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Updated: Jul 4, 2025

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

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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通过使用可行的通用最小平方来改进SNP遗传性的功能丰富估计

Zewei Xiong1, Thuan-Quoc Thach1, Yan Dora Zhang2

  • 1Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.

HGG advances
|February 8, 2024
PubMed
概括

我们开发了通用链接不平衡得分回归 (g-LDSC) 以使用全基因组关联研究 (GWAS) 总结数据进行更精确的功能丰富估计. 这种方法通过利用整个LD矩阵来改进分层LDSC,从而产生更现实的结果.

关键词:
关于GWAS总结统计数据的总结复杂的人类特征 复杂的人类特征功能丰富的功能丰富.一般化的LD得分回归.分区的可继承性 分区的可继承性

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