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Identification of functional single nucleotide polymorphisms in the branchpoint site

Overview of attention for article published in Human Genomics, November 2017
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Title
Identification of functional single nucleotide polymorphisms in the branchpoint site
Published in
Human Genomics, November 2017
DOI 10.1186/s40246-017-0122-6
Pubmed ID
Authors

Hung-Lun Chiang, Jer-Yuarn Wu, Yuan-Tsong Chen

Abstract

The human genome contains millions of single nucleotide polymorphisms (SNPs); many of these SNPs are intronic and have unknown functional significance. SNPs occurring within intron branchpoint sites, especially at the adenine (A), would presumably affect splicing; however, this has not been systematically studied. We employed a splicing prediction tool to identify human intron branchpoint sites and screened dbSNP for identifying SNPs located in the predicted sites to generate a genome-wide branchpoint site SNP database. We identified 600 SNPs located within branchpoint sites; among which, 216 showed a change in A. After scoring the SNPs by counting the As in the ± 10 nucleotide region, only four SNPs were identified without additional As (rs13296170, rs12769205, rs75434223, and rs67785924). Using minigene constructs, we examined the effects of these SNPs on splicing. The three SNPs (rs13296170, rs12769205, and rs75434223) with nucleotide substitution at the A position resulted in abnormal splicing (exon skipping and/or intron inclusion). However, rs67785924, a 5-bp deletion that abolished the branchpoint A nucleotide, exhibited normal RNA splicing pattern, presumably using two of the downstream As as alternative branchpoints. The influence of additional As on splicing was further confirmed by studying rs2733532, which contains three additional As in the ± 10 nucleotide region. We generated a high-confidence genome-wide branchpoint site SNP database, experimentally verified the importance of A in the branchpoint, and suggested that other nearby As can protect branchpoint A substitution from abnormal splicing.

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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 %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 23%
Lecturer 2 9%
Lecturer > Senior Lecturer 2 9%
Student > Master 2 9%
Researcher 2 9%
Other 3 14%
Unknown 6 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 18%
Agricultural and Biological Sciences 3 14%
Medicine and Dentistry 3 14%
Psychology 1 5%
Neuroscience 1 5%
Other 1 5%
Unknown 9 41%
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 26 November 2017.
All research outputs
#17,292,294
of 25,382,440 outputs
Outputs from Human Genomics
#389
of 564 outputs
Outputs of similar age
#219,039
of 342,671 outputs
Outputs of similar age from Human Genomics
#7
of 10 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 564 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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