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Rare variants in SOX17 are associated with pulmonary arterial hypertension with congenital heart disease

Overview of attention for article published in Genome Medicine, July 2018
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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 (83rd percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Rare variants in SOX17 are associated with pulmonary arterial hypertension with congenital heart disease
Published in
Genome Medicine, July 2018
DOI 10.1186/s13073-018-0566-x
Pubmed ID
Authors

Na Zhu, Carrie L. Welch, Jiayao Wang, Philip M. Allen, Claudia Gonzaga-Jauregui, Lijiang Ma, Alejandra K. King, Usha Krishnan, Erika B. Rosenzweig, D. Dunbar Ivy, Eric D. Austin, Rizwan Hamid, Michael W. Pauciulo, Katie A. Lutz, William C. Nichols, Jeffrey G. Reid, John D. Overton, Aris Baras, Frederick E. Dewey, Yufeng Shen, Wendy K. Chung

Abstract

Pulmonary arterial hypertension (PAH) is a rare disease characterized by distinctive changes in pulmonary arterioles that lead to progressive pulmonary arterial pressures, right-sided heart failure, and a high mortality rate. Up to 30% of adult and 75% of pediatric PAH cases are associated with congenital heart disease (PAH-CHD), and the underlying etiology is largely unknown. There are no known major risk genes for PAH-CHD. To identify novel genetic causes of PAH-CHD, we performed whole exome sequencing in 256 PAH-CHD patients. We performed a case-control gene-based association test of rare deleterious variants using 7509 gnomAD whole genome sequencing population controls. We then screened a separate cohort of 413 idiopathic and familial PAH patients without CHD for rare deleterious variants in the top association gene. We identified SOX17 as a novel candidate risk gene (p = 5.5e-7). SOX17 is highly constrained and encodes a transcription factor involved in Wnt/β-catenin and Notch signaling during development. We estimate that rare deleterious variants contribute to approximately 3.2% of PAH-CHD cases. The coding variants identified include likely gene-disrupting (LGD) and deleterious missense, with most of the missense variants occurring in a highly conserved HMG-box protein domain. We further observed an enrichment of rare deleterious variants in putative targets of SOX17, many of which are highly expressed in developing heart and pulmonary vasculature. In the cohort of PAH without CHD, rare deleterious variants of SOX17 were observed in 0.7% of cases. These data strongly implicate SOX17 as a new risk gene contributing to PAH-CHD as well as idiopathic/familial PAH. Replication in other PAH cohorts and further characterization of the clinical phenotype will be important to confirm the precise role of SOX17 and better estimate the contribution of genes regulated by SOX17.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 114 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 16%
Student > Ph. D. Student 14 12%
Student > Master 10 9%
Student > Doctoral Student 9 8%
Student > Bachelor 9 8%
Other 26 23%
Unknown 28 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 25 22%
Medicine and Dentistry 18 16%
Agricultural and Biological Sciences 12 11%
Nursing and Health Professions 5 4%
Unspecified 3 3%
Other 10 9%
Unknown 41 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 15 June 2019.
All research outputs
#2,850,668
of 24,598,501 outputs
Outputs from Genome Medicine
#649
of 1,517 outputs
Outputs of similar age
#55,242
of 333,680 outputs
Outputs of similar age from Genome Medicine
#13
of 25 outputs
Altmetric has tracked 24,598,501 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,517 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.2. This one has gotten more attention than average, scoring higher than 57% 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 333,680 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 83% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.