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Analyzing a single nucleotide polymorphism in schizophrenia: a meta-analysis approach

Overview of attention for article published in Neuropsychiatric Disease and Treatment, August 2017
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Title
Analyzing a single nucleotide polymorphism in schizophrenia: a meta-analysis approach
Published in
Neuropsychiatric Disease and Treatment, August 2017
DOI 10.2147/ndt.s111900
Pubmed ID
Authors

Oluwadamilare Falola, Victor Chukwudi Osamor, Marion Adebiyi, Ezekiel Adebiyi

Abstract

Schizophrenia is a severe mental disorder affecting >21 million people worldwide. Some genetic studies reported that single nucleotide polymorphism (SNP) involving variant rs1344706 from the ZNF804A gene in human beings is associated with the risk of schizophrenia in several populations. Similar results tend to conflict with other reports in literature, indicating that no true significant association exists between rs1344706 and schizophrenia. We seek to determine the level of association of this SNP with schizophrenia in the Asian population using more recent genome-wide association study (GWAS) datasets. Applying a computational approach with inclusion of more recent GWAS datasets, we conducted a meta-analysis to examine the level of association of SNP rs1344706 and the risk of schizophrenia disorder among the Asian population constituting Chinese, Indonesians, Japanese, Kazakhs and Singaporeans. For a total of 21 genetic studies, including a total of 28,842 cases and 35,630 controls, regression analysis, publication bias, Cochran's Q and I(2) tests were performed. The DerSimonian and Laird random-effects model was used to assess the association of the genetic variant to schizophrenia. Leave-one-out sensitivity analysis was also conducted to determine the influence of each study on the final outcome of the association study. Our summarized analysis for Asian population revealed a pooled odds ratio of 1.06, 95% confidence interval of 1.01-1.11 and two-tailed P-value of 0.0228. Our test for heterogeneity showed the presence of large heterogeneity (I(2)=53.44%, P =0.00207) and Egger's regression test (P =0.8763) and Begg's test (P =0.8347), indicating no presence of publication bias among our selected studies. In our sensitivity analysis, 10 different studies comprising of ~50% of the entire study had an impact on our final results as each leave-one-out test became insignificant. Our result suggests that genetic variant rs1344706 might be associated with the development of schizophrenia in Asians.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 18%
Student > Bachelor 6 15%
Student > Postgraduate 3 8%
Student > Ph. D. Student 2 5%
Student > Doctoral Student 1 3%
Other 5 13%
Unknown 15 38%
Readers by discipline Count As %
Neuroscience 4 10%
Biochemistry, Genetics and Molecular Biology 3 8%
Agricultural and Biological Sciences 3 8%
Nursing and Health Professions 2 5%
Computer Science 2 5%
Other 7 18%
Unknown 18 46%
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 09 September 2017.
All research outputs
#19,951,180
of 25,382,440 outputs
Outputs from Neuropsychiatric Disease and Treatment
#2,192
of 3,131 outputs
Outputs of similar age
#238,297
of 327,503 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#49
of 80 outputs
Altmetric has tracked 25,382,440 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 3,131 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 25th percentile – i.e., 25% of its peers scored the same or lower than it.
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We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.