Systematic screening of FBN1 gene unclassified missense variants for splice abnormalities
Article first published online: 30 SEP 2011
© 2011 John Wiley & Sons A/S
Volume 82, Issue 3, pages 223–231, September 2012
How to Cite
Robinson, D., Lin, F., Lyon, M., Raponi, M., Cross, E., White, H., Cox, H., Clayton-Smith, J. and Baralle, D. (2012), Systematic screening of FBN1 gene unclassified missense variants for splice abnormalities. Clinical Genetics, 82: 223–231. doi: 10.1111/j.1399-0004.2011.01781.x
- Issue published online: 12 AUG 2012
- Article first published online: 30 SEP 2011
- Accepted manuscript online: 6 SEP 2011 11:37AM EST
- Received 24 June 2011, revised and accepted for publication 2 September 2011
- Marfan syndrome;
Robinson DO, Lin F, Lyon M, Raponi M, Cross E, White HE, Cox H, Clayton-Smith J, Baralle D. Systematic screening of FBN1 gene unclassified missense variants for splice abnormalities.
Defects at the level of pre-mRNA splicing are a common source of genetic mutation but such mutations are not always easy to identify from DNA sequence data alone. Clinical practice has only recently begun to incorporate analysis for this type of abnormality. Some base changes at the DNA level currently viewed as unclassified variants or missense mutations may influence RNA splicing. To address this problem for fibrillin 1 (FBN1) gene missense mutations we have carried out RNA analysis and in silico analysis with splice site prediction programs on 40 cases with 36 different mutations. Direct analysis of RNA from blood was performed by cDNA preparation, PCR amplification of specific FBN1 fragments, gel electrophoresis and sequencing of the PCR products. Of the 36 missense base changes, direct RNA analysis identified 2 which caused an abnormality of splicing. In silico analysis using five splice site prediction programs did not always accurately predict the splicing seen by direct RNA analysis. In conclusion, some apparent missense mutations have an effect on splicing which can be identified by direct RNA analysis, however, in silico analysis of splice sites is not always accurate, should be carried out with more than one prediction program and results should be used with caution.