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人类泛基因组学:分布式基因组参考的前景与挑战

Human Pangenomics: Promises and Challenges of a Distributed Genomic Reference.

作者信息

Abondio Paolo, Cilli Elisabetta, Luiselli Donata

机构信息

Laboratory of Ancient DNA, Department of Cultural Heritage, University of Bologna, Via degli Ariani 1, 48121 Ravenna, Italy.

出版信息

Life (Basel). 2023 Jun 9;13(6):1360. doi: 10.3390/life13061360.

DOI:10.3390/life13061360
PMID:37374141
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10304804/
Abstract

A pangenome is a collection of the common and unique genomes that are present in a given species. It combines the genetic information of all the genomes sampled, resulting in a large and diverse range of genetic material. Pangenomic analysis offers several advantages compared to traditional genomic research. For example, a pangenome is not bound by the physical constraints of a single genome, so it can capture more genetic variability. Thanks to the introduction of the concept of pangenome, it is possible to use exceedingly detailed sequence data to study the evolutionary history of two different species, or how populations within a species differ genetically. In the wake of the Human Pangenome Project, this review aims at discussing the advantages of the pangenome around human genetic variation, which are then framed around how pangenomic data can inform population genetics, phylogenetics, and public health policy by providing insights into the genetic basis of diseases or determining personalized treatments, targeting the specific genetic profile of an individual. Moreover, technical limitations, ethical concerns, and legal considerations are discussed.

摘要

泛基因组是给定物种中存在的常见和独特基因组的集合。它整合了所有采样基因组的遗传信息,从而产生了大量多样的遗传物质。与传统基因组研究相比,泛基因组分析具有若干优势。例如,泛基因组不受单个基因组物理限制的约束,因此能够捕获更多的遗传变异性。由于泛基因组概念的引入,可以使用极其详细的序列数据来研究两个不同物种的进化历史,或者一个物种内的种群在基因上如何不同。随着人类泛基因组计划的开展,本综述旨在讨论围绕人类遗传变异的泛基因组优势,这些优势随后围绕泛基因组数据如何通过深入了解疾病的遗传基础或确定个性化治疗方法(针对个体的特定基因特征)来为群体遗传学、系统发育学和公共卫生政策提供信息展开。此外,还讨论了技术限制、伦理问题和法律考量。

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Limitations and advantages of using metabolite-based genome-wide association studies: Focus on fruit quality traits.基于代谢物的全基因组关联研究的局限性和优势:以果实品质性状为重点。
Plant Sci. 2023 Aug;333:111748. doi: 10.1016/j.plantsci.2023.111748. Epub 2023 May 23.
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Emerging organoid-immune co-culture models for cancer research: from oncoimmunology to personalized immunotherapies.
长读长基因组分析指南
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Shared and unique patterns of autonomous human endogenous retrovirus loci transcriptomes in CD14 + monocytes from individuals with physical trauma or infection with COVID-19.在经历躯体创伤或感染 COVID-19 的个体的 CD14+单核细胞中,自主人内源性逆转录病毒基因座转录组具有共享和独特的模式。
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GWAS advancements to investigate disease associations and biological mechanisms.全基因组关联研究(GWAS)在探究疾病关联和生物学机制方面的进展。
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Annu Rev Genomics Hum Genet. 2024 Aug;25(1):77-104. doi: 10.1146/annurev-genom-021623-081639. Epub 2024 Aug 6.
新兴的类器官-免疫共培养模型在癌症研究中的应用:从肿瘤免疫学到个体化免疫治疗。
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R I Med J (2013). 2023 Jun 1;106(5):12-17.
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