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推断的基因关联确定了在转录途径和复杂特征中富集的可复制的反式作用基因。

Imputed gene associations identify replicable trans-acting genes enriched in transcription pathways and complex traits.

机构信息

Department of Biology, Loyola University Chicago, Chicago, Illinois.

Department of Computer Science, Loyola University Chicago, Chicago, Illinois.

出版信息

Genet Epidemiol. 2019 Sep;43(6):596-608. doi: 10.1002/gepi.22205. Epub 2019 Apr 4.

DOI:10.1002/gepi.22205
PMID:30950127
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6687523/
Abstract

Regulation of gene expression is an important mechanism through which genetic variation can affect complex traits. A substantial portion of gene expression variation can be explained by both local (cis) and distal (trans) genetic variation. Much progress has been made in uncovering cis-acting expression quantitative trait loci (cis-eQTL), but trans-eQTL have been more difficult to identify and replicate. Here we take advantage of our ability to predict the cis component of gene expression coupled with gene mapping methods such as PrediXcan to identify high confidence candidate trans-acting genes and their targets. That is, we correlate the cis component of gene expression with observed expression of genes in different chromosomes. Leveraging the shared cis-acting regulation across tissues, we combine the evidence of association across all available Genotype-Tissue Expression Project tissues and find 2,356 trans-acting/target gene pairs with high mappability scores. Reassuringly, trans-acting genes are enriched in transcription and nucleic acid binding pathways and target genes are enriched in known transcription factor binding sites. Interestingly, trans-acting genes are more significantly associated with selected complex traits and diseases than target or background genes, consistent with percolating trans effects. Our scripts and summary statistics are publicly available for future studies of trans-acting gene regulation.

摘要

基因表达调控是遗传变异影响复杂性状的重要机制。大量的基因表达变异可以通过局部(顺式)和远端(反式)遗传变异来解释。在揭示顺式作用表达数量性状基因座(cis-eQTL)方面已经取得了很大进展,但反式 eQTL 的识别和复制更为困难。在这里,我们利用我们预测基因表达顺式成分的能力,结合 PrediXcan 等基因映射方法,识别高可信度候选反式作用基因及其靶基因。也就是说,我们将基因表达的顺式成分与不同染色体上观察到的基因表达进行关联。利用跨组织共享的顺式作用调控,我们结合了所有可用的基因型-组织表达项目组织中的关联证据,发现了 2356 对具有高可映射性评分的反式作用/靶基因对。令人欣慰的是,反式作用基因在转录和核酸结合途径中富集,而靶基因在已知的转录因子结合位点中富集。有趣的是,与背景或靶基因相比,反式作用基因与选定的复杂性状和疾病的关联更为显著,这与渗透的反式效应一致。我们的脚本和汇总统计数据可供未来研究反式作用基因调控使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba56/6766883/d52fb42abe13/GEPI-43-596-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba56/6766883/7b82405351b5/GEPI-43-596-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba56/6766883/7b759ba69bdf/GEPI-43-596-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba56/6766883/c7e31a8d5fee/GEPI-43-596-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba56/6766883/7a942d38bb1f/GEPI-43-596-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba56/6766883/d52fb42abe13/GEPI-43-596-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba56/6766883/7b82405351b5/GEPI-43-596-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba56/6766883/7b759ba69bdf/GEPI-43-596-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba56/6766883/c7e31a8d5fee/GEPI-43-596-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba56/6766883/7a942d38bb1f/GEPI-43-596-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba56/6766883/d52fb42abe13/GEPI-43-596-g005.jpg

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