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串联重复序列中小的和大的基因组变异的分析与基准测试。

Analysis and benchmarking of small and large genomic variants across tandem repeats.

作者信息

English Adam C, Dolzhenko Egor, Ziaei Jam Helyaneh, McKenzie Sean K, Olson Nathan D, De Coster Wouter, Park Jonghun, Gu Bida, Wagner Justin, Eberle Michael A, Gymrek Melissa, Chaisson Mark J P, Zook Justin M, Sedlazeck Fritz J

机构信息

Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.

Pacific Biosciences of California, Menlo Park, CA, USA.

出版信息

Nat Biotechnol. 2025 Mar;43(3):431-442. doi: 10.1038/s41587-024-02225-z. Epub 2024 Apr 26.

Abstract

Tandem repeats (TRs) are highly polymorphic in the human genome, have thousands of associated molecular traits and are linked to over 60 disease phenotypes. However, they are often excluded from at-scale studies because of challenges with variant calling and representation, as well as a lack of a genome-wide standard. Here, to promote the development of TR methods, we created a catalog of TR regions and explored TR properties across 86 haplotype-resolved long-read human assemblies. We curated variants from the Genome in a Bottle (GIAB) HG002 individual to create a TR dataset to benchmark existing and future TR analysis methods. We also present an improved variant comparison method that handles variants greater than 4 bp in length and varying allelic representation. The 8.1% of the genome covered by the TR catalog holds ~24.9% of variants per individual, including 124,728 small and 17,988 large variants for the GIAB HG002 'truth-set' TR benchmark. We demonstrate the utility of this pipeline across short-read and long-read technologies.

摘要

串联重复序列(TRs)在人类基因组中具有高度多态性,具有数千种相关分子特征,并与60多种疾病表型相关。然而,由于变异检测和表示方面的挑战,以及缺乏全基因组标准,它们在大规模研究中常常被排除在外。在这里,为了促进TR方法的发展,我们创建了一个TR区域目录,并在86个单倍型解析的长读长人类基因组组装中探索了TR特性。我们整理了来自“瓶中基因组”(GIAB)HG002个体的变异,以创建一个TR数据集,用于对现有和未来的TR分析方法进行基准测试。我们还提出了一种改进的变异比较方法,该方法可处理长度大于4bp且等位基因表示不同的变异。TR目录覆盖的8.1%的基因组中,每个个体约有24.9%的变异,包括GIAB HG002“真值集”TR基准测试中的124728个小变异和17988个大变异。我们展示了该流程在短读长和长读长技术中的实用性。

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