相关实验视频

Updated: Jul 12, 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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使用GWAS总结统计数据的可扩展方法,在数千种人类疾病和复杂特征中表征性

Zixuan Zhang1, Junghyun Jung1, Artem Kim1

  • 1Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.

American journal of human genetics
|October 25, 2023
PubMed
概括

一个新的可扩展模型FactorGo,从大型生物库的全基因组协会研究 (GWAS) 中识别了数千个特征的共同遗传因素. 它增强了对复杂特征形和共同疾病病因学的理解.

关键词:
贝叶斯因子分析是贝叶斯因子分析.在GWAS中,GWAS就是GWAS.类型的类型.

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