Evidence map›Paper›PMID 16963498›Full record

ArticleNucleic acids research2006

Aberrant 3' splice sites in human disease genes: mutation pattern, nucleotide structure and comparison of computational tools that predict their utilization.

Igor Vorechovský

Open access · goldAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Nucleic acids research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
5.3field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

54 citing papers in PubMed, 204 citations in OpenAlex.

  1. Control of 3' splice site selection inRNA (New York, N.Y.) · 2025
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  13. Variation benchmark datasets: update, criteria, quality and applications.Database : the journal of biological databases and curation · 2020
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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

1 author at 1 institution in 1 country.

Igor VorechovskýUniversity of Southampton School of Medicine, Division of Human Genetics, Mailpoint 808, Southampton SO16 6YD, UK.
International Centre for Genetic Engineering and Biotechnology · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The frequency distribution of mutation-induced aberrant 3' splice sites (3'ss) in exons and introns is more complex than for 5' splice sites, largely owing to sequence constraints upstream of intron/exon boundaries. As a result, prediction of their localization remains a challenging task. Here, nucleotide sequences of previously reported 218 aberrant 3'ss activated by disease-causing mutations in 131 human genes were compared with their authentic counterparts using currently available splice site prediction tools. Each tested algorithm distinguished authentic 3'ss from cryptic sites more effectively than from de novo sites. The best discrimination between aberrant and authentic 3'ss was achieved by the maximum entropy model. Almost one half of aberrant 3'ss was activated by AG-creating mutations and approximately 95% of the newly created AGs were selected in vivo. The overall nucleotide structure upstream of aberrant 3'ss was characterized by higher purine content than for authentic sites, particularly in position -3, that may be compensated by more stringent requirements for positive and negative nucleotide signatures centred around position -11. A newly developed online database of aberrant 3'ss will facilitate identification of splicing mutations in a gene or phenotype of interest and future optimization of splice site prediction tools.

Indexed as

RNA Splice SitesSoftwareAlgorithmsBase CompositionComputational BiologyDatabases, Nucleic AcidDNA Mutational AnalysisGenetic Diseases, InbornHumansInternetNucleotidesNucleotidesRNA Splice Sites

Identifiers

PMID16963498
PMCPMC1636351
OpenAlexW2119338364

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.