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Updated: Jun 11, 2025

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BLUPmrMLM:在全基因组关联研究中的快速mrMLM算法

Hong-Fu Li1, Jing-Tian Wang1, Qiong Zhao1

  • 1College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.

Genomics, proteomics & bioinformatics
|September 30, 2024
PubMed
概括

一种新方法,最好的线性无偏预测多位点随机SNP效应混合线性模型 (BLUPmrMLM),显著加快了复杂特征的全基因组关联研究. 这种先进的工具提高了分析大型遗传数据集的准确性和效率.

关键词:
蓝点蓝点 蓝点蓝点全基因组关联研究研究.大规模数据集 大规模数据集多部位模型模型.mrMLMM 在线观看

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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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