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相关概念视频

Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

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Gene Evolution - Fast or Slow?02:05

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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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Background and Environment Affect Phenotype02:27

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Although the genetic makeup of an organism plays a major role in determining the phenotype, there are also several environmental factors, such as temperature, oxygen availability, presence of mutagens, that can alter an organism’s phenotype.
An example of how genetic background affects phenotype can be seen in horses. The Extension gene in horses is responsible for their coat color. A wild-type gene (EE) produces black pigment in the coat, while a mutant gene (ee) produces red pigment. A...
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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
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Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.
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Pleiotropy is the phenomenon in which a single gene impacts multiple, seemingly unrelated phenotypic traits. For example, defects in the SOX10 gene cause Waardenburg Syndrome Type 4, or WS4, which can cause defects in pigmentation, hearing impairments, and an absence of intestinal contractions necessary for elimination. This diversity of phenotypes results from the expression pattern of SOX10 in early embryonic and fetal development. SOX10 is found in neural crest cells that form melanocytes,...
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相关实验视频

Updated: Feb 24, 2026

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
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Het2Gene:一种由表型驱动的模型,通过异质图嵌入来对基因进行优先排序.

Buchao Zhan1, Xin Yang1, Dongmei He1

  • 1School of Computer Science and Technology, Hainan University, Hainan, 570228, China.

Computers in biology and medicine
|February 22, 2026
PubMed
概括

识别引起疾病的基因至关重要. 一个新的框架,Het2Gene,通过考虑网络信息和疾病频率来改善从测序数据中基因优先级.

关键词:
疾病的诊断 疾病的诊断图表机器学习 图表机器学习异质网络是异质的网络.人类现象型本体学 (HPO)

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科学领域:

  • 基因组学就是基因组学.
  • 计算生物学 计算生物学
  • 医学遗传学 医学遗传学

背景情况:

  • 门德尔遗传疾病是一个重大的全球卫生挑战.
  • 准确识别致病基因对于有效治疗和疾病管理至关重要.
  • 目前使用下一代测序 (NGS) 数据的诊断方法往往耗时,并且在确定因果基因方面存在局限性.

研究的目的:

  • 开发一种新的计算框架,Het2Gene,以提高与孟德尔遗传疾病有关的候选基因的优先级.
  • 解决现有的表型驱动模型的局限性,特别是它们忽视了生物网络异质性和现实世界的临床病例频率.

主要方法:

  • 提出 Het2Gene,一个使用重量感知 Meta-path2Vec 算法的框架,用于从异质生物网络中学习表型基因嵌入.
  • 由临床病例数据指导生成异质的随机步行路径,动态分配适应权重以优先考虑生物学相关的关系.
  • 采用一种新的方法来整合异质网络信息和疾病流行数据,以改善候选基因排名.

主要成果:

  • Het2Gene在因果基因优先排序方面表现出优异的表现,与基准数据集上的现有最先进模型相比.
  • 该框架表现出强大的跨数据集概括能力.
  • 对基因分数的分析表明,Het2Gene有潜力发现新的基因疾病关联.

结论:

  • Het2Gene在识别致病基因的计算方法方面取得了重大进展.
  • 该框架有效地利用异质网络信息和临床病例数据,以便更准确地确定基因优先级.
  • Het2Gene在加速遗传疾病诊断和潜在地发现与疾病的新遗传联系方面表现有前途.