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The complex genetics of hypoplastic left heart syndrome

Overview of attention for article published in Nature Genetics, May 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
10 news outlets
blogs
1 blog
twitter
72 X users
patent
1 patent
facebook
2 Facebook pages
wikipedia
1 Wikipedia page

Readers on

mendeley
166 Mendeley
Title
The complex genetics of hypoplastic left heart syndrome
Published in
Nature Genetics, May 2017
DOI 10.1038/ng.3870
Pubmed ID
Authors

Xiaoqin Liu, Hisato Yagi, Shazina Saeed, Abha S Bais, George C Gabriel, Zhaohan Chen, Kevin A Peterson, You Li, Molly C Schwartz, William T Reynolds, Manush Saydmohammed, Brian Gibbs, Yijen Wu, William Devine, Bishwanath Chatterjee, Nikolai T Klena, Dennis Kostka, Karen L de Mesy Bentley, Madhavi K Ganapathiraju, Phillip Dexheimer, Linda Leatherbury, Omar Khalifa, Anchit Bhagat, Maliha Zahid, William Pu, Simon Watkins, Paul Grossfeld, Stephen A Murray, George A Porter, Michael Tsang, Lisa J Martin, D Woodrow Benson, Bruce J Aronow, Cecilia W Lo

Abstract

Congenital heart disease (CHD) affects up to 1% of live births. Although a genetic etiology is indicated by an increased recurrence risk, sporadic occurrence suggests that CHD genetics is complex. Here, we show that hypoplastic left heart syndrome (HLHS), a severe CHD, is multigenic and genetically heterogeneous. Using mouse forward genetics, we report what is, to our knowledge, the first isolation of HLHS mutant mice and identification of genes causing HLHS. Mutations from seven HLHS mouse lines showed multigenic enrichment in ten human chromosome regions linked to HLHS. Mutations in Sap130 and Pcdha9, genes not previously associated with CHD, were validated by CRISPR-Cas9 genome editing in mice as being digenic causes of HLHS. We also identified one subject with HLHS with SAP130 and PCDHA13 mutations. Mouse and zebrafish modeling showed that Sap130 mediates left ventricular hypoplasia, whereas Pcdha9 increases penetrance of aortic valve abnormalities, both signature HLHS defects. These findings show that HLHS can arise genetically in a combinatorial fashion, thus providing a new paradigm for the complex genetics of CHD.

X Demographics

X Demographics

The data shown below were collected from the profiles of 72 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 166 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 17%
Student > Bachelor 23 14%
Student > Ph. D. Student 22 13%
Student > Doctoral Student 11 7%
Other 11 7%
Other 29 17%
Unknown 41 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 42 25%
Medicine and Dentistry 41 25%
Agricultural and Biological Sciences 22 13%
Engineering 5 3%
Neuroscience 5 3%
Other 7 4%
Unknown 44 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 121. 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 19 March 2020.
All research outputs
#335,973
of 24,998,746 outputs
Outputs from Nature Genetics
#654
of 7,520 outputs
Outputs of similar age
#7,032
of 319,149 outputs
Outputs of similar age from Nature Genetics
#16
of 78 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,520 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 42.9. This one has done particularly well, scoring higher than 91% 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 319,149 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.