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Updated: May 24, 2025

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
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在1000个基因组的基于回归的多SNP分析中使用本地主要组件进行维度缩小,以及加拿大长度老龄化研究 (CLSA)

Fatemeh Yavartanoo1, Myriam Brossard2, Shelley B Bull2,3

  • 1Department of Mathematics Education, Seoul National University, Seoul, South Korea.

Genetic epidemiology
|March 1, 2025
PubMed
概括

使用本地主要组件 (DRLPC) 的维度缩小有效地解决了遗传关联研究中的多线性. 这种方法提高了回归模型的稳定性,并提高了遗传测试的统计能力.

关键词:
1000个基因组项目 (第三阶段)加拿大长度老龄化研究 (CLSA)缩小尺寸缩小尺寸的方法多个SNP的统计数据.多重对线性多重对线性主要组成部分分析 (PCA)差异通胀因子 (VIF) 的变化

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