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The phenotypic spectrum of proximal 6q deletions based on a large cohort derived from social media and literature reports

Overview of attention for article published in European Journal of Human Genetics, June 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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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23 X users
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Title
The phenotypic spectrum of proximal 6q deletions based on a large cohort derived from social media and literature reports
Published in
European Journal of Human Genetics, June 2018
DOI 10.1038/s41431-018-0172-9
Pubmed ID
Authors

Aafke Engwerda, Barbara Frentz, A. Lya den Ouden, Boudien C. T. Flapper, Morris A. Swertz, Erica H. Gerkes, Mirjam Plantinga, Trijnie Dijkhuizen, Conny M. A. van Ravenswaaij-Arts

Abstract

Proximal 6q (6q11-q15) deletions are extremely rare and little is known about their phenotypic consequences. Since parents and caregivers now use social media to seek information on rare disorders, the Chromosome 6 Project has successfully collaborated with a Facebook group to collect data on individuals worldwide. Here we describe a cohort of 20 newly identified individuals and 25 literature cases with a proximal 6q deletion. Microarray results and phenotype data were reported directly by parents via a multilingual online questionnaire. This led to phenotype descriptions for five subregions of proximal 6q deletions; comparing the subgroups revealed that 6q11q14.1 deletions presented less severe clinical characteristics than 6q14.2q15 deletions. Gastroesophageal reflux, tracheo/laryngo/bronchomalacia, congenital heart defects, cerebral defects, seizures, and vision and respiratory problems were predominant in those with 6q14.2q15 deletions. Problems related to connective tissue (hypermobility, hernias and foot deformities) were predominantly seen in deletions including the COL12A1 gene (6q13). Congenital heart defects could be linked to deletions of MAP3K7 (6q15) or TBX18 (6q14.3). We further discuss the role of ten genes known or assumed to be related to developmental delay and/or autism (BAI3, RIMS1, KCNQ5, HTR1B, PHIP, SYNCRIP, HTR1E, ZNF292, AKIRIN2 and EPHA7). The most influential gene on the neurodevelopmental phenotype seems to be SYNCRIP (6q14.3), while deletions that include more than two of these genes led to more severe developmental delay. We demonstrate that approaching individuals via social media and collecting data directly from parents is a successful strategy, resulting in better information to counsel families.

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The data shown below were collected from the profiles of 23 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 22%
Researcher 8 14%
Student > Ph. D. Student 8 14%
Other 6 10%
Student > Bachelor 6 10%
Other 3 5%
Unknown 14 24%
Readers by discipline Count As %
Medicine and Dentistry 14 24%
Biochemistry, Genetics and Molecular Biology 9 16%
Nursing and Health Professions 4 7%
Neuroscience 4 7%
Psychology 3 5%
Other 7 12%
Unknown 17 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 29 August 2018.
All research outputs
#1,909,871
of 23,132,033 outputs
Outputs from European Journal of Human Genetics
#383
of 3,462 outputs
Outputs of similar age
#42,734
of 329,038 outputs
Outputs of similar age from European Journal of Human Genetics
#9
of 65 outputs
Altmetric has tracked 23,132,033 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,462 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one has done well, scoring higher than 88% 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 329,038 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 87% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.