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相关概念视频

Genome-wide Association Studies-GWAS01:11

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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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...
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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.
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Genetic Variation01:25

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Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles,...
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Genomics02:02

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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...
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A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
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自动GVP:一个集成ClinVar和InterVar生殖系序列变异分类的多克化工作流.

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自动化生殖系变异致病性 (AutoGVP) 是一种新的基于R的工具,使用更新的ACMG-AMP标准对生殖系测序变异进行分类. 它整合了ClinVar和InterVar数据,用于研究中大规模的临床集中变异分类.

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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:

  • 生殖系变异分类对于遗传研究和临床诊断至关重要.
  • 现有的分类大规模生殖系变异的方法可能耗时,需要最新的标准.
  • 美国医学遗传学学院-分子病理学协会 (ACMG-AMP) 提供了变种分类的指导方针.

研究的目的:

  • 开发一种自动化工具来分类生殖系测序变异.
  • 为了促进大规模的,临床集中分类的生殖系变异在研究环境.
  • 将最新的ACMG-AMP标准纳入变种分类.

主要方法:

  • 开发了自动化生殖系变异致病性 (AutoGVP),这是一个开源的R工作流.
  • 综合生殖系变异病原性注释来自ClinVar.
  • 从修改的InterVar中整合了序列变量分类,包括PVS1强度调整和PP5/BP6.6的删除.
  • 使用Docker对工作流进行容器化,以确保可访问性.

主要成果:

  • 通过AutoGVP,可以高效,大规模地对生殖系变异进行分类.
  • 该工具使用更新的ACMG-AMP标准来提高准确性.
  • 从ClinVar和修改的InterVar中整合了注释.

结论:

  • 对于需要对生殖系变异进行分类的研究人员来说,AutoGVP提供了一个宝贵的资源.
  • 该工具支持在研究环境中以临床为重点的变异解释.
  • 在GitHub上免费使用AutoGVP,促进可访问性和协作.