Evidence map›Paper›PMID 21992029›Full record

ArticleBMC bioinformatics2011

Genome-wide prediction of splice-modifying SNPs in human genes using a new analysis pipeline called AASsites.

Kirsten Faber, Karl-Heinz Glatting, Phillip J Mueller, Angela Risch, Agnes Hotz-Wagenblatt

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Article in BMC bioinformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
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  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Alternative Splicing in Alzheimer's Disease.Journal of Parkinson's disease and Alzheimer's disease · 2015
    Article
  14. Article
  15. In silico tools for splicing defect prediction: a survey from the viewpoint of end users.Genetics in medicine : official journal of the American College of Medical Genetics · 2014
    Review
  16. Review
  17. SNP Discovery through Next-Generation Sequencing and Its Applications.International journal of plant genomics · 2012
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Kirsten FaberBioinformatics (HUSAR), Core Facility Genomics and Proteomics, German Cancer Research Center, D-69120 Heidelberg, Germany.
Karl-Heinz Glatting
Phillip J Mueller
Angela Risch
Agnes Hotz-Wagenblatt

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSome single nucleotide polymorphisms (SNPs) are known to modify the risk of developing certain diseases or the reaction to drugs. Due to next generation sequencing methods the number of known human SNPs has grown. Not all SNPs lead to a modified protein, which may be the origin of a disease. Therefore, the recognition of functional SNPs is needed. Because most SNP annotation tools look for SNPs which lead to an amino acid exchange or a premature stop, we designed a new tool called AASsites which searches for SNPs which modify splicing.

resultsAASsites uses several gene prediction programs and open reading frame prediction to compare the wild type (wt) and the variant gene sequence. The results of the comparison are combined by a handmade rule system to classify a change in splicing as "likely, probable, unlikely". Having received good results from tests with SNPs known for changing the splicing pattern we checked 80,000 SNPs from the human genome which are located near splice sites for their ability to change the splicing pattern of the gene and hereby result in a different protein. We identified 301 "likely" and 985 "probable" classified SNPs with such characteristics. Within this set 33 SNPs are described in the ssSNP Target database to cause modified splicing.

conclusionsWith AASsites single SNPs can be checked for those causing splice modifications. Screening 80,000 known human SNPs we detected about 1,200 SNPs which probably modify splicing. AASsites is available at http://genius.embnet.dkfz-heidelberg.de/menu/biounit/open-husar using any web browser.

Indexed as

Polymorphism, Single NucleotideRNA SplicingSoftwareDiseaseGenome, HumanGenome-Wide Association StudyHumansInternetOpen Reading FramesRNA Splice SitesRNA Splice Sites

Identifiers

PMID21992029
PMCPMC3194194

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.