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Kabuki syndrome: a Chinese case series and systematic review of the spectrum of mutations

Overview of attention for article published in BMC Medical Genomics, April 2015
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Title
Kabuki syndrome: a Chinese case series and systematic review of the spectrum of mutations
Published in
BMC Medical Genomics, April 2015
DOI 10.1186/s12881-015-0171-4
Pubmed ID
Authors

Shuang Liu, Xiafei Hong, Cheng Shen, Quan Shi, Jian Wang, Feng Xiong, Zhengqing Qiu

Abstract

Kabuki syndrome is a rare hereditary disease affecting multiple organs. The causative genes identified to date are KMT2D and KDMA6. The aim of this study is to evaluate the clinical manifestations and the spectrum of mutations of KMT2D. We retrospectively retrieved a series of eight patients from two hospitals in China and conducted Sanger sequencing for all of the patients and their parents if available. We also reviewed the literature and plotted the mutation spectrum of KMT2D. The patients generally presented with typical clinical manifestations as previously reported in other countries. Uncommon symptoms included spinal bifida and Dandy-Walker malformation. With respect to the mutations, five mutations were found in five patients, including two frameshift indels, one nonsense mutation and two missense mutations. This is the first case series on Kabuki syndrome in Mainland China. Unusual symptoms, such as spinal bifida and Dandy-Walker syndrome, suggested that neurological developmental defects may accompany Kabuki syndrome. This case series helps broaden the mutation spectrum of Kabuki syndrome and adds information regarding the manifestations of Kabuki syndrome.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 6 17%
Other 4 11%
Student > Master 4 11%
Researcher 4 11%
Student > Ph. D. Student 4 11%
Other 8 22%
Unknown 6 17%
Readers by discipline Count As %
Medicine and Dentistry 13 36%
Biochemistry, Genetics and Molecular Biology 6 17%
Agricultural and Biological Sciences 4 11%
Nursing and Health Professions 2 6%
Unspecified 2 6%
Other 1 3%
Unknown 8 22%
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 21 April 2015.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from BMC Medical Genomics
#2,010
of 2,444 outputs
Outputs of similar age
#240,314
of 279,751 outputs
Outputs of similar age from BMC Medical Genomics
#43
of 44 outputs
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