相关实验视频

Updated: Jun 7, 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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通过对遗传学,环境和社会文化因素进行适当的建模,提高GWAS在代表性不足的群体中的表现

Chelsea C Cataldo-Ramirez1,2, Meng Lin3,4, Aislinn Mcmahon1

  • 1Department of Anthropology, University of California Davis, Davis, CA, 95616, USA.

bioRxiv : the preprint server for biology
|November 18, 2024
PubMed
概括

这项研究通过改善英国生物银行中南亚祖先的代表性来加强遗传研究. 将环境因素纳入全基因组关联研究 (GWAS) 显著提高了多基因分数 (PGS) 开发和预测准确性.

关键词:
环境共变量 环境共变量全基因组关联研究 (GWAS)高度 身高 高度 高度 高度多基因分数 (PGS) 是指多基因分数.南亚 亚洲 南亚 亚洲英国生物银行

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