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Single Nucleotide Polymorphisms Associated with MicroRNA Regulation
NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore 117456, Singapore
Department of Biochemistry, National University of Singapore, Singapore 119077, Singapore
Division of Medical Sciences, National Cancer Centre, Singapore 169610, Singapore
Duke-NUS Graduate Medical School, Singapore 169547, Singapore
* Author to whom correspondence should be addressed.
Received: 2 March 2013; in revised form: 22 March 2013 / Accepted: 27 March 2013 / Published: 9 April 2013
Abstract: Since the discovery of microRNA (miRNA), the polymorphisms that affect miRNA regulation had been extensively investigated by many independent studies. Recently, researchers utilized bioinformatics and statistical approaches for genome-wide analysis on the human polymorphisms that reside in the miRNA genes, targets, and/or genes involved in miRNA processing. In this review, we will give an overview about the important findings of these studies from three perspectives: architecture of the polymorphisms within miRNAs or their targets, potential functional consequences of the polymorphisms on miRNA processing or targeting, and the associations of the polymorphisms with miRNA or target gene expression. The results of the previous studies demonstrated the signatures of natural selections on the miRNA genes and their targets, and proposed a collection of potentially functional, expression-associated, and/or positively selected polymorphisms that are promising for further investigations. In the meantime, a few useful resources about the polymorphic miRNA regulation have been developed and the different features of these databases were discussed in this review. Though recent research had benefited from these comprehensive studies and resources, there were still gaps in our knowledge about the polymorphisms involved in miRNA regulation, and future investigations were expected to address these questions.
Keywords: microRNA; single nucleotide polymorphism; bioinformatics; natural selection; expression phenotype; database
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MDPI and ACS Style
Jin, Y.; Lee, C.G.L. Single Nucleotide Polymorphisms Associated with MicroRNA Regulation. Biomolecules 2013, 3, 287-302.
Jin Y, Lee CGL. Single Nucleotide Polymorphisms Associated with MicroRNA Regulation. Biomolecules. 2013; 3(2):287-302.
Jin, Yu; Lee, Caroline G.L. 2013. "Single Nucleotide Polymorphisms Associated with MicroRNA Regulation." Biomolecules 3, no. 2: 287-302.