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Dataset Information

Genomic features defining exonic variants that modulate splicing.


ABSTRACT:

Background

Single point mutations at both synonymous and non-synonymous positions within exons can have severe effects on gene function through disruption of splicing. Predicting these mutations in silico purely from the genomic sequence is difficult due to an incomplete understanding of the multiple factors that may be responsible. In addition, little is known about which computational prediction approaches, such as those involving exonic splicing enhancers and exonic splicing silencers, are most informative.

Results

We assessed the features of single-nucleotide genomic variants verified to cause exon skipping and compared them to a large set of coding SNPs common in the human population, which are likely to have no effect on splicing. Our findings implicate a number of fea

SUBMITTER: Woolfe A 

PROVIDER: S-EPMC2872880 | biostudies-literature | 2010

REPOSITORIES: biostudies-literature