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WGS 数据收集:基因组数据库如何改变医学?

WGS Data Collections: How Do Genomic Databases Transform Medicine?

机构信息

Central Clinical Hospital of Ministry of the Interior and Administration in Warsaw, 02-507 Warsaw, Poland.

Department of Biostatistics and Research Methodology, Faculty of Medicine, Collegium Medicum, Cardinal Stefan Wyszyński University in Warsaw, Wóycickiego 1/3, 01-938 Warsaw, Poland.

出版信息

Int J Mol Sci. 2023 Feb 3;24(3):3031. doi: 10.3390/ijms24033031.

Abstract

As a scientific community we assumed that exome sequencing will elucidate the basis of most heritable diseases. However, it turned out it was not the case; therefore, attention has been increasingly focused on the non-coding sequences that encompass 98% of the genome and may play an important regulatory function. The first WGS-based datasets have already been released including underrepresented populations. Although many databases contain pooled data from several cohorts, recently the importance of local databases has been highlighted. Genomic databases are not only collecting data but may also contribute to better diagnostics and therapies. They may find applications in population studies, rare diseases, oncology, pharmacogenetics, and infectious and inflammatory diseases. Further data may be analysed with Al technologies and in the context of other omics data. To exemplify their utility, we put a highlight on the Polish genome database and its practical application.

摘要

作为一个科学共同体,我们曾假设外显子组测序将阐明大多数遗传性疾病的基础。然而,事实并非如此;因此,人们越来越关注涵盖基因组 98%的非编码序列,这些序列可能发挥着重要的调控作用。第一个基于 WGS 的数据集已经发布,其中包括代表性不足的人群。尽管许多数据库包含来自多个队列的汇总数据,但最近已经强调了本地数据库的重要性。基因组数据库不仅收集数据,还可能有助于更好的诊断和治疗。它们可能在人群研究、罕见病、肿瘤学、药物遗传学以及传染病和炎症性疾病中得到应用。可以利用人工智能技术进一步分析更多数据,并结合其他组学数据进行分析。为了说明它们的实用性,我们重点介绍了波兰基因组数据库及其实际应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa18/9917848/6109164277e5/ijms-24-03031-g001.jpg

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