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相关概念视频

Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

13.8K
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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Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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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.
GWAS does not require the identification of the target gene involved in...
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Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

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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.
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%...
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RNA Splicing01:32

RNA Splicing

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Splicing is the process by which eukaryotic RNA is edited before its translation into protein. The RNA strand transcribed from eukaryotic DNA is called the primary transcript. The primary transcripts that become mRNAs are called precursor messenger RNAs (pre-mRNAs). Eukaryotic pre-mRNA contains alternating sequences of exons and introns. Exons are nucleotide sequences that code for proteins, whereas introns are the non-coding regions. In RNA splicing, introns are removed and exons are bonded...
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相关实验视频

Updated: May 23, 2025

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
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数据驱动的洞察力,以告知拼接改变变种评估的信息.

Patricia J Sullivan1, Julian M W Quinn2, Pamela Ajuyah3

  • 1Children's Cancer Institute, Lowy Cancer Research Centre, UNSW Sydney, Sydney, NSW, Australia; School of Clinical Medicine, UNSW Medicine & Health, UNSW Sydney, Sydney, NSW, Australia; University of New South Wales Centre for Childhood Cancer Research, UNSW Sydney, Sydney, NSW, Australia.

American journal of human genetics
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PubMed
概括

这项研究引入了数据驱动的启发式解释人类拼接改变变体 (SAVs),提高对影响mRNA拼接的遗传变体的理解. 这些基于证据的工具增强了超越传统二进制预测的变量评估.

关键词:
通过RNA拼接进行RNA拼接.癌症基因组学 癌症基因组学临床基因组学 临床基因组学基因组学就是基因组学.医学基因组学医学基因组学这是下一代测序.个性化医疗是个性化的医疗.拼接改变变体的变体变种分类的变种分类.进行全基因组测序.

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科学领域:

  • 遗传学 遗传学 是一个
  • 分子生物学分子生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 遗传变异可以破坏mRNA拼接,这是一个复杂的过程.
  • 准确预测变异对拼接的影响,尤其是拼接地点以外的变异,是具有挑战性的.

研究的目的:

  • 开发数据驱动的启发式方法来解释人类拼接改变变体 (SAV).
  • 改进SAVs的识别和功能评估.
  • 为了弥合计算预测和拼接生物学之间的差距.

主要方法:

  • 分析了约20万2千个正规外型和19000个验证的拼接分支点,以定义拼接标准.
  • 利用来自SpliceVarDB的超过12,000个经过实验验证的变体来建立启发式.
  • 开发了一种基于变异对特定位置或动机的影响的"结合性"测量方法.

主要成果:

  • 已定义的序列,间距和图案强度标准,已满足95.9%的检查过的外型.
  • 已建立的启发式支持至少10个验证的变体,以进行可靠的评估.
  • 量化拼接致病性,以评估变体在环境中的影响.

结论:

  • 开发的启发式提供了一个基于证据的方法来识别和评估SAV.
  • 这种方法通过详细的,背景感知分析来增强遗传变异评估框架.
  • 与二进制预测工具相比,更全面地了解拼接变量影响.