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相关概念视频

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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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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The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
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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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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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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
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从密集的SNP数据中推断远距离关系,使用两个家谱算法.

Xinyi Lin1,2, Shuang Han1,2, Nan Zhang1

  • 1Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, P. R. China.

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概括

调查性遗传谱系 (IGG) 可以使用DNA识别远方亲属. 这项研究验证了低质量的法医样本的IGG算法,通过优化数据过来提高亲属推断的准确性.

关键词:
遗传学算法的算法 遗传学算法遗传遗传学 遗传家谱 遗传学基因类型的归算 基因类型的归算亲属关系分析 亲属关系分析大规模并行测序.

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科学领域:

  • 法医科学 法医科学 法医科学
  • 遗传学 遗传学 是一个
  • 生物信息学是一种生物信息学.

背景情况:

  • 调查性遗传谱系 (IGG) 对于法医鉴定和灾难受害者遗骸至关重要.
  • 下一代测序能够通过数百万个SNP来推断亲属关系.
  • 挑战包括样品质量差,成本高以及隐私问题.

研究的目的:

  • 使用IGG算法验证至第七度的亲属身份.
  • 探索低质量和低覆盖率的法医DNA样本的工作流程.
  • 评估网站过对亲属推断准确性的影响.

主要方法:

  • 来自两个中国南方汉族血统的全基因组测序数据.
  • 低采样高覆盖率数据以模拟低覆盖率样本.
  • 使用具有多种参数设置的IBIS和KING家谱算法.
  • 准备模拟SNP数组数据以进行可访问性比较.

主要成果:

  • 对于低覆盖率样本,有效的亲属身份识别到第七度.
  • 证明了选定的处理程序和推理工具的适用性.
  • 展示了战略站点过显著提高了亲属身份识别准确度.
  • 证实了SNP数组数据的实用性,作为一个更容易访问的参考.

结论:

  • 选择的IGG算法和工作流程对于低质量的法医DNA是有效的.
  • 网站过策略对于提高亲属推理准确度至关重要.
  • 需要进一步的系统研究来巩固这些发现的法医应用.