Alterations of connectivity are central to the systems-level pathophysiology of schizophrenia. One of the best-established genome-wide significant risk variants for this highly heritable disorder, the rs1344706 single nucleotide polymorphism in ZNF804A, was recently shown to modulate connectivity in healthy carriers during working memory (WM) in a pattern mirroring that which was found in overt disease. However, it was unclear whether this finding is specific to WM or if it is present regardless of cognitive state. Therefore, we examined genotype effects on connectivity in healthy carriers during rest and an emotion processing task without WM component. 111 healthy German subjects performed a battery of functional imaging tasks. Functional connectivity with the right dorsolateral prefrontal cortex during rest and an implicit emotion recognition task was determined using the seed voxel method and compared to results during WM. During rest and during the emotional task, a pattern of reduced interhemispheric prefrontal connectivity with increasing number of rs1344706 risk alleles could be seen that was close to identical to that during WM, suggesting a state-independent influence of the genetic variant on interhemispheric processing, possibly through structural effects. By contrast, the abnormal prefronto-hippocampal connectivity was only seen during the WM task, indicating a degree of task specificity in agreement with prior results in patients with schizophrenia. Our findings confirm a key role for disturbed functional connectivity in the genetic risk architecture of schizophrenia and identify cognitive state-dependent and independent components with regard to WM function.
"It was the first gene to reach genome-wide significance for psychosis (O'Donovan et al., 2008), and its association with both schizophrenia and bipolar disorder has been subsequently confirmed in multiple genome-wide association studies (GWASs; Riley et al., 2010; Williams et al., 2011; Zhang et al., 2011). Studies of the single nucleotide polymorphism (SNP) rs1344706 in both psychiatric patients and healthy risk allele carriers have demonstrated effects on white and gray matter volume, white matter tract integrity, functional connectivity (Esslinger et al., 2009; Lencz et al., 2010; Voineskos et al., 2011; Ikuta et al., 2014; Wei et al., 2015), and cognition (Hashimoto et al., 2010; Walters et al., 2010; Esslinger et al., 2011; Walter et al., 2011; Chen et al., 2012), indicating potential functional consequences of this gene variant. While these findings illustrate the potential wide-ranging effects of a ZNF804A polymorphism, little is known about the biological functions of the gene itself. "
"It is notable that we found ZNF804A-related changes in hippocampus-PFC coactivation in the resting state. This is in contrast to a previous study, which showed no ZNF804A-related differences in dorsolateral PFChippocampus functional connectivity at rest [Esslinger et al., 2011]. One reason for this discrepancy may be differences in the analysis approach used. "
"However, the exact functions of ZNF804A remain unknown . Some studies suggested that rs1344706 may be associated with brain structure and function   . To further explore whether the risk allele A of rs1344706 would increase the risk of schizophrenia in different populations, the present meta-analysis was performed to evaluate the association between rs1344706 and the risk of schizophrenia in Asian, Caucasian and other populations. "
[Show abstract][Hide abstract] 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). The Egger’s test (P > 0.05) and the 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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