Inequalities and Inclusion in Genomics Applied to Healthcare: A Latin American Perspective.

IF 7.7 2区 生物学 Q1 GENETICS & HEREDITY Annual review of genomics and human genetics Pub Date : 2025-01-30 DOI:10.1146/annurev-genom-111224-100329
Iscia Lopes-Cendes, Thais C de Oliveira
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引用次数: 0

Abstract

Integrating genomics into healthcare within the precision medicine (PM) framework poses distinct challenges in resource-limited regions like Latin America and the Caribbean (LAC). These challenges arise partly from the lack of PM models tailored for low- and middle-income countries. To address this, healthcare authorities in LAC should adopt predictive models to estimate costs and infrastructure needed for PM programs. The predominance of admixed populations in LAC adds complexity, given their underrepresentation in genomic studies. Establishing a robust regulatory framework is essential for managing ethical, legal, and privacy concerns related to genomic data. Despite these challenges, current regional efforts showcase the feasibility of integrating genomics in LAC and highlight the importance of expanded collaborations. By sharing data, resources, and expertise, LAC countries can overcome funding and infrastructural barriers while upholding ethical standards and data protection across the region.

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来源期刊
CiteScore
14.90
自引率
1.10%
发文量
29
期刊介绍: Since its inception in 2000, the Annual Review of Genomics and Human Genetics has been dedicated to showcasing significant developments in genomics as they pertain to human genetics and the human genome. The journal emphasizes genomic technology, genome structure and function, genetic modification, human variation and population genetics, human evolution, and various aspects of human genetic diseases, including individualized medicine.
期刊最新文献
Inequalities and Inclusion in Genomics Applied to Healthcare: A Latin American Perspective. How a Medical Student Found Himself in a Human Genome Free for All. PIK3CA-Related Disorders: From Disease Mechanism to Evidence-Based Treatments. RNA Sequencing in Disease Diagnosis. The Myriad Decision at 10.
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