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Updated: Jun 6, 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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在一个多样化的生物库中,系统地比较全现象混合映射和全基因组关联

Sinead Cullina, Ruhollah Shemirani, Samira Asgari

    medRxiv : the preprint server for health sciences
    |November 28, 2024
    PubMed
    概括

    混合映射 (AM) 和全基因组关联研究 (GWAS) 揭示了疾病的独特遗传因素. 另外,AM在代表性不足的西班牙裔/拉丁裔和非洲裔美国人群中发现了新的信号,这些信号被GWAS遗漏了.

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    Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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