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在 210 个 HapMap 个体中进行顺式-反式上位性的系统 eQTL 研究。

A systematic eQTL study of cis-trans epistasis in 210 HapMap individuals.

机构信息

Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany.

出版信息

Eur J Hum Genet. 2012 Jan;20(1):97-101. doi: 10.1038/ejhg.2011.156. Epub 2011 Aug 17.

Abstract

We aimed at identifying transcripts whose expression is regulated by a SNP-SNP interaction. Out of 47,294 expression phenotypes we used 3107 transcripts that survived an extensive quality control and 86,613 linkage disequilibrium-pruned SNP markers that have been genotyped in 210 individuals. For each transcript we defined cis-SNPs, tested them for epistasis with all trans-SNPs, and corrected all observed cis-trans-regulated expression effects for multiple testing. We determined that the expression of about 15% of all included transcripts is regulated by a significant two-locus interaction, which is more than expected (P = 2.86 × 10(-144)). Our findings suggest further that cis-markers with so called 'marginal effects' are more likely to be involved in two-locus gene regulation than expected (P = 8.27 × 10(-05)), although the majority of interacting cis-markers showed no one-locus regulation. Furthermore, we found evidence that gene-mediated trans-effects are not a major source of epistasis, as no enrichment of genes has been found in close vicinity of trans-SNPs. In addition, our data support the notion that neither chromosomal regions nor cellular processes are enriched in epistatic interactions. Finally, some of the cis-trans regulated genes have been found in genome-wide association studies, which might be interesting for follow-up studies of the corresponding disorders. In summary, our results provide novel insights into the complex genome-transcriptome regulation.

摘要

我们旨在确定受 SNP-SNP 相互作用调控的转录本。在 47294 个表达表型中,我们使用了 3107 个经过广泛质量控制且在 210 个人中进行了基因型分析的转录本,以及 86613 个连锁不平衡修剪 SNP 标记。对于每个转录本,我们定义了顺式 SNP,测试了它们与所有反式 SNP 的上位性,并对所有观察到的顺式-反式调控表达效应进行了多重检验校正。我们确定大约 15%的包含转录本的表达受到显著的两基因座相互作用的调控,这比预期的要多(P=2.86×10(-144))。我们的研究结果进一步表明,具有所谓“边缘效应”的顺式标记更有可能参与两基因座基因调控,这比预期的要多(P=8.27×10(-05)),尽管大多数相互作用的顺式标记没有单基因座调控。此外,我们发现证据表明基因介导的反式效应不是上位性的主要来源,因为在反式 SNP 附近没有发现基因富集。此外,我们的数据支持这样的观点,即染色体区域或细胞过程在上位性相互作用中没有富集。最后,一些顺式-反式调控基因已经在全基因组关联研究中被发现,这可能对相应疾病的后续研究很有意义。总之,我们的研究结果为复杂的基因组-转录组调控提供了新的见解。

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