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通过 RNA-seq 研究 eQTL 变异:从 SNP 到表型。

The study of eQTL variations by RNA-seq: from SNPs to phenotypes.

机构信息

Department of Human Genetics, McGill University and Genome Quebec Innovation Centre, 740 Dr. Penfield Avenue, Rm 7210, Montreal, Quebec, H3A 1A4, Canada.

出版信息

Trends Genet. 2011 Feb;27(2):72-9. doi: 10.1016/j.tig.2010.10.006. Epub 2010 Nov 29.

Abstract

Common DNA variants alter the expression levels and patterns of many human genes. Loci responsible for this genetic control are known as expression quantitative trait loci (eQTLs). The resulting variation of gene expression across individuals has been postulated to be a determinant of phenotypic variation and susceptibility to complex disease. In the past, the application of expression microarray and genetic variation data to study populations enabled the rapid identification of eQTLs in model organisms and humans. Now, a new technology promises to revolutionize the field. Massively parallel RNA sequencing (RNA-seq) provides unprecedented resolution, allowing us to accurately monitor not only the expression output of each genomic locus but also reconstruct and quantify alternatively spliced transcripts. RNA-seq also provides new insights into the regulatory mechanisms underlying eQTLs. Here, we discuss the major advances introduced by RNA-seq and summarize current progress towards understanding the role of eQTLs in determining human phenotypic diversity.

摘要

常见的 DNA 变体改变了许多人类基因的表达水平和模式。负责这种遗传控制的基因座被称为表达数量性状基因座(eQTLs)。个体之间基因表达的这种变化被认为是表型变异和对复杂疾病易感性的决定因素。过去,应用表达微阵列和遗传变异数据研究人群使人们能够快速识别模型生物和人类中的 eQTL。现在,一项新技术有望彻底改变这一领域。大规模并行 RNA 测序(RNA-seq)提供了前所未有的分辨率,使我们不仅能够准确监测每个基因组基因座的表达输出,还能够重建和定量分析可变剪接转录本。RNA-seq 还为理解 eQTL 背后的调控机制提供了新的视角。在这里,我们讨论了 RNA-seq 带来的主要进展,并总结了目前对 eQTL 在决定人类表型多样性中的作用的理解进展。

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