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A replication study of schizophrenia-related rare copy number variations in a Han Southern Chinese population

Overview of attention for article published in Hereditas, January 2017
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Title
A replication study of schizophrenia-related rare copy number variations in a Han Southern Chinese population
Published in
Hereditas, January 2017
DOI 10.1186/s41065-016-0025-x
Pubmed ID
Authors

Jianmin Yuan, Jianlin Hu, Zhiqiang Li, Fuquan Zhang, Dexiang Zhou, Chunhui Jin

Abstract

Schizophrenia (SCZ) is a common, complex and severe psychiatric disorder associated with many different genetic and environmental risk factors. Evidence from genetic studies has revealed the role of genome structural variations, specifically copy number variants (CNVs), in the etiology of SCZ. Nevertheless, the occurrence of CNVs and their relation to SCZ has remained relatively unstudied in the diverse Han Chinese population. We used a case/control paradigm, including 476 cases and 1023 controls. All samples were genotyped using the Axiom® Exome Genotyping Arrays. Four CNVs, including two deletions and two duplications, were detected in this study. Notably, the 16p11.2 duplication from 29.3 Mb to 29.6 Mb was detected in four cases (0.84%) and one control (0.098%) (p = 0.0377). The results highlight the potential role of these deletions and duplications in the development of SCZ. Clearly, larger sample sized studies are needed for a careful localization of these CNVs and to possibly detect more deletions and/or duplications, associated with the development of SCZ in the Han Chinese population.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 4%
Unknown 26 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 26%
Student > Bachelor 5 19%
Researcher 3 11%
Other 2 7%
Student > Master 2 7%
Other 3 11%
Unknown 5 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 22%
Medicine and Dentistry 5 19%
Agricultural and Biological Sciences 3 11%
Social Sciences 3 11%
Computer Science 2 7%
Other 2 7%
Unknown 6 22%

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 18 January 2017.
All research outputs
#6,806,343
of 8,932,566 outputs
Outputs from Hereditas
#139
of 178 outputs
Outputs of similar age
#218,325
of 306,787 outputs
Outputs of similar age from Hereditas
#2
of 3 outputs
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So far Altmetric has tracked 178 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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