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Influence of CFH gene on symptom severity of schizophrenia

Overview of attention for article published in Neuropsychiatric Disease and Treatment, March 2017
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Title
Influence of CFH gene on symptom severity of schizophrenia
Published in
Neuropsychiatric Disease and Treatment, March 2017
DOI 10.2147/ndt.s132108
Pubmed ID
Authors

Chen Zhang, Qinyu Lv, Weixing Fan, Wei Tang, Zhenghui Yi

Abstract

Recent advances have provided compelling evidence for the role of excessive complement activity in the pathophysiology of schizophrenia. In this study, we aimed to detect the association of the gene encoding complement factor H (CFH), a regulator in complement activation, with schizophrenia. A sample of 1783 individuals with or without schizophrenia was recruited for genetic analysis. Genomic DNA samples were extracted from peripheral blood cells using multiplex polymerase chain reaction and the SNaPshot assay. A Database for Schizophrenia Genetic Research (SZDB) was used to detect the association of brain CFH expression with schizophrenia. Next, we performed a genotype-phenotype analysis to identify the relationship between CFH Y402H polymorphism and clinical features of schizophrenia. There was a significant association of hippocampal CFH expression with schizophrenia (P=0.017), whereas this significance did not survive after adjusting for false discovery rate (P=0.105). Comparing the genotype and allele frequencies of the genotyped single-nucleotide polymorphisms between case and control groups showed no significant difference. There were significant differences in the scores of negative symptoms and delayed memory between the patients with C allele and those without C allele (P<0.01 and P=0.04 after Bonferroni correction, respectively). Furthermore, we observed a marginally significant association between the Y402H polymorphism and CFH expression in the hippocampus (P=0.051); however, this significance was lost after multiple testing correction (P=0.51, after Bonferroni correction). Our findings provide suggestive evidence for the role of CFH in the development of negative symptoms and cognitive dysfunction in schizophrenia.

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Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 30%
Student > Bachelor 2 10%
Student > Ph. D. Student 2 10%
Student > Doctoral Student 1 5%
Lecturer 1 5%
Other 0 0%
Unknown 8 40%
Readers by discipline Count As %
Psychology 4 20%
Medicine and Dentistry 3 15%
Biochemistry, Genetics and Molecular Biology 2 10%
Social Sciences 1 5%
Neuroscience 1 5%
Other 0 0%
Unknown 9 45%
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 03 March 2017.
All research outputs
#20,110,957
of 25,584,565 outputs
Outputs from Neuropsychiatric Disease and Treatment
#2,171
of 3,120 outputs
Outputs of similar age
#238,657
of 324,971 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#57
of 87 outputs
Altmetric has tracked 25,584,565 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 3,120 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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