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相关概念视频

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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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Incomplete Dominance01:43

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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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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
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使用多尺度基因组学来将注释差的基因与罕见疾病联系起来.

Christina Canavati1,2, Dana Sherill-Rofe1, Lara Kamal2,3

  • 1Department of Developmental Biology and Cancer Research, Institute of Medical Research - Israel-Canada, The Hebrew University of Jerusalem, Jerusalem, 9112102, Israel.

Genome medicine
|January 4, 2024
PubMed
概括

EvORanker是一种新的算法,使用基因组数据将突变基因与临床表型联系起来. 它准确地识别疾病基因,特别是那些注释不良的基因,有助于诊断遗传疾病.

关键词:
这就是DLGAP2的意义.这是一个evORanker.基于基因的优先级排序.在LPCAT3中使用LPCAT3.

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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
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科学领域:

  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学

背景情况:

  • 下一代测序 (NGS) 已经推进了遗传疾病研究,但却让许多患者无法诊断.
  • 未被诊断的病例源于新型疾病基因中难以检测的变异和突变.
  • 识别致病基因需要复杂的分析工具.

研究的目的:

  • 介绍EvORanker,一种将突变基因与临床表型联系起来的算法.
  • 通过优先考虑候选疾病基因来改善遗传疾病的诊断.
  • 为基因优先排序提供一个用户友好的网络工具.

主要方法:

  • EvORanker集成了临床数据,多尺度的遗传学概况和omics数据.
  • 该算法使用已解决的外体和模拟的基因组进行了验证.
  • 进行了与现有方法进行比较分析.

主要成果:

  • EvORanker在69%的顶级候选人和95%的前5名中确定了正确的疾病基因.
  • 与现有的方法相比,该算法对标注不良的基因表现出了卓越的性能.
  • EvORanker成功地在以前未解决的遗传综合征中确定了候选基因.

结论:

  • 基层基因基因分析是优先考虑疾病基因的有效策略.
  • EvORanker在将标注不良的基因与患者表型联系起来方面表现出高效率.
  • 该 EvORanker 网络工具是公开可访问的,用于研究.