评估开源罕见变体分析管道的功能和可用性。

IF 6.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Cristian Riccio, Max L Jansen, Felix Thalén, Georgios Koliopanos, Vivian Link, Andreas Ziegler
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引用次数: 0

摘要

对越来越大的群体进行测序,揭示了许多罕见的变异,这为进一步揭示复杂性状的遗传基础提供了机会。与常见变异相比,罕见变异的分析更为复杂。用于这些分析的专门计算工具应该既灵活又用户友好。然而,目前缺乏对可用的稀有变体分析管道及其功能的概述。在这里,我们对当前可用的罕见变体分析管道进行了系统的回顾。我们检索了MEDLINE和谷歌Scholar,直到2023年11月27日,并纳入了接受来自队列和病例对照研究的基因型数据的开源罕见变体管道,并将组变体纳入测试单元。根据功能和可用性标准评估合格的管道。我们确定了17个罕见的变体管道,它们共同支持各种性状类型、关联测试、测试单元和变体加权方案。目前,没有一个单一的管道能够以可扩展和灵活的方式处理所有数据类型。我们推荐不同的工具来满足不同的分析需求。STAARpipeline适合新手和普通应用程序,因为它为测试单元内置了定义。REGENIE具有高度可扩展性、积极维护、定期更新和良好的文档。Ravages适合分析多项变量,而OrdinalGWAS适合分析有序变量。开发提供高度灵活性和可伸缩性的用户友好管道的机会仍然存在。这样的管道将使研究人员能够利用罕见变异分析的潜力来揭示复杂性状的遗传基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of the functionality and usability of open-source rare variant analysis pipelines.

Sequencing of increasingly larger cohorts has revealed many rare variants, presenting an opportunity to further unravel the genetic basis of complex traits. Compared with common variants, rare variants are more complex to analyze. Specialized computational tools for these analyses should be both flexible and user-friendly. However, an overview of the available rare variant analysis pipelines and their functionalities is currently lacking. Here, we provide a systematic review of the currently available rare variant analysis pipelines. We searched MEDLINE and Google Scholar until 27 November 2023, and included open-source rare variant pipelines that accepted genotype data from cohort and case-control studies and group variants into testing units. Eligible pipelines were assessed based on functionality and usability criteria. We identified 17 rare variant pipelines that collectively support various trait types, association tests, testing units, and variant weighting schemes. Currently, no single pipeline can handle all data types in a scalable and flexible manner. We recommend different tools to meet diverse analysis needs. STAARpipeline is suitable for newcomers and common applications owing to its built-in definitions for the testing units. REGENIE is highly scalable, actively maintained, regularly updated, and well documented. Ravages is suitable for analyzing multinomial variables, and OrdinalGWAS is tailored for analyzing ordinal variables. Opportunities remain for developing a user-friendly pipeline that provides high degrees of flexibility and scalability. Such a pipeline would enable researchers to exploit the potential of rare variant analyses to uncover the genetic basis of complex traits.

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来源期刊
Briefings in bioinformatics
Briefings in bioinformatics 生物-生化研究方法
CiteScore
13.20
自引率
13.70%
发文量
549
审稿时长
6 months
期刊介绍: Briefings in Bioinformatics is an international journal serving as a platform for researchers and educators in the life sciences. It also appeals to mathematicians, statisticians, and computer scientists applying their expertise to biological challenges. The journal focuses on reviews tailored for users of databases and analytical tools in contemporary genetics, molecular and systems biology. It stands out by offering practical assistance and guidance to non-specialists in computerized methodologies. Covering a wide range from introductory concepts to specific protocols and analyses, the papers address bacterial, plant, fungal, animal, and human data. The journal's detailed subject areas include genetic studies of phenotypes and genotypes, mapping, DNA sequencing, expression profiling, gene expression studies, microarrays, alignment methods, protein profiles and HMMs, lipids, metabolic and signaling pathways, structure determination and function prediction, phylogenetic studies, and education and training.
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