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The importance of mRNA structure in determining the pathogenicity of synonymous and non‐synonymous mutations in haemophilia
Author(s) -
HamasakiKatagiri N.,
Lin B. C.,
Simon J.,
Hunt R. C.,
Schiller T.,
RussekCohen E.,
Komar A. A.,
Bar H.,
KimchiSarfaty C.
Publication year - 2017
Publication title -
haemophilia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.213
H-Index - 92
eISSN - 1365-2516
pISSN - 1351-8216
DOI - 10.1111/hae.13107
Subject(s) - point mutation , genetics , messenger rna , biology , gene , mutation , synonymous substitution , missense mutation , silent mutation , rna , haemophilia a , haemophilia , computational biology , codon usage bias , genome
Mutational analysis is commonly used to support the diagnosis and management of haemophilia. This has allowed for the generation of large mutation databases which provide unparalleled insight into genotype–phenotype relationships. Haemophilia is associated with inversions, deletions, insertions, nonsense and missense mutations. Both synonymous and non‐synonymous mutations influence the base pairing of messenger RNA ( mRNA ), which can alter mRNA structure, cellular half‐life and ribosome processivity/elongation. However, the role of mRNA structure in determining the pathogenicity of point mutations in haemophilia has not been evaluated. Aim To evaluate mRNA thermodynamic stability and associated RNA prediction software as a means to distinguish between neutral and disease‐associated mutations in haemophilia. Methods Five mRNA structure prediction software programs were used to assess the thermodynamic stability of mRNA fragments carrying neutral vs. disease‐associated and synonymous vs. non‐synonymous point mutations in F8 , F9 and a third X‐linked gene, DMD (dystrophin). Results In F8 and DMD , disease‐associated mutations tend to occur in more structurally stable mRNA regions, represented by lower MFE (minimum free energy) levels. In comparing multiple software packages for mRNA structure prediction, a 101–151 nucleotide fragment length appears to be a feasible range for structuring future studies. Conclusion mRNA thermodynamic stability is one predictive characteristic, which when combined with other RNA and protein features, may offer significant insight when screening sequencing data for novel disease‐associated mutations. Our results also suggest potential utility in evaluating the mRNA thermodynamic stability profile of a gene when determining the viability of interchanging codons for biological and therapeutic applications.