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Association study of stuttering candidate genes GNPTAB, GNPTG and NAGPA with dyslexia in Chinese population

Overview of attention for article published in BMC Genomic Data, February 2015
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Title
Association study of stuttering candidate genes GNPTAB, GNPTG and NAGPA with dyslexia in Chinese population
Published in
BMC Genomic Data, February 2015
DOI 10.1186/s12863-015-0172-5
Pubmed ID
Authors

Huan Chen, Junquan Xu, Yuxi Zhou, Yong Gao, Guoqing Wang, Jiguang Xia, Michael SY Huen, Wai Ting Siok, Yuyang Jiang, Li Hai Tan, Yimin Sun

Abstract

BackgroundDyslexia is a polygenic speech and language disorder characterized by an unexpected difficulty in reading in children and adults despite normal intelligence and schooling. Increasing evidence reveals that different speech and language disorders could share common genetic factors. As previous study reported association of GNPTAB, GNPTG and NAGPA with stuttering, we investigated these genes with dyslexia through association analysis.ResultsThe study was carried out in an unrelated Chinese cohort with 502 dyslexic individuals and 522 healthy controls. In all, 21 Tag SNPs covering GNPTAB, GNPTG and NAGPA were subjected to genotyping. Association analysis was performed on all SNPs. Significant association of rs17031962 in GNPTAB and rs882294 in NAGPA with developmental dyslexia was identified after FDR correction for multiple comparisons.ConclusionOur results revealed that the stuttering risk genes GNPTAB and NAGPA might also associate with developmental dyslexia in the Chinese population.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 17%
Researcher 6 12%
Student > Postgraduate 5 10%
Student > Bachelor 4 8%
Student > Doctoral Student 4 8%
Other 9 17%
Unknown 15 29%
Readers by discipline Count As %
Psychology 7 13%
Biochemistry, Genetics and Molecular Biology 5 10%
Agricultural and Biological Sciences 5 10%
Neuroscience 4 8%
Medicine and Dentistry 4 8%
Other 9 17%
Unknown 18 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 February 2015.
All research outputs
#19,944,994
of 25,374,647 outputs
Outputs from BMC Genomic Data
#786
of 1,204 outputs
Outputs of similar age
#254,105
of 360,630 outputs
Outputs of similar age from BMC Genomic Data
#18
of 29 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.