标准化
命名法
生态系统
计算生物学
进化生物学
环境资源管理
生物
环境伦理学
生态学
计算机科学
环境科学
分类学(生物学)
哲学
操作系统
作者
Laura K. Conlin,Melissa Landrum,Robert R. Freimuth,Birgit Funke
出处
期刊:Clinical Chemistry
[American Association for Clinical Chemistry]
日期:2025-01-01
卷期号:71 (1): 45-53
标识
DOI:10.1093/clinchem/hvae195
摘要
Abstract Background Genetic testing has traditionally been divided into molecular genetics and cytogenetics, originally driven by the use of different assays and their associated limitations. Cytogenetic technologies such as karyotyping, fluorescent in situ hybridization or chromosomal microarrays are used to detect large “megabase level” copy number variants and other structural variants such as inversions or translocations. In contrast, molecular methodologies are heavily biased toward subgenic “small variants” such as single nucleotide variants, insertions/deletions, and targeted detection of intragenic, exon level deletions or duplications. The boundaries between these approaches are now increasingly blurred as next-generation sequencing technologies and their use for genome-wide analysis are used by both disciplines, therefore eliminating the historic and somewhat artificial separation driven by variant type. Content This review discusses the history of genomic nomenclature across both fields, summarizes implementation challenges for the clinical genetics community, and identifies key considerations for enabling a seamless connection of the stakeholders that consume variant descriptions. Summary Standardization is naturally a lengthy and complex process that requires consensus building between different stakeholders. Developing a standard that not only fits the multitude of needs across the entities that consume genetic variant information but also works equally well for all genetic variant types is an ambitious goal that calls for revisiting this vision.
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