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The role of small in-frame insertions/deletions in inherited eye disorders and how structural modelling can help estimate their pathogenicity

Overview of attention for article published in Orphanet Journal of Rare Diseases, September 2016
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Title
The role of small in-frame insertions/deletions in inherited eye disorders and how structural modelling can help estimate their pathogenicity
Published in
Orphanet Journal of Rare Diseases, September 2016
DOI 10.1186/s13023-016-0505-0
Pubmed ID
Authors

Panagiotis I. Sergouniotis, Stephanie J. Barton, Sarah Waller, Rahat Perveen, Jamie M. Ellingford, Christopher Campbell, Georgina Hall, Rachel L. Gillespie, Sanjeev S. Bhaskar, Simon C. Ramsden, Graeme C. Black, Simon C. Lovell

Abstract

Although the majority of small in-frame insertions/deletions (indels) has no/little affect on protein function, a small subset of these changes has been causally associated with genetic disorders. Notably, the molecular mechanisms and frequency by which they give rise to disease phenotypes remain largely unknown. The aim of this study is to provide insights into the role of in-frame indels (≤21 nucleotides) in two genetically heterogeneous eye disorders. One hundred eighty-one probands with childhood cataracts and 486 probands with retinal dystrophy underwent multigene panel testing in a clinical diagnostic laboratory. In-frame indels were collected and evaluated both clinically and in silico. Variants that could be modeled in the context of protein structure were identified and analysed using integrative structural modeling. Overall, 55 small in-frame indels were detected in 112 of 667 probands (16.8 %); 17 of these changes were novel to this study and 18 variants were reported clinically. A reliable model of the corresponding protein sequence could be generated for 8 variants. Structural modeling indicated a diverse range of molecular mechanisms of disease including disruption of secondary and tertiary protein structure and alteration of protein-DNA binding sites. In childhood cataract and retinal dystrophy subjects, one small in-frame indel is clinically reported in every ~37 individuals tested. The clinical utility of computational tools evaluating these changes increases when the full complexity of the involved molecular mechanisms is embraced.

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The data shown below were collected from the profiles of 3 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 14%
Student > Bachelor 3 11%
Student > Doctoral Student 3 11%
Researcher 3 11%
Student > Master 3 11%
Other 5 18%
Unknown 7 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 25%
Agricultural and Biological Sciences 5 18%
Nursing and Health Professions 3 11%
Social Sciences 2 7%
Medicine and Dentistry 2 7%
Other 2 7%
Unknown 7 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 November 2016.
All research outputs
#16,048,009
of 25,374,917 outputs
Outputs from Orphanet Journal of Rare Diseases
#1,776
of 3,105 outputs
Outputs of similar age
#194,623
of 330,523 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#22
of 38 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,105 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 38th percentile – i.e., 38% 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 330,523 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.