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相关概念视频

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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Nonsense-mediated mRNA Decay02:27

Nonsense-mediated mRNA Decay

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The Upf proteins that carry out nonsense-mediated decay (NMD) are found in all eukaryotic organisms, including humans. Each protein has an individual role, but they need to work in collaboration. Upf1 is an ATP-dependent RNA helicase that unwinds the RNA helix. Because Upf1 can unwind any RNA, Upf2 and Upf3 are required to help Upf1 discriminate between nonsense and normal mRNAs.
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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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Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
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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.
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Human Genetics01:28

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Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
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相关实验视频

Updated: Mar 13, 2026

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
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Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

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CDsyn:对于有害的人类同名变异预测的综合数据库.

Bing Zeng1,2,3,4, Ning An3,4, Siting Zhou1,2

  • 1Aier Academy of Ophthalmology, Central South University, No. 188, Furong South Road, Tianxin District, Changsha, Hunan 410004, P.R. China.

iScience
|March 12, 2026
PubMed
概括
此摘要是机器生成的。

同义词的变化显著影响人类疾病. 一个新的数据库,CDsyn,有助于预测有害的同名变体,改善疾病理解和临床变体优先级.

关键词:
生物数据库生物数据库基因组分析基因组分析数学生物科学数学生物科学序列分析分析的序列分析.

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科学领域:

  • 遗传学 是一个遗传学.
  • 生物信息学是一种生物信息学.
  • 基因组医学是基因组医学.

背景情况:

  • 同义变异在历史上被低估了它们在疾病中的作用.
  • 新出现的证据突出了它们对基因调节和人类疾病的重大影响.

研究的目的:

  • 开发一个全面的数据库 (CDsyn) 来预测有害的同名变异.
  • 评估同名变异的意义和疾病相关性.
  • 提高对人类疾病同义变异的理解.

主要方法:

  • CDsyn集成了六个数据类别:预测得分,保存,翻译效率,序列,人口频率和注释.
  • 强调拼接突变预测得分,以识别致病同义突变.
  • 使用CDsyn.syn.开发一种用于同名变异的病原性预测算法.

主要成果:

  • 这种CDsyn综合方法的性能优于现有的数据库 (SynMICdb,dbDSM) 和工具 (InterVar).
  • 证明了拼接突变预测在识别致病变异的有效性.
  • 验证了基于CDsyn的病原性预测算法的可行性.

结论:

  • CDsyn 作为一个有价值的资源,用于在临床测序中优先考虑有害变异.
  • 强调了同名变异在人类疾病中的关键作用.
  • 提高同义变异分析的理解和临床实用性.