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Genome maps across 26 human populations reveal population-specific patterns of structural variation

机译:覆盖26个人群的基因组图谱揭示了特定人群的结构变异模式

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摘要

Large structural variants (SVs) in the human genome are difficult to detect and study by conventional sequencing technologies. With long-range genome analysis platforms, such as optical mapping, one can identify large SVs (>2 kb) across the genome in one experiment. Analyzing optical genome maps of 154 individuals from the 26 populations sequenced in the 1000 Genomes Project, we find that phylogenetic population patterns of large SVs are similar to those of single nucleotide variations in 86% of the human genome, while ~2% of the genome has high structural complexity. We are able to characterize SVs in many intractable regions of the genome, including segmental duplications and subtelomeric, pericentromeric, and acrocentric areas. In addition, we discover ~60 Mb of non-redundant genome content missing in the reference genome sequence assembly. Our results highlight the need for a comprehensive set of alternate haplotypes from different populations to represent SV patterns in the genome.
机译:人类基因组中的大型结构变异(SVs)难以通过常规测序技术进行检测和研究。使用远程基因组分析平台(例如光学作图),可以在一项实验中跨基因组识别大型SV(> 2skb)。在1000个基因组计划中对来自26个种群的154个个体的光学基因组图进行了分析,我们发现大型SV的系统发生种群模式与人类基因组中86%的单核苷酸变异相似,而基因组的〜2%具有较高的结构复杂性。我们能够表征基因组许多难处理区域中的SV,包括节段重复和亚端粒,着丝粒和近端中心区域。此外,我们发现参考基因组序列装配中缺少〜60 Mb的非冗余基因组含量。我们的结果强调了需要一套来自不同种群的完整单倍型的完整集合,以代表基因组中的SV模式。

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