The importance of mRNA structure in determining the pathogenicity of synonymous and non-synonymous mutations in haemophilia

被引:26
|
作者
Hamasaki-Katagiri, N. [1 ]
Lin, B. C. [1 ]
Simon, J. [1 ]
Hunt, R. C. [1 ]
Schiller, T. [1 ]
Russek-Cohen, E. [2 ]
Komar, A. A. [3 ]
Bar, H. [4 ]
Kimchi-Sarfaty, C. [1 ]
机构
[1] US FDA, Lab Hemostasis, Div Hematol Res & Review, Silver Spring, MD USA
[2] US FDA, Div Biostat, Ctr Biol Evaluat & Res, Silver Spring, MD USA
[3] Cleveland State Univ, Ctr Gene Regulat Hlth & Dis, Dept Biol Geol & Environm Sci, Cleveland, OH 44115 USA
[4] Univ Connecticut, Dept Stat, Coll Liberal Arts & Sci, Storrs, CT 06268 USA
基金
美国国家卫生研究院;
关键词
F8; haemophilia; MFE; mRNA thermodynamic stability; RNA prediction software; synonymous mutations; SINGLE-NUCLEOTIDE POLYMORPHISM; SECONDARY STRUCTURE; WEB SERVER; PREDICTION; STABILITY; DISEASE;
D O I
10.1111/hae.13107
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction: 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.
引用
收藏
页码:E8 / E17
页数:10
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