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相关概念视频

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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Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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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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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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Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
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相关实验视频

Updated: May 22, 2025

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
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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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改进基因变异识别量化特征使用集体学习为基础的方法.

Jyoti Sharma1, Vaishnavi Jangale1, Rajveer Singh Shekhawat1

  • 1Department of Bioscience & Bioengineering, Indian Institute of Technology, Jodhpur, 342030, Rajasthan, India.

BMC genomics
|March 13, 2025
PubMed
概括

这项研究引入了一种先进的集体学习方法,用于定量特征全基因组关联研究 (GWAS). 新方法有效地识别了与LDL胆固醇等定量特征相关的遗传变异,改进了现有的方法.

关键词:
弹性网是一种弹性网.功能选择 功能选择功能丰富的功能丰富.全基因组关联研究研究.机器学习是机器学习.支持矢量回归的支持矢量回归

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Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
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相关实验视频

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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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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

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Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
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科学领域:

  • 遗传学 遗传学 是一个
  • 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:

  • 全基因组关联研究 (GWAS) 正在推进新的基因组组件.
  • 目前的GWAS方法主要侧重于离散的表型,使定量特征 (QT) 分析不发达.
  • 由于多线性和严格的p值值,现有的方法可以忽略显著的变异.

研究的目的:

  • 在GWAS中开发和验证QT分析的增强集体学习方法.
  • 改进与定量特征相关的遗传变异的识别.
  • 为了解决QTs当前GWAS方法中的局限性.

主要方法:

  • 提出了一种集体学习方法,集成规范变体选择和机器学习关联方法.
  • 基准测试了四种变体选择方法 (LASSO,,弹性网,相互信息) 和四种关联方法 (线性回归,随机森林,SVR,XGBoost).
  • 对低密度脂蛋白 (LDL) 胆固醇水平的模拟和现实数据集 (PennCATH) 的方法进行了评估.

主要成果:

  • 弹性网与支向量回归 (SVR) 的组合在所有测试数据集中表现出卓越的性能.
  • 首选单核酸多形态 (SNPs) 的功能注释揭示了相关组织对LDL胆固醇调节的表达.
  • 已确认已知胆固醇相关基因的参与,并确定了潜在的新药标.

结论:

  • 开发的集体学习方法有效地识别了与定量特征相关的遗传变异.
  • 未来的改进预计将与T2T和泛基因组参考在GWAS中的整合相结合.