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Reducing the search space for causal genetic variants with VASP

机译:使用VASP减少因果遗传变异的搜索空间

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Motivation: Increasingly, cost-effective high-throughput DNA sequencing technologies are being utilized to sequence human pedigrees to elucidate the genetic cause of a wide variety of human diseases. While numerous tools exist for variant prioritization within a single genome, the ability to concurrently analyze variants within pedigrees remains a challenge, especially should there be no prior indication of the underlying genetic cause of the disease. Here, we present a tool, variant analysis of sequenced pedigrees (VASP), a flexible data integration environment capable of producing a summary of pedigree variation, providing relevant information such as compound heterozygosity, genome phasing and disease inheritance patterns. Designed to aggregate data across a sequenced pedigree, VASP allows both powerful filtering and custom prioritization of both single nucleotide variants (SNVs) and small indels. Hence, clinical and research users with prior knowledge of a disease are able to dramatically reduce the variant search space based on a wide variety of custom prioritization criteria.
机译:动机:越来越多的成本有效的高通量DNA测序技术被用于对人的血统书进行测序,以阐明多种人类疾病的遗传原因。尽管存在许多用于在单个基因组内确定变体优先级的工具,但同时分析谱系中变体的能力仍然是一个挑战,尤其是在没有事先表明疾病潜在遗传原因的情况下。在这里,我们介绍了一种工具,序列谱系(VASP)的变异分析,一种灵活的数据集成环境,能够生成谱系变异的摘要,并提供相关信息,例如化合物杂合性,基因组定相和疾病遗传模式。 VASP旨在跨测序谱系汇总数据,可对单核苷酸变体(SNV)和小的indel进行强大的过滤和自定义优先级设置。因此,具有疾病先验知识的临床和研究用户能够根据各种自定义优先级确定标准显着减少变异搜索空间。

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