Couns. 2020. PMID: 33015984 No abstract available.

Abstract

Genomic knowledge and technology have developed rapidly over the last decade and increased our capabilities to diagnose and manage rare diseases. However, current genomic datasets lack ethnic diversity as many genomic studies have focused on participants of white European ancestry. Studies, such as the Deciphering Developmental Disorders study, have been available to participants of any ancestry but have been unsuccessful in recruiting diverse populations. The inclusion of diverse populations in exome and genome sequencing is important to ensure that clinical benefits of genomics advances are equally shared among all populations and to advance scientific knowledge. Our clinical and research experience with the British Pakistani population (the largest ethnic minority in Yorkshire and Humber, accounting for 4.3% of the population) has fostered the development of an innovative cultural competence framework to enhance the inclusion of diverse populations in clinical genomic research and service provision. The application of this framework has the potential to guide healthcare professionals to develop a wide range of competences, so they are ready to embrace genomic advances in order to improve health outcomes for all patients. This practice model will inform precision medicine and improve access of diverse populations to genomic studies. Although based upon work with the Pakistani population in the UK, it is anticipated that the model would be broadly applicable to all underrepresented populations across the world.

Keywords: cultural competence; diversity; exome sequencing; genome sequencing; practice models; underrepresented populations.

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