Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; email:
Malawi Epidemiology and Intervention Research Unit, Lilongwe, Malawi.
Annu Rev Biomed Data Sci. 2024 Aug;7(1):277-294. doi: 10.1146/annurev-biodatasci-020722-015026.
Building longitudinal population cohorts in Africa for coordinated research and surveillance can influence the setting of national health priorities, lead to the introduction of appropriate interventions, and provide evidence for targeted treatment, leading to better health across the continent. However, compared to cohorts from the global north, longitudinal continental African population cohorts remain scarce, are relatively small in size, and lack data complexity. As infections and noncommunicable diseases disproportionately affect Africa's approximately 1.4 billion inhabitants, African cohorts present a unique opportunity for research and surveillance. High genetic diversity in African populations and multiomic research studies, together with detailed phenotyping and clinical profiling, will be a treasure trove for discovery. The outcomes, including novel drug targets, biological pathways for disease, and gene-environment interactions, will boost precision medicine approaches, not only in Africa but across the globe.
在非洲建立纵向人群队列进行协调研究和监测,可以影响国家卫生重点的制定,促使引入适当的干预措施,并为有针对性的治疗提供证据,从而改善整个非洲大陆的健康状况。然而,与来自全球北方的队列相比,纵向的非洲大陆人群队列仍然很少,规模相对较小,并且缺乏数据复杂性。由于传染病和非传染性疾病不成比例地影响着非洲约 14 亿居民,非洲队列为研究和监测提供了独特的机会。非洲人群的高度遗传多样性和多组学研究,加上详细的表型和临床分析,将成为发现的宝库。这些结果,包括新的药物靶点、疾病的生物学途径以及基因-环境相互作用,将不仅在非洲,而且在全球范围内推动精准医学方法的发展。