SynthesisGenomics, proteomics & bioinformatics2014
Association between rs1344706 of ZNF804A and schizophrenia: a meta-analysis.
Synthesis in Genomics, proteomics & bioinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 13 citations in OpenAlex.
- A preliminary metabolomics study of the database for biological samples of schizophrenia among Chinese ethnic minorities.BMC psychiatry · 2024Article
- Data on association of the variation (rs1344706) in the ZNF804A gene with schizophrenia and its symptoms in the Russian population.Data in brief · 2019Article
- Analyzing a single nucleotide polymorphism in schizophrenia: a meta-analysis approach.Neuropsychiatric disease and treatment · 2017Article
- Molecular anatomy of the thalamic complex and the underlying transcription factors.Brain structure & function · 2016Article
- Theory of mind network activity is altered in subjects with familial liability for schizophrenia.Social cognitive and affective neuroscience · 2016Article
- Genetic Consideration of Schizotypal Traits: A Review.Frontiers in psychology · 2016Review
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Schizophrenia is one of the most serious mental diseases found in humans. Previous studies indicated that the single nucleotide polymorphism (SNP) rs1344706 in the gene ZNF804A encoding zinc finger protein 804A was associated with schizophrenia in Caucasian population but not in Chinese Han population. However, current results are conflicting in Asian population. In the present study, a meta-analysis was performed to revisit the association between rs1344706 and the risk of schizophrenia in Asian, Caucasian and other populations. Electronic search of PubMed database identified 25 case-control studies with available genotype frequencies of rs1344706 for the meta-analysis, involving a total of 15,788 cases and 22,654 controls. A pooled odds ratio (OR) with 95% confidence interval (CI) was used to assess the association. The current meta-analysis showed an association between rs1344706 and schizophrenia in Caucasian populations (P=0.028, OR=1.138, 95% CI: 1.014-1.278; P=0.004 for heterogeneity) and Asian populations (P=0.008, OR=1.092, 95% CI: 1.023-1.165; P=0.001 for heterogeneity), but not in other populations (P=0.286, OR=1.209, 95% CI: 0.853-1.714, P=0.120 for heterogeneity). Egger's test (P>0.05) and Begg's test (P>0.05) are both suggestive of the lack of publication bias for the included studies. Thus, the absence of association in other populations suggests a genetic heterogeneity in the susceptibility of schizophrenia and demonstrates the difficulties in replicating genome-wide association study findings regarding schizophrenia across different ethnic populations. To validate the association between rs1344706 and schizophrenia, further studies with larger participant populations worldwide are needed.
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