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MECP2 duplication syndrome in a Chinese family

Overview of attention for article published in BMC Medical Genomics, December 2015
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Title
MECP2 duplication syndrome in a Chinese family
Published in
BMC Medical Genomics, December 2015
DOI 10.1186/s12881-015-0264-0
Pubmed ID
Authors

Qingping Zhang, Ying Zhao, Yanling Yang, Xinhua Bao

Abstract

Methyl-CpG-binding protein 2 (MeCP2) is a key transcriptional regulator of gene expression in the maintenance and development of the central nervous system. Loss- or gain-function of this gene may contribute to neurodevelopmental disorders. The aim of this study is to delineate the clinical characteristics of MECP2 duplication syndrome and the hereditary mechanism in a Chinese family. We identified a Chinese family with three persons carry MECP2 gene duplication: a boy, his mother and his grandmother. The duplication segment which was detected by multiplex ligation-dependent probe amplification (MLPA) included gene MECP2, interleukin-1 receptor-associated kinase 1 (IRAK1), filamin A (FLNA), and L1 cell adhesion molecule (L1CAM). Furthermore, array comparative genomic hybridization (aCGH) was performed on the mother, showed that MECP2 containing duplication was 510 Kb (153,113,885-153,624,154), including 16 other genes except MECP2. The boy showed most symptoms of MECP2 duplication syndrome. His mother and maternal grandmother were asymptomatic. Both female carriers had a skewed X chromosome inactivation (XCI), which were 80:20 and 74:26 respectively. To our knowledge, this is the second reported Chinese Han family with MECP2-containing duplications. And this patient had recurrent respiratory infections which was different from the first two Chinese-brother cases. MECP2 is the core gene responsible for MECP2 duplication syndrome. XCI may play an important role in modulating the clinical manifestation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 19%
Other 3 14%
Student > Ph. D. Student 3 14%
Researcher 3 14%
Student > Master 1 5%
Other 3 14%
Unknown 4 19%
Readers by discipline Count As %
Medicine and Dentistry 4 19%
Agricultural and Biological Sciences 4 19%
Nursing and Health Professions 2 10%
Immunology and Microbiology 2 10%
Biochemistry, Genetics and Molecular Biology 1 5%
Other 4 19%
Unknown 4 19%
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 17 December 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
#338,310
of 395,894 outputs
Outputs of similar age from BMC Medical Genomics
#38
of 43 outputs
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