DBASS

DBASS5 - Record Details

Gene CYP11B1
(Ensembl)
Location of Aberrant 5' Splice Site
Exon
Phenotype 11beta-hydroxylase deficiency
(OMIM)
Distance between Authentic and Aberrant 5' Splice Site (nt)
-46
Mutation E4+204G>A Change in the Reading Frame
+1
Reference(s)

Soardi F.C., Penachioni J.Y., Justo G.Z., Bachega T.A., In�cio M., Mendon�a B.B., de Castro M., de Mello M.P. (2009) NOVEL MUTATIONS IN CYP11B1 GENE LEADING TO 11{beta}-HYDROXYLASE DEFICIENCY IN BRAZILIAN PATIENTS. J Clin Endocrinol Metab., in press. Pub Med Article # 19567537

Nucleotide Sequence[a] CCAGCAACTT   GGCTCTTTTT   GGAGAGCGGC   TGGGCCTGGT   TGGCCACAGC   CCCAGTTCTG   CCAGCCTGAA   CTTCCTCCAT   GCCCTGGAGG   TCATGTTCAA   ATCCACCGTC   CAGCTCATGT   TCATGCCCAG   GAGCCTGTCT   CGCTGGACCA   GCCCCAAG/G   TGTGGAAGGA   GCACTTTGAG   GCCTGGGACT   GCATCTTCCA   GTAC(G>A)g   tgaggccagg   gacccgggca   gtgctatggg   gaagggacac   catgggggcc   caatttctcc   ctctccacca   cccagtgggg   aatggaggcc   acagggaggg   gtcggggatt   cctcaccttc   ctgccaggga   gattggtgcg   aggctggggc   tgggctgggc   tgatccggag   aatttgggat   gagagcaggg   agacttgggt   gtcggggcag   tctgggcagg   aggaggacac   tgaaggatgt   ctcccagcac   caaagtctga   gggctgcctc   ccgctccccg  
Terminal Exon? No
Splice Site Strength[b]
Authentic Site
Aberrant Site
  Maximum Entropy Model [1]
9.20
5.28
  Maximum Dependence Decomposition Model [2]
12.88
10.98
  First Order Markov Model [1]
9.24
5.03
  Weight Matrix Model [1]
7.45
7.45
Genomic Co-ordinates (hg38)
  Aberrant Splice Site

chr8:142876727/142876728

Mutation

chr8:142876682

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.