Evidence map›Paper›PMID 27933712›Full record

ArticleHaemophilia : the official journal of the World Federation of Hemophilia2017

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

N Hamasaki-Katagiri, B C Lin, J Simon, R C Hunt, T Schiller, E Russek-Cohen, A A Komar, H Bar, C Kimchi-Sarfaty

Abstract read
In one paragraph

Article in Haemophilia : the official journal of the World Federation of Hemophilia, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
0.9field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 38 citations in OpenAlex.

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  19. Transcriptome-wide miRNA identification ofPlant signaling & behavior · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

N Hamasaki-KatagiriLaboratory of Hemostasis, Division of Hematology Research and Review, Center for Biologics Evaluation & Research, United States Food and Drug Administration, Silver Spring, MD, USA.
B C LinLaboratory of Hemostasis, Division of Hematology Research and Review, Center for Biologics Evaluation & Research, United States Food and Drug Administration, Silver Spring, MD, USA.
J SimonLaboratory of Hemostasis, Division of Hematology Research and Review, Center for Biologics Evaluation & Research, United States Food and Drug Administration, Silver Spring, MD, USA.
R C HuntLaboratory of Hemostasis, Division of Hematology Research and Review, Center for Biologics Evaluation & Research, United States Food and Drug Administration, Silver Spring, MD, USA.
T SchillerLaboratory of Hemostasis, Division of Hematology Research and Review, Center for Biologics Evaluation & Research, United States Food and Drug Administration, Silver Spring, MD, USA.
E Russek-CohenDivision of Biostatistics, Center for Biologics Evaluation & Research, United States Food and Drug Administration, Silver Spring, MD, USA.
A A KomarCenter for Gene Regulation in Health and Disease, Department of Biological, Geological & Environmental Sciences, Cleveland State University, Cleveland, OH, USA.
H BarDepartment of Statistics, College of Liberal Arts and Sciences, University of Connecticut, Storrs, CT, USA.
C Kimchi-SarfatyLaboratory of Hemostasis, Division of Hematology Research and Review, Center for Biologics Evaluation & Research, United States Food and Drug Administration, Silver Spring, MD, USA.
United States Food and Drug Administration · USCenter for Biologics Evaluation and Research · USCleveland State University · USUniversity of Connecticut · US

Funding

Understanding the impact of disease causing mutations in FIXR15HL121779 · NHLBI · CLEVELAND STATE UNIVERSITY · PI KOMAR, ANTON A. · 2014 to 2014
$437k
Intramural FDA HHS FD999999NHLBI NIH HHS R15 HL121779
6 · The paper itself

Abstract

introductionMutational 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.

aimTo evaluate mRNA thermodynamic stability and associated RNA prediction software as a means to distinguish between neutral and disease-associated mutations in haemophilia.

methodsFive 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).

resultsIn 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.

conclusionmRNA 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.

Indexed as

DNA Mutational AnalysisHemophilia AHumansMutationRNA, MessengerRNA, MessengerF8haemophiliaMFEmRNA thermodynamic stabilityRNA prediction softwaresynonymous mutations

Identifiers

PMID27933712
PMCPMC5226872
OpenAlexW2560188917

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.