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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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Epistasis Analysis01:09

Epistasis Analysis

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Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
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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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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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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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Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
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在基因型-表型图中推断稀疏结构.

Samantha Petti1, Gautam Reddy1,2,3, Michael M Desai4

  • 1NSF-Simons Center for the Mathematical and Statistical Analysis of Biology, Harvard University, Cambridge, MA 02138, USA.

Genetics
|July 12, 2023
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概括
此摘要是机器生成的。

我们开发了一种新方法,稀疏结构发现 (SSD),以揭示多个特征背后的共享遗传架构. SSD识别了受遗传位置影响的核心生物过程,揭示了基因型-表型数据中隐藏的模式.

关键词:
基因型表型地图 基因型表型地图受到惩罚的矩阵分解.稀缺性是一种稀缺性.发现结构的发现.

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科学领域:

  • 遗传学 是一个遗传学.
  • 系统生物学 系统生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 相关个体中的表型相关性表明了共享的遗传架构.
  • 单个基因位点影响多个表型的类型是这些相关性的一个关键驱动因素.
  • 一个假设认为,类效应源于有限数量的细胞核心过程.

研究的目的:

  • 提出一种新的计算方法,用于推断基因型-表型数据中的潜在结构.
  • 为了确定核心细胞过程,这些过程是观察到的基因型-表型关系的基础.
  • 为了利用稀疏性作为揭示生物结构的指导原则.

主要方法:

  • 开发了稀疏结构发现 (SSD),一种处罚矩阵分解方法.
  • 固态硬盘 (SSD) 旨在识别低维,位置分散和/或表型分散的潜在结构.
  • 使用合成数据验证SSD并将其应用于酵母和人类细胞系的经验数据集.

主要成果:

  • 在位置或表型稀疏的条件下,SSD可以准确地恢复核心过程.
  • 对酵母和人类细胞系数据的实证应用揭示了生物学上可信的核心过程.
  • 在现有的基因型-表型数据集中证明了稀疏结构的证据.

结论:

  • 稀疏性是解决基因型-表型映射中的潜在结构的一个有价值的指导先验.
  • 拟议的SSD方法为揭示复杂特征的遗传基础提供了一个强大的框架.
  • 这种方法使我们更好地了解类型及其在生物系统中的作用.