Human genetics of responses to vaccines.

IF 3.4 3区 医学 Q3 IMMUNOLOGY
Eleanor Karp-Tatham, Julian C Knight, Alexandre Bolze
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引用次数: 0

Abstract

The human response to vaccination exhibits considerable variability due to a complex interplay of heritable and environmental factors. This review examines the current understanding of the role of human genetics in vaccine responses, encompassing both rare adverse events following immunization as well as immunogenicity and efficacy . We highlight recent studies including from the COVID-19 pandemic, which provided a unique opportunity to study vaccine genetics at scale for a newly emerging infection and revealed significant associations between HLA alleles and responses to SARS-CoV-2 vaccines. Understanding genetic contributions to vaccine responses holds promise for enhancing vaccine safety and efficacy, and the development of personalized vaccination strategies.

人类对疫苗反应的遗传学。
由于遗传和环境因素的复杂相互作用,人类对疫苗接种的反应表现出相当大的变异性。本文综述了目前对人类遗传学在疫苗应答中的作用的理解,包括免疫后罕见的不良事件以及免疫原性和有效性。我们重点介绍了最近的研究,包括来自COVID-19大流行的研究,这些研究为大规模研究新出现的感染的疫苗遗传学提供了独特的机会,并揭示了HLA等位基因与对SARS-CoV-2疫苗的反应之间的显着关联。了解基因对疫苗反应的影响有望提高疫苗的安全性和有效性,并制定个性化的疫苗接种策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
8.40
自引率
2.20%
发文量
101
审稿时长
3-8 weeks
期刊介绍: Clinical & Experimental Immunology (established in 1966) is an authoritative international journal publishing high-quality research studies in translational and clinical immunology that have the potential to transform our understanding of the immunopathology of human disease and/or change clinical practice. The journal is focused on translational and clinical immunology and is among the foremost journals in this field, attracting high-quality papers from across the world. Translation is viewed as a process of applying ideas, insights and discoveries generated through scientific studies to the treatment, prevention or diagnosis of human disease. Clinical immunology has evolved as a field to encompass the application of state-of-the-art technologies such as next-generation sequencing, metagenomics and high-dimensional phenotyping to understand mechanisms that govern the outcomes of clinical trials.
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