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在临床实践中实施全基因组测序(WGS):优势、挑战和未来展望。

Implementing Whole Genome Sequencing (WGS) in Clinical Practice: Advantages, Challenges, and Future Perspectives.

机构信息

St. Catherine Specialty Hospital, 10000 Zagreb, Croatia.

International Center for Applied Biological Research, 10000 Zagreb, Croatia.

出版信息

Cells. 2024 Mar 13;13(6):504. doi: 10.3390/cells13060504.

Abstract

The integration of whole genome sequencing (WGS) into all aspects of modern medicine represents the next step in the evolution of healthcare. Using this technology, scientists and physicians can observe the entire human genome comprehensively, generating a plethora of new sequencing data. Modern computational analysis entails advanced algorithms for variant detection, as well as complex models for classification. Data science and machine learning play a crucial role in the processing and interpretation of results, using enormous databases and statistics to discover new and support current genotype-phenotype correlations. In clinical practice, this technology has greatly enabled the development of personalized medicine, approaching each patient individually and in accordance with their genetic and biochemical profile. The most propulsive areas include rare disease genomics, oncogenomics, pharmacogenomics, neonatal screening, and infectious disease genomics. Another crucial application of WGS lies in the field of multi-omics, working towards the complete integration of human biomolecular data. Further technological development of sequencing technologies has led to the birth of third and fourth-generation sequencing, which include long-read sequencing, single-cell genomics, and nanopore sequencing. These technologies, alongside their continued implementation into medical research and practice, show great promise for the future of the field of medicine.

摘要

将全基因组测序(WGS)整合到现代医学的各个方面代表了医疗保健发展的下一步。利用这项技术,科学家和医生可以全面观察人类的整个基因组,产生大量新的测序数据。现代计算分析需要用于变体检测的高级算法,以及用于分类的复杂模型。数据科学和机器学习在处理和解释结果方面发挥着至关重要的作用,利用庞大的数据库和统计学来发现新的和支持当前基因型-表型相关性。在临床实践中,这项技术极大地推动了个性化医学的发展,针对每个患者进行个体化治疗,并根据他们的遗传和生化特征进行治疗。最具推动性的领域包括罕见病基因组学、肿瘤基因组学、药物基因组学、新生儿筛查和传染病基因组学。WGS 的另一个重要应用在于多组学领域,致力于全面整合人类生物分子数据。测序技术的进一步技术发展催生了第三代和第四代测序技术,包括长读测序、单细胞基因组学和纳米孔测序。这些技术以及它们在医学研究和实践中的持续应用,为医学领域的未来带来了巨大的希望。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ceff/10969765/024f881ab0e1/cells-13-00504-g001.jpg

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