跨人群应用基因组学来了解涉及炎症和免疫的多因素特征的风险。

Cambridge prisms, Precision medicine Pub Date : 2024-01-31 eCollection Date: 2024-01-01 DOI:10.1017/pcm.2023.25
Bana Alamad, Kate Elliott, Julian C Knight
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引用次数: 0

摘要

遗传和环境因素之间的相互作用在免疫和炎症反应的个体差异中起着重要作用。高通量、低成本基因分型技术和新一代测序技术的出现,彻底改变了我们识别人类基因变异、了解其在人群内部和人群之间如何变化以及与疾病之间关系的能力。在这篇综述中,我们探讨了基因组学造福患者的潜力,特别是在炎症和免疫相关疾病的诊断、预后和治疗方面。我们总结了从基因和功能基因组学方法中获得的知识,以及个性化医疗的机遇。综述涵盖了在传染病、罕见免疫缺陷和自身免疫性疾病中的应用,说明了在诊断和了解风险方面取得的进展,包括多基因风险评分的使用。我们进一步探讨了患者分层和药物靶点优先排序的应用。综述强调了该领域面临的一个主要挑战,即基因组研究中缺乏对不同基因人群的充分代表。目前,这限制了基于基因的诊断和基于风险的应用在非高加索人群中的临床实用性。我们将重点介绍当前的基因组项目、倡议和来自不同人群的生物库,以及如何通过提高我们对疾病遗传易感性以及疟疾和结核病等区域性病原体的认识来改善全球的医疗保健。介绍了个性化医疗和基因组学在医疗保健领域更广泛应用的未来方向和机遇,以造福全球患者和人口。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cross-population applications of genomics to understand the risk of multifactorial traits involving inflammation and immunity.

The interplay between genetic and environmental factors plays a significant role in interindividual variation in immune and inflammatory responses. The availability of high-throughput low-cost genotyping and next-generation sequencing has revolutionized our ability to identify human genetic variation and understand how this varies within and between populations, and the relationship with disease. In this review, we explore the potential of genomics for patient benefit, specifically in the diagnosis, prognosis and treatment of inflammatory and immune-related diseases. We summarize the knowledge arising from genetic and functional genomic approaches, and the opportunity for personalized medicine. The review covers applications in infectious diseases, rare immunodeficiencies and autoimmune diseases, illustrating advances in diagnosis and understanding risk including use of polygenic risk scores. We further explore the application for patient stratification and drug target prioritization. The review highlights a key challenge to the field arising from the lack of sufficient representation of genetically diverse populations in genomic studies. This currently limits the clinical utility of genetic-based diagnostic and risk-based applications in non-Caucasian populations. We highlight current genome projects, initiatives and biobanks from diverse populations and how this is being used to improve healthcare globally by improving our understanding of genetic susceptibility to diseases and regional pathogens such as malaria and tuberculosis. Future directions and opportunities for personalized medicine and wider application of genomics in health care are described, for the benefit of individual patients and populations worldwide.

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