多特征GWAS中的特征选择策略:提高SNP的可发现性

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Updated: Jul 11, 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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Yuka Suzuki1, Hervé Ménager2, Bryan Brancotte2

  • 1Institut Pasteur, Université Paris Cité, Department of Computational Biology, Paris, 75015 France.

bioRxiv : the preprint server for biology
|November 14, 2023
PubMed
概括

多特征全基因组协会研究 (GWAS) 增强了变体检测. 选择临床异质的特征或使用数据驱动模型比临床相似的特征更能提高功率,优于单变量查.

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Genome-wide Association Studies-GWAS01:11

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...
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