相关实验视频

Updated: Jul 3, 2025

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

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

Published on: July 27, 2021

基因组预测基于从全基因组关联研究中预先选择的单核酸多态,以及对Duroc猪生长特征的归算全基因组序列数据注释的基因组预测

Yuling Zhang^1,2, Zhanwei Zhuang^1,2, Yiyi Liu^1,2

¹College of Animal Science and National Engineering Research Center for Breeding Swine Industry South China Agricultural University Guangzhou China.

Evolutionary applications

|February 16, 2024

概括

整个基因组序列 (WGS) 数据并没有单独提高基因组预测 (GP) 的准确性. 然而,使用基因组特征最好的线性无偏预测 (GFBLUP) 结合生物信息,提高了猪的GP准确性.

科学领域:

动物基因组学动物基因组学
量化遗传学量化遗传学
生物信息学是一种生物信息学.

背景情况:

全基因组序列 (WGS) 数据有可能改善复杂特征的基因组预测 (GP).
之前的研究表明,仅使用WGS数据,预测准确度的改善有限.
将先前的生物信息集成到GP中是一个有希望的策略,以提高准确性.

研究的目的:

评估将WGS数据中的生物信息纳入猪生长特征的GP准确度的影响.
用不同的基因组变异面板和模型来比较预测准确度.

主要方法:

用50K芯片对6334头猪进行基因定型,并以WGS水平计算.
使用的变异注释和全基因组关联研究 (GWAS) 结果来自WGS数据.
应用基因组最佳线性无偏预测 (GBLUP) 和基因组特征最佳线性无偏预测 (GFBLUP) 模型.

主要成果:

与50K芯片数据相比,使用归算WGS数据的GBLUP显示预测准确度没有增加.
仅使用注释信息并没有提高 GBLUP 与 50K 数据的准确性.
将注释信息与归算的WGS数据相结合的GFBLUP将预测准确度提高了0.00%-2.82%.

结论:

集成先前生物信息的GFBLUP模型增强了对GP的归算WGS数据的实用性.
生物信息对于最大限度地利用WGS数据在基因组预测中的好处至关重要.

关键词:

标注注释标注注释基因组预测基因组预测增长的特征增长的特征猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪

更多相关视频

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

Published on: August 21, 2016

In Vivo Modeling of the Morbid Human Genome using Danio rerio

In Vivo Modeling of the Morbid Human Genome using Danio rerio

Published on: August 24, 2013

相关概念视频

Genome-wide Association Studies-GWAS

Genome-wide Association Studies-GWAS

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...

Incomplete Dominance

Incomplete Dominance

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.

Genetic Screens

Genetic Screens

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...