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The Current Landscape of Genetic Testing in Cardiovascular Malformations: Opportunities and Challenges

Overview of attention for article published in Frontiers in Cardiovascular Medicine, July 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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Title
The Current Landscape of Genetic Testing in Cardiovascular Malformations: Opportunities and Challenges
Published in
Frontiers in Cardiovascular Medicine, July 2016
DOI 10.3389/fcvm.2016.00022
Pubmed ID
Authors

Benjamin J. Landis, Stephanie M. Ware

Abstract

Human cardiovascular malformations (CVMs) frequently have a genetic contribution. Through the application of novel technologies, such as next-generation sequencing, DNA sequence variants associated with CVMs are being identified at a rapid pace. While clinicians are now able to offer testing with NGS gene panels or whole exome sequencing to any patient with a CVM, the interpretation of genetic variation remains problematic. Variable phenotypic expression, reduced penetrance, inconsistent phenotyping methods, and the lack of high-throughput functional testing of variants contribute to these challenges. This article elaborates critical issues that impact the decision to broadly implement clinical molecular genetic testing in CVMs. Major benefits of testing include establishing a genetic diagnosis, facilitating cost-effective screening of family members who may have subclinical disease, predicting recurrence risk in offsprings, enabling early diagnosis and anticipatory management of CV and non-CV disease phenotypes, predicting long-term outcomes, and facilitating the development of novel therapies aimed at disease improvement or prevention. Limitations include financial cost, psychosocial cost, and ambiguity of interpretation of results. Multiplex families and patients with syndromic features are two groups where disease causation could potentially be firmly established. However, these account for the minority of the overall CVM population, and there is increasing recognition that genotypes previously associated with syndromes also exist in patients who lack non-CV findings. In all circumstances, ongoing dialog between cardiologists and clinical geneticists will be needed to accurately interpret genetic testing and improve these patients' health. This may be most effectively implemented by the creation and support of CV genetics services at centers committed to pursuing testing for patients.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Argentina 1 2%
Egypt 1 2%
Unknown 38 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 20%
Other 6 15%
Student > Bachelor 5 12%
Student > Ph. D. Student 5 12%
Student > Doctoral Student 4 10%
Other 7 17%
Unknown 6 15%
Readers by discipline Count As %
Medicine and Dentistry 13 32%
Biochemistry, Genetics and Molecular Biology 7 17%
Agricultural and Biological Sciences 5 12%
Psychology 3 7%
Engineering 2 5%
Other 3 7%
Unknown 8 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 January 2023.
All research outputs
#4,998,199
of 24,792,414 outputs
Outputs from Frontiers in Cardiovascular Medicine
#761
of 8,690 outputs
Outputs of similar age
#85,937
of 374,029 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#2
of 10 outputs
Altmetric has tracked 24,792,414 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,690 research outputs from this source. They receive a mean Attention Score of 4.2. 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 374,029 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 76% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.