DBASS

DBASS5 - Record Details

Gene FGB
(Ensembl)
Location of Aberrant 5' Splice Site
Intron
Phenotype Afibrinogenemia
(OMIM)
Distance between Authentic and Aberrant 5' Splice Site (nt)
+11
Mutation IVS6+13C>T Change in the Reading Frame
+2
Reference(s)

Spena, S., Duga, S., Asselta, R., Malcovati, M., Peyvandi, F., Tenchini, M.L. (2002) Congenital afibrinogenemia: first identification of splicing mutations in the fibrinogen Bbeta-chain gene causing activation of cryptic splice sites. Blood, 100, 4478-4484. Pub Med Article # 12393540

Nucleotide Sequence[a] GATGGACAGT   GATTCAGAAC   CGTCAAGACG   GTAGTGTTGA   CTTTGGCAGG   AAATGGGATC   CATATAAACA   GGGATTTGGA   AATGTTGCAA   CCAACACAGA   TGGGAAGAAT   TACTGTGGCC   TACCAGgtaa   cgaacag/g(   c>t)atgcaa   aataaaatca   ttctatttga   aatgggattt   tttttaatta   aaaaacattc   attgttggaa   gcctgtttta   ggcagttaag   aggagtttcc   tgacaaaaat   gtggaagcta   aagataaggg   aagaaaggca   gtttttagtt   tcccaaaatt   ttatttttgg   tgagatttta   ttttgttttt  
Percent Utilisation 90
Terminal Exon? No
Splice Site Strength[b]
Authentic Site
Aberrant Site
  Maximum Entropy Model [1]
10.52
9.37
  Maximum Dependence Decomposition Model [2]
13.68
12.48
  First Order Markov Model [1]
8.77
9.03
  Weight Matrix Model [1]
8.30
8.90
Genomic Co-ordinates (hg38)
  Aberrant Splice Site

chr4:154569318/154569319

Mutation

chr4:154569320

Legend

  • [a] /, cryptic or de novo splice sites; > nucleotide substitutions; (), deletions; [], duplications or insertions. Intronic sequences are in lower case (in blue), exons are in upper case (in green)
  • [b] Shapiro and Senapathy matrix scores were calculated according to an algorithm published previously (1). Maximum entropy and the first-order Markov and weight matrix models were computed as described (2)

References

  1. Shapiro, M.B. and Senapathy, P. (1987) RNA splice junctions of different classes of eukaryotes: sequence statistics and functional implications in gene expression. Nucleic Acids Res., 15, 7155-7174.
  2. Yeo, G. and Burge, C.B. (2004) Maximum entropy modelling of short sequence motifs with applications to RNA splicing signals. J. Comput. Biol., 11, 377-394.
  3. Burge, C. 1998. Modeling dependencies in pre-mRNA splicing signals. In Computational methods in molecular biology (eds. S.L. Salzberg et al.), chapter 8, pp. 129–164. Elsevier Science, Philadelphia, PA.