cis和trans本质上就是通过SNP位点和gene之间的距离进行区分,首先对所有的SNP-gene对进行计算,然后根据距离阈值将结果进行拆分,小于阈值的SNP-gene对归于cis-eQTL, 大于阈值的归于trans-eQTL。
eQTL:expression quantitative trait loci, 表达定量性状基因位点,指控制特定基因表达的的一段DNA。 Cis-eQTL:又称local-eQTL,指距离调控的基因非常近eQTL,小于1Mb(更宽松的可用5Mb)。比如,该基因的promoter段的SNP。 Trans-eQTL:又称distal/ indirect-eQTL,距离调控的基因非常远的eQTL,大于5Mb以上,甚至不在同一条染...
该文件读取的代码如下 4. 进行eQTL分析 代码如下 运行完成之后,查看对应的输出结果即可,cis和trans的输出结果是类似的,示意如下 cis和trans本质上就是通过SNP位点和gene之间的距离进行区分,首先对所有的SNP-gene对进行计算,然后根据距离阈值将结果进行拆分,小于阈值的SNP-gene对归于cis-eQTL, 大于阈值的归于trans-eQTL。
4. 进行eQTL分析 代码如下 运行完成之后,查看对应的输出结果即可,cis和trans的输出结果是类似的,示意如下 cis和trans本质上就是通过SNP位点和gene之间的距离进行区分,首先对所有的SNP-gene对进行计算,然后根据距离阈值将结果进行拆分,小于阈值的SNP-gene对归于cis-eQTL, 大于阈值的归于trans-eQTL。 ·end· —如果...
Efforts to map the genetic loci (called expression quantitative trait loci, eQTL) that contribute to gene expression variation reveal numerous local-eQTL, where a gene's mRNA abundance is associated with genotype near its genomic location, and also trans-eQTL, where a genetic locus affects the ...
网络反式数量性状区间 网络释义 1. 反式数量性状区间 ..., EGFR.NFl和PIK3C2G;262个基因反式数量性状区间(trans-eQTL)以及26miRNA反式数量性状区间。 cdmd.cnki.com.cn|基于 1 个网页
(eQTL) analyses using blood-derived expression from 31,684 individuals through the eQTLGen Consortium. We detectedcis-eQTL for 88% of genes, and these were replicable in numerous tissues. Distaltrans-eQTL (detected for 37% of 10,317 trait-associated variants tested) showed lower replication rates...
Therefore, it is safe to speculate that a substantial number of probes on human and mouse microarrays overlap with SNPs in population studies, such as expression quantitative trait loci (eQTL) studies. Sequence polymorphisms between a probe on the microarray and its target can affect the ...
To help overcome this problem, we performed expression quantitative trait locus (eQTL) meta-analysis in non-transformed peripheral blood samples from 5,311 individuals with replication in 2,775 individuals. We identified and replicated trans eQTLs for 233 SNPs (reflecting 103 independent loci) that ...
trans-eQTL cross phenotype meta analysis transcription master regulator regulatory network Introduction Biological processes are carefully orchestrated events, requiring precise activation and repression of participating genes by hierarchical gene regulatory mechanisms. This elaborate co-regulation can be seen in ...