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Updated: Jul 23, 2025

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

Published on: August 21, 2016

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基因组信息的维度及其对全基因组关联的影响以及基因组预测的变异选择:一项模拟研究

Sungbong Jang1, Shogo Tsuruta2, Natalia Galoro Leite2

  • 1Department of Animal and Dairy Science, University of Georgia, Athens, GA, 30602, USA. jsbng8615@gmail.com.

Genetics, selection, evolution : GSE
|July 17, 2023
PubMed
概括

通过全基因组关联 (GWA) 研究来识别致病变体受有效人口规模和基因组数据维度的影响. 用基因组信息维度来确定GWA和变异选择的最佳样本大小,尽管将已识别的变异添加到预测模型中提供了有限的好处.

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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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