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Updated: Jan 13, 2026

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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通过整合大量外部数据来提高基于家庭的GWAS的估计效率.

Zixuan Wu1, Yunqi Yang2, Aabesh Bhattacharyya1

  • 1Department of Statistics, University of Chicago, Chicago, IL 60637, USA.

medRxiv : the preprint server for health sciences
|January 8, 2026
PubMed
概括

这项研究引入了一种校准方法,以提高基于家族的全基因组关联研究 (GWAS) 的力量. 这种方法提高了统计效率,不需要个人遗传数据,改进了遗传分析.

关键词:
门德尔的随机化选择性的交配.校准校准的时间直接的遗传影响是直接的遗传影响.基因培养 基因培养总结统计的总结统计.减小差异减小差异减小在家族中的GWAS GWAS.

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