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Systematic screening of FBN1 gene unclassified missense variants for splice abnormalities

Systematic screening of FBN1 gene unclassified missense variants for splice abnormalities
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 two 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 affect upon 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.
FBN1, marfan syndrome, rna, splicing
0009-9163
223-231
Robinson, David O.
9db1b26b-6c2b-4ac5-879e-20f8a2dc30ec
Lin, F.
9067ee54-a57f-4432-b390-ec81fd8aa73c
Lyon, Matthew
9c030a93-d30a-4fc3-831b-8b82cfeaf705
Raponi, Michela
f465e77f-b9bf-4c32-80d6-43c0787542b9
Cross, Esther
cca4b455-f371-4838-a70f-7e04301383df
White, Helen E.
2181c0b9-fc3b-407e-95eb-3510524603e5
Cox, Helen
b59f11d7-0b83-4c0b-9bc0-e6a2654366b6
Clayton-Smith, Jill
df8946ac-9da9-4ef2-b180-f468a5424844
Baralle, Diana
faac16e5-7928-4801-9811-8b3a9ea4bb91
Robinson, David O.
9db1b26b-6c2b-4ac5-879e-20f8a2dc30ec
Lin, F.
9067ee54-a57f-4432-b390-ec81fd8aa73c
Lyon, Matthew
9c030a93-d30a-4fc3-831b-8b82cfeaf705
Raponi, Michela
f465e77f-b9bf-4c32-80d6-43c0787542b9
Cross, Esther
cca4b455-f371-4838-a70f-7e04301383df
White, Helen E.
2181c0b9-fc3b-407e-95eb-3510524603e5
Cox, Helen
b59f11d7-0b83-4c0b-9bc0-e6a2654366b6
Clayton-Smith, Jill
df8946ac-9da9-4ef2-b180-f468a5424844
Baralle, Diana
faac16e5-7928-4801-9811-8b3a9ea4bb91

Robinson, David O., Lin, F., Lyon, Matthew, Raponi, Michela, Cross, Esther, White, Helen E., Cox, Helen, Clayton-Smith, Jill and Baralle, Diana (2012) Systematic screening of FBN1 gene unclassified missense variants for splice abnormalities. Clinical Genetics, 82 (3), 223-231. (doi:10.1111/j.1399-0004.2011.01781.x). (PMID:21895641)

Record type: Article

Abstract

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 two 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 affect upon 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.

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More information

Accepted/In Press date: 6 September 2011
Published date: September 2012
Keywords: FBN1, marfan syndrome, rna, splicing
Organisations: Human Development & Health

Identifiers

Local EPrints ID: 196665
URI: http://eprints.soton.ac.uk/id/eprint/196665
ISSN: 0009-9163
PURE UUID: 686eb957-f9d0-4150-8e5b-0fb93deb6c7a
ORCID for Diana Baralle: ORCID iD orcid.org/0000-0003-3217-4833

Catalogue record

Date deposited: 12 Sep 2011 14:32
Last modified: 15 Mar 2024 03:30

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Contributors

Author: David O. Robinson
Author: F. Lin
Author: Matthew Lyon
Author: Michela Raponi
Author: Esther Cross
Author: Helen E. White
Author: Helen Cox
Author: Jill Clayton-Smith
Author: Diana Baralle ORCID iD

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