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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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Pleiotropy01:33

Pleiotropy

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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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Gene Duplication and Divergence02:37

Gene Duplication and Divergence

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The seminal work of Ohno in 1970 popularized the idea of gene duplication and divergence. DNA sequence comparison studies reveal that a large portion of the genes in bacteria, archaebacteria, and eukaryotes was  generated by gene duplication and divergence, indicating its critical role in evolution.
The duplicated copies of the gene are called Paralogs. Paralogs with similar sequences and functions form a gene family. Across several species, a large number of gene families are...
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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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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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Multiple Allele Traits01:49

Multiple Allele Traits

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The Concept of Multiple Allelism
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相关实验视频

Updated: Jul 16, 2025

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
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深度多个实例学习准确地预测了基因哈普洛缺陷和删除致病性.

Zhihan Liu1,2,3, Yi-Fei Huang1,3

  • 1Department of Biology, Pennsylvania State University, University Park, PA 16802, USA.

bioRxiv : the preprint server for biology
|September 11, 2023
PubMed
概括

DosaCNV通过整合基因顺序缺陷来预测引起遗传疾病的致病性缺失. 这种深度学习框架提高了识别致病拷贝数丢失的准确性.

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In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
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科学领域:

  • 遗传学和基因组学 遗传学和基因组学
  • 计算生物学是一种计算生物学.
  • 生物信息学是一种生物信息学.

背景情况:

  • 拷贝数丢失 (删除) 是严重遗传疾病的重要原因.
  • 目前的预测方法难以整合基因哈普洛缺陷的多种证据线,限制了它们识别病原性删除的能力.

研究的目的:

  • 介绍DosaCNV,一个新的深度多实例学习框架.
  • 为改善预测准确性,共同建模删除致病性和基因哈普隆缺陷.

主要方法:

  • DosaCNV集成了30多个基因水平特征,可以预测哈普洛缺陷.
  • 该框架采用深度多实例学习方法.
  • 一种最先进的技术量化了模型可解释性的特征贡献.

主要成果:

  • DosaCNV在优先考虑与遗传疾病相关的致病性缺失方面表现出卓越的表现.
  • 该模型擅长预测基因脱不良的基因,而不是在已知的脱不良基因上进行训练.
  • DosaCNV为其预测提供了人类可以理解的解释.

结论:

  • DosaCNV是一种用于遗传疾病研究的强大计算工具.
  • 增强基本理解和翻译应用,用于识别引起疾病的删除.