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Prioritizing single-nucleotide variations that potentially regulate alternative splicing

Overview of attention for article published in BMC Proceedings, November 2011
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Title
Prioritizing single-nucleotide variations that potentially regulate alternative splicing
Published in
BMC Proceedings, November 2011
DOI 10.1186/1753-6561-5-s9-s40
Pubmed ID
Authors

Mingxiang Teng, Yadong Wang, Guohua Wang, Jeesun Jung, Howard J Edenberg, Jeremy R Sanford, Yunlong Liu

Abstract

Recent evidence suggests that many complex diseases are caused by genetic variations that play regulatory roles in controlling gene expression. Most genetic studies focus on nonsynonymous variations that can alter the amino acid composition of a protein and are therefore believed to have the highest impact on phenotype. Synonymous variations, however, can also play important roles in disease pathogenesis by regulating pre-mRNA processing and translational control. In this study, we systematically survey the effects of single-nucleotide variations (SNVs) on binding affinity of RNA-binding proteins (RBPs). Among the 10,113 synonymous SNVs identified in 697 individuals in the 1,000 Genomes Project and distributed by Genetic Analysis Workshop 17 (GAW17), we identified 182 variations located in alternatively spliced exons that can significantly change the binding affinity of nine RBPs whose binding preferences on 7-mer RNA sequences were previously reported. We found that the minor allele frequencies of these variations are similar to those of nonsynonymous SNVs, suggesting that they are in fact functional. We propose a workflow to identify phenotype-associated regulatory SNVs that might affect alternative splicing from exome-sequencing-derived genetic variations. Based on the affecting SNVs on the quantitative traits simulated in GAW17, we further identified two and four functional SNVs that are predicted to be involved in alternative splicing regulation in traits Q1 and Q2, respectively.

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Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 5%
United States 1 5%
Unknown 20 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 18%
Professor 3 14%
Professor > Associate Professor 3 14%
Student > Master 3 14%
Student > Bachelor 2 9%
Other 5 23%
Unknown 2 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 45%
Computer Science 3 14%
Biochemistry, Genetics and Molecular Biology 2 9%
Engineering 2 9%
Chemistry 1 5%
Other 1 5%
Unknown 3 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 March 2012.
All research outputs
#18,304,874
of 22,663,150 outputs
Outputs from BMC Proceedings
#265
of 374 outputs
Outputs of similar age
#195,929
of 240,156 outputs
Outputs of similar age from BMC Proceedings
#23
of 44 outputs
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