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相关概念视频

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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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.
GWAS does not require the identification of the target gene involved in...
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What is Population Genetics?01:25

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A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.
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Evolutionary Relationships through Genome Comparisons02:54

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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

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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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Genetic Variation01:25

Genetic Variation

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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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相关实验视频

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Rare Event Detection Using Error-corrected DNA and RNA Sequencing
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一个概率图形模型,用于估计从人类人口序列数据中非同义变异的选择系数.

Yige Zhao1,2, Tian Lan1, Guojie Zhong1,2

  • 1Department of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032.

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概括

我们开发了MisFit,一种新的方法来预测误解变体的健身效应. MisFit准确地估计了变体的影响,改善了疾病基因发现和遗传诊断.

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科学领域:

  • 基因组学就是基因组学.
  • 人口遗传学 人口遗传学
  • 计算生物学 计算生物学

背景情况:

  • 预测误解变异效应对于识别疾病基因和临床诊断至关重要.
  • 目前的方法经常预测病原性,但不能预测人类的定量健康影响.

研究的目的:

  • 开发一种新的计算方法,MisFit,用于估计误解变量健身效应.
  • 共同建模误解变异的分子和人口层面影响.

主要方法:

  • 开发了MisFit,一种图形模型方法.
  • 使用来自236,017名欧洲个体的等位基因计数,训练有素的MisFit.
  • 模拟分子效应 (d) 和选择系数 (s),假设相似的d在基因内意味着相似的s.

主要成果:

  • 由MisFit预测的选择系数有效地预测了祖先之间的等位基因频率.
  • 预测的s与强烈选择的地点中新突变的比例保持一致.
  • 在神经发育障碍病例中,MisFit的S优于现有的方法,优先考虑新的错误变异.

结论:

  • MisFit提供了错误变量选择系数的准确预测.
  • 该方法为基因组数据分析提供了新的见解.
  • MisFit可以提高引起疾病的变异的优先级,特别是在神经发育障碍中.