对转换基因组参考联盟的人类构建37的升降工具的评估,以使用ClinVar变体构建38使用ClinVar变体
Kyoung-Jin Park1, Young Ahn Yoon2, Jong-Ho Park3
1Department of Laboratory Medicine & Genetics, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon 51353, Republic of Korea.
Genes
|October 28, 2023
概括
基因组参考联盟的人类构建38 (GRCh38) 从GRCh37转换是使用提升工具非常准确的. UCSC liftOver实现了99.99%的准确性,其中失败的转换主要涉及indels/重复.
科学领域:
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
- 医学遗传学 医学遗传学
背景情况:
- 基因组参考联盟的人类构建38 (GRCh38) 提供了对GRCh37的改进,但面临着缓慢的采用.
- 提升工具通过转换基因组坐标来促进向GRCh38的过渡.
- 准确的基因组坐标转换对于临床遗传变异解释至关重要.
研究的目的:
- 评估常用的升降工具的准确性,用于将基因组坐标从GRCh37转换为GRCh38.
- 为了确定GRCh37到GRCh38基因组构建转换过程中的潜在挑战和局限性.
主要方法:
- 下载的ClinVar变种呼叫格式 (VCF) 文件用于GRCh37和GRCh38.
- 使用了CrossMap,NCBI Remap和UCSC liftOver工具进行基因组坐标转换.
- 分析了转换的准确性,并描述了那些失败的变体.
主要成果:
- 在UCSC liftOver显示的最高准确率为99.99%,其次是CrossMap (99.81%) 和NCBI Remap (99.69%).
- 索引和重复是主要的变体类型,在所有工具中都未能实现转换.
- 八种变异,包括一种致病性/可能致病性,转换失败,并位于ALMS,TTN和CFTR等基因中.
结论:
- 提升工具提供了一个高度准确的方法 (>99%) 转换ClinVar变体之间的GRCh37和GRCh38.
- 这项研究代表了GRCh38.8临床实施的基本步骤.
- 需要进一步的研究来比较提升工具的性能,并在临床环境中验证重新调整策略.
相关概念视频
Comparing Copy Number Variations and SNPs
17.7K
Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
17.7K
Sanger Sequencing
754.6K
DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
754.6K
Genome Annotation and Assembly
18.9K
The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
18.9K
Genomics
36.4K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
36.4K
Improving Translational Accuracy
11.4K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
11.4K


