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• W2894571123 abstract "Abstract Non-coding RNAs (ncRNA) have an essential role in the complex landscape of human genetic regulatory networks. One area that is poorly explored is the effect of genetic variations on the interaction between ncRNA and their targets. By integrating a significant amount of public data, the present study cataloged the vast landscape of the regulatory effect of microRNAs (miRNA) and long intergenic noncoding RNAs (lincRNA) in the human genome. An expression quantitative trait loci (eQTL) analysis was used to identify genetic variants associated with miRNA and lincRNA and whose genotypes affect gene expression. Association networks were built for eQTL associated to traits of clinical and/or pharmacological relevance." @default.
• W2894571123 created "2018-10-12" @default.
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• W2894571123 date "2018-10-09" @default.
• W2894571123 modified "2023-09-26" @default.
• W2894571123 title "Uncovering association networks through an eQTL analysis involving human miRNAs and lincRNAs" @default.
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• W2894571123 doi "https://doi.org/10.1038/s41598-018-33420-z" @default.
• W2894571123 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6177424" @default.
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