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Whole exome sequencing coupled with unbiased functional analysis reveals new Hirschsprung disease genes

Overview of attention for article published in Genome Biology, March 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Whole exome sequencing coupled with unbiased functional analysis reveals new Hirschsprung disease genes
Published in
Genome Biology, March 2017
DOI 10.1186/s13059-017-1174-6
Pubmed ID
Authors

Hongsheng Gui, Duco Schriemer, William W. Cheng, Rajendra K. Chauhan, Guillermo Antiňolo, Courtney Berrios, Marta Bleda, Alice S. Brooks, Rutger W. W. Brouwer, Alan J. Burns, Stacey S. Cherny, Joaquin Dopazo, Bart J. L. Eggen, Paola Griseri, Binta Jalloh, Thuy-Linh Le, Vincent C. H. Lui, Berta Luzón-Toro, Ivana Matera, Elly S. W. Ngan, Anna Pelet, Macarena Ruiz-Ferrer, Pak C. Sham, Iain T. Shepherd, Man-Ting So, Yunia Sribudiani, Clara S. M. Tang, Mirjam C. G. N. van den Hout, Herma C. van der Linde, Tjakko J. van Ham, Wilfred F. J. van IJcken, Joke B. G. M. Verheij, Jeanne Amiel, Salud Borrego, Isabella Ceccherini, Aravinda Chakravarti, Stanislas Lyonnet, Paul K. H. Tam, Maria-Mercè Garcia-Barceló, Robert M. W. Hofstra

Abstract

Hirschsprung disease (HSCR), which is congenital obstruction of the bowel, results from a failure of enteric nervous system (ENS) progenitors to migrate, proliferate, differentiate, or survive within the distal intestine. Previous studies that have searched for genes underlying HSCR have focused on ENS-related pathways and genes not fitting the current knowledge have thus often been ignored. We identify and validate novel HSCR genes using whole exome sequencing (WES), burden tests, in silico prediction, unbiased in vivo analyses of the mutated genes in zebrafish, and expression analyses in zebrafish, mouse, and human. We performed de novo mutation (DNM) screening on 24 HSCR trios. We identify 28 DNMs in 21 different genes. Eight of the DNMs we identified occur in RET, the main HSCR gene, and the remaining 20 DNMs reside in genes not reported in the ENS. Knockdown of all 12 genes with missense or loss-of-function DNMs showed that the orthologs of four genes (DENND3, NCLN, NUP98, and TBATA) are indispensable for ENS development in zebrafish, and these results were confirmed by CRISPR knockout. These genes are also expressed in human and mouse gut and/or ENS progenitors. Importantly, the encoded proteins are linked to neuronal processes shared by the central nervous system and the ENS. Our data open new fields of investigation into HSCR pathology and provide novel insights into the development of the ENS. Moreover, the study demonstrates that functional analyses of genes carrying DNMs are warranted to delineate the full genetic architecture of rare complex diseases.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 111 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 18%
Student > Ph. D. Student 14 13%
Student > Bachelor 13 12%
Student > Master 10 9%
Student > Doctoral Student 6 5%
Other 19 17%
Unknown 29 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 25 23%
Medicine and Dentistry 17 15%
Agricultural and Biological Sciences 11 10%
Neuroscience 8 7%
Immunology and Microbiology 2 2%
Other 12 11%
Unknown 36 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 23 March 2017.
All research outputs
#2,373,653
of 25,382,440 outputs
Outputs from Genome Biology
#1,933
of 4,468 outputs
Outputs of similar age
#43,537
of 321,177 outputs
Outputs of similar age from Genome Biology
#33
of 60 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 56% of its peers.
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 321,177 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.