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Rare copy number variants analysis identifies novel candidate genes in heterotaxy syndrome patients with congenital heart defects

Overview of attention for article published in Genome Medicine, May 2018
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  • Good Attention Score compared to outputs of the same age (68th percentile)

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10 tweeters

Citations

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20 Dimensions

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33 Mendeley
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Title
Rare copy number variants analysis identifies novel candidate genes in heterotaxy syndrome patients with congenital heart defects
Published in
Genome Medicine, May 2018
DOI 10.1186/s13073-018-0549-y
Pubmed ID
Authors

Chunjie Liu, Ruixue Cao, Yuejuan Xu, Tingting Li, Fen Li, Sun Chen, Rang Xu, Kun Sun

Abstract

Heterotaxy (Htx) syndrome comprises a class of congenital disorders resulting from malformations in left-right body patterning. Approximately 90% of patients with heterotaxy have serious congenital heart diseases; as a result, the survival rate and outcomes of Htx patients are not satisfactory. However, the underlying etiology and mechanisms in the majority of Htx cases remain unknown. The aim of this study was to investigate the function of rare copy number variants (CNVs) in the pathogenesis of Htx. We collected 63 sporadic Htx patients with congenital heart defects and identified rare CNVs using an Affymetrix CytoScan HD microarray and real-time polymerase chain reaction. Potential candidate genes associated with the rare CNVs were selected by referring to previous literature related to left-right development. The expression patterns and function of candidate genes were further analyzed by whole mount in situ hybridization, morpholino knockdown, clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9)-mediated mutation, and over-expressing methods with zebrafish models. Nineteen rare CNVs were identified for the first time in patients with Htx. These CNVs include 5 heterozygous genic deletions, 4 internal genic duplications, and 10 complete duplications of at least one gene. Further analyses of the 19 rare CNVs identified six novel potential candidate genes (NUMB, PACRG, TCTN2, DANH10, RNF115, and TTC40) linked to left-right patterning. These candidate genes exhibited early expression patterns in zebrafish embryos. Functional testing revealed that downregulation and over-expression of five candidate genes (numb, pacrg, tctn2, dnah10, and rnf115) in zebrafish resulted in disruption of cardiac looping and abnormal expression of lefty2 or pitx2, molecular markers of left-right patterning. Our findings show that Htx with congenital heart defects in some sporadic patients may be attributed to rare CNVs. Furthermore, DNAH10 and RNF115 are Htx candidate genes involved in left-right patterning which have not previously been reported in either humans or animals. Our results also advance understanding of the genetic components of Htx.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 18%
Researcher 5 15%
Student > Doctoral Student 4 12%
Professor 4 12%
Student > Postgraduate 2 6%
Other 4 12%
Unknown 8 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 21%
Medicine and Dentistry 6 18%
Agricultural and Biological Sciences 4 12%
Psychology 4 12%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 1 3%
Unknown 10 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 June 2018.
All research outputs
#4,273,893
of 16,534,657 outputs
Outputs from Genome Medicine
#756
of 1,107 outputs
Outputs of similar age
#88,352
of 284,546 outputs
Outputs of similar age from Genome Medicine
#1
of 1 outputs
Altmetric has tracked 16,534,657 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,107 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.6. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 284,546 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them