Evidence map›Paper›PMID 33407909›Full record

ArticleHereditas2021

A novel intron mutation in FBN-1 gene identified in a pregnant woman with Marfan syndrome.

Yuduo Wu, Hairui Sun, Yihua He, Hongjia Zhang

Open access · goldAbstract readCase Reports
In one paragraph

Article in Hereditas, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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

4 authors at 2 institutions in 1 country.

Yuduo WuDepartment of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, No.2, Anzhen Road, Chaoyang District, Beijing, 100029, China.
Hairui SunKey Laboratory of Medical Engineering for Cardiovascular Disease, Ministry of Education, Beijing, China.
Yihua HeKey Laboratory of Medical Engineering for Cardiovascular Disease, Ministry of Education, Beijing, China. yihuaheecho@163.com.
Hongjia ZhangDepartment of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, No.2, Anzhen Road, Chaoyang District, Beijing, 100029, China. zhanghongjia722@ccmu.edu.cn.
Ministry of Education of the People's Republic of China · CNCapital Medical University · CN

Funding

Beijing Municipal Commission of Education DFL20180602the National Key R&D Program of China 2018YFC1002300
6 · The paper itself

Abstract

Marfan syndrome (MFS) is one of the most common hereditary connective tissue diseases, with great individual heterogeneity. We reported a Chinese pregnancy with Clinical diagnosis of MFS, performed whole-exome sequencing, and screened for the genetic abnormality. We also conducted an in vitro mini-gene splicing assay to demonstrate the predicted harmful effects of an intronic variant of FBN-1. Exome sequencing identified a novel intronic variant (c.6497-13 T>A) in intron 53 of the FBN-1 gene (NM_000138.4). It's predicted to insert 11 bp of intron 53 into the mature mRNA. The mini-gene splicing experiment demonstrated that c.6497-13 T>A could result in 11 bp retention in intron 53 to exon 54 (c.6496_6497ins gtttcttgcag) and the use of an alternative donor causing the frameshift p.Asp2166Glyfs*23. According to the results, the pregnant woman chose to continue the pregnancy and gave birth to a healthy baby. This study expands the genetic mutation spectrum of MFS patients and indicates the importance of intron sequencing.

Indexed as

AdipokinesFemaleFibrillin-1HumansIntronsMarfan SyndromeMutationPregnancyAdipokinesFBN1 protein, humanFibrillin-1FBN-1 geneMarfan syndromeMini geneSequencingSplicing mutation

Identifiers

PMID33407909
PMCPMC7788922
OpenAlexW3118764797

What OpenQuestion holds

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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.