方法对比
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| 网络驱动的 eQTL 分析× | eQTL分析× | |
|---|---|---|
| 领域 | 生物信息学 | 生物信息学 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 2008–2013 (network-integrated extensions of eQTL mapping) | 2001 (term coined); widely adopted after 2005 |
| 提出者≠ | Multiple groups; foundational eQTL work by Cheung et al. (2005) and Stranger et al. (2007); network integration extended by Zhu et al. (2008) and others | Ritsert C. Jansen & Jan-Peter Nap |
| 类型≠ | Statistical genomics / network analysis pipeline | Association mapping method |
| 开创性文献≠ | Skinner, M. E., Uzilov, A. V., Stein, L. D., Mungall, C. J., & Holmes, I. H. (2009). JBrowse: a next-generation genome browser. Genome Research, 19(9), 1630–1638. link ↗ | Jansen, R. C., & Nap, J.-P. (2001). Genetical genomics: the added value from segregation. Trends in Genetics, 17(7), 388–391. DOI ↗ |
| 别名 | network eQTL, network-integrated eQTL mapping, graph-based eQTL analysis, eQTL network analysis | eQTL mapping, expression QTL analysis, transcriptomic QTL analysis, eQTL study |
| 相关≠ | 5 | 6 |
| 摘要≠ | Network-based eQTL analysis extends classical eQTL mapping by embedding genetic variant-to-expression associations within gene regulatory or protein interaction networks. Rather than treating each SNP-gene pair independently, this approach leverages network topology — such as co-expression modules or known pathway structures — to improve statistical power, reduce multiple testing burden, and reveal how genetic variants perturb entire regulatory programs rather than isolated transcripts. | eQTL analysis identifies genomic loci (variants, typically SNPs) whose genotype statistically associates with variation in the expression level of one or more genes. By jointly profiling DNA-level variation and RNA-level expression in the same individuals, eQTL studies decode the regulatory grammar of the genome — revealing which variants control how much a gene is transcribed, in which tissues, and under what conditions. |
| ScholarGate数据集 ↗ |
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