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相关概念视频

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

13.3K
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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Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

353
Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
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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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Human Genetics01:28

Human Genetics

559
Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...
559
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.7K
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 Annotation and Assembly03:36

Genome Annotation and Assembly

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The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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相关实验视频

Updated: Jun 26, 2025

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
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Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

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GUIDE使用关联研究来解构遗传架构.

Daniel Lazarev, Grant Chau, Alex Bloemendal

    bioRxiv : the preprint server for biology
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    PubMed
    概括
    此摘要是机器生成的。

    我们开发了通过独立分解 (GUIDE) 进行遗传分离,以揭示影响复杂特征的隐藏遗传因素. 该方法识别了关键的生物学途径,并影响了潜在的疾病,改善了疾病的分类和理解.

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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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    Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
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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:

    • 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:

    • 复杂的特征表现出多基因结构,在整个基因组中具有众多小型遗传效应.
    • 功能丰富分析表明,这些遗传关联不是随机的,这表明了潜在的生物结构.
    • 了解这些结构对于疾病分类和阐明复杂的疾病机制至关重要.

    研究的目的:

    • 识别通过多个复杂特征中介于遗传关联的潜在因素 (模块).
    • 开发一种用于估计这些独立潜伏因子的新方法.
    • 证明这些因素在了解疾病机制和生物影响方面的有用性.

    主要方法:

    • 通过独立分解 (GUIDE) 提出基因分离,这是一种估计统计学上独立的潜在因子的方法.
    • 应用 GUIDE 对遗传关联的结果来自许多复杂的特征.
    • 评估已识别的潜在因素的数学特性和生物解释性.

    主要成果:

    • GUIDE有效地估计了具有可取性质的潜在因素,例如对特征和变体解释的稀疏性和高方差.
    • 已识别的潜伏因素优先考虑关键的生物特征和与复杂特征相关的病理生理机制.
    • 这些因素可以索引生物学途径,流行病学和环境影响,为特征架构做出贡献.

    结论:

    • GUIDE提供了一个强大的框架来剖析复杂特征的遗传结构.
    • 已识别的潜伏因素为疾病机制提供了洞察力,有助于分类和有针对性的研究.
    • 这种方法提高了我们对遗传学,环境和疾病之间的相互作用的理解.