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相关概念视频

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

13.6K
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...
13.6K
Genetic Screens02:46

Genetic Screens

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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
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
5.0K
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

15.2K
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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Genomics02:02

Genomics

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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

Incomplete Dominance

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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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Pedigree Analysis01:35

Pedigree Analysis

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Overview
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相关实验视频

Updated: Jul 16, 2025

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
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基因型模式挖掘的多线程方法,用于检测二代基因疾病基因.

Qingrun Zhang1,2, Muskan Bhatia3, Taesung Park4

  • 1Department of Mathematics and Statistics, University of Calgary, Calgary, AB, Canada.

Frontiers in genetics
|September 11, 2023
PubMed
概括

本研究介绍了Vpairs和Gpairs,这些是有效的机器学习方法,用于识别与复杂疾病相关的DNA变异对. 这些新的方法克服了记忆的局限性,使得更大数据集的分析能够改善疾病基因映射.

关键词:
基因特征 基因特征是一种基因特征.遗传关联 遗传关联 遗传关联遗传变异 遗传变异是一种遗传变异.基因型对是基因型对的一对.一个核酸的多态性.

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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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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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相关实验视频

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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.
  • 计算生物学 计算生物学

背景情况:

  • 传统的全基因组关联研究 (GWAS) 分析单个DNA变异的顺序.
  • 基因特征是由于两个变体的结合作用而产生的,单变体分析往往忽略了这些特征.
  • 对于基因特征的现有机器学习方法通常具有很高的内存要求,限制了数据集大小.

研究的目的:

  • 开发和介绍新的,计算效率高的机器学习方法来识别基因特征.
  • 克服分析大型遗传数据集的现有算法的内存限制.
  • 评估新方法的性能与既有算法对比.

主要方法:

  • 开发一种新的方法,评估所有变体和基因型对的疾病相关性.
  • 两个组件的实施:Vpairs和Gpairs.
  • 使用已发表的病例控制数据集,与已建立的算法 (如Apriori和FP增长) 进行比较.

主要成果:

  • Vpairs 和 Gpairs 方法在现有实施方案中表现出优势.
  • 适用于与年龄相关的黄斑变性和帕金森病数据集.
  • 为基因型模式构建接收器操作特征 (ROC) 曲线.

结论:

  • Vpairs 和 Gpairs 方法提供了一种更有效的方法来识别基因特征.
  • 这些方法有助于分析更大的数据集,以便全面地绘制人类基因.
  • 这种方法增强了疾病复杂遗传基础的发现.