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Objective: Schizophrenia, the most common major psychiatric disorder (or group of disorders), entails severe decline of higher functions, principally with alterations in cognitive functioning and reality perception. Both genetic and environmental factors are involved in its pathogenesis; however, its genetic background still needs to be clarified. The objective of the study was to reveal genetic markers associated with schizophrenia in the Bulgarian population., Methods: We have conducted a genome-wide association study using 554 496 single nucleotide polymorphisms (SNPs) in 188 affected and 376 unaffected Bulgarian individuals. Subsequently, the 100 candidate SNPs that revealed the smallest P-values were further evaluated in an additional set of 99 case and 328 control samples., Results: We found a significant association between schizophrenia and the intronic SNP rs7527939 in the HHAT gene (P-value of 6.49×10 with an odds ratio of 2.63, 95% confidence interval of 1.89-3.66). We also genotyped additional SNPs within a 58-kb linkage disequilibrium block surrounding the landmark SNP., Conclusion: We suggest rs7527939 to be the strongest indicator of susceptibility to schizophrenia in the Bulgarian population within the HHAT locus.

Background: Copy number variants (CNVs) have been shown to increase the risk to develop schizophrenia. The best supported findings are at 1q21.1, 15q11.2, 15q13.3, and 22q11.2 and deletions at the gene neurexin 1 (NRXN1)., Methods: In this study, we used Affymetrix 5.0 arrays to investigate the role of rare CNVs in 575 patients with schizophrenia and 564 control subjects from Japan., Results: There was a nonsignificant trend for excess of rare CNVs in schizophrenia (p = .087); however, we did not confirm the previously implicated association for very large CNVs (>500 kilobase [kb]) in this population. We provide support for three previous findings in schizophrenia, as we identified one deletion in a case at 1q21.1, one deletion within NRXN1, and four duplications in cases and one in a control subject at 16p13.1, a locus first implicated in autism and later in schizophrenia., Conclusions: In this population, we support some of the previous findings in schizophrenia but could not find an increased burden of very large (>500 kb) CNVs, which was proposed recently. However, we provide support for the role of CNVs at 16p13.1, 1q21.1, and NRXN1., (Copyright 2010 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.)

The development of molecular psychiatry in the last few decades identified a number of candidate genes that could be associated with schizophrenia. A great number of studies often result with controversial and non-conclusive outputs. However, it was determined that each of the implicated candidates would independently have a minor effect on the susceptibility to that disease. Herein we report results from our replication study for association using 255 Bulgarian patients with schizophrenia and schizoaffective disorder and 556 Bulgarian healthy controls. We have selected from the literatures 202 single nucleotide polymorphisms (SNPs) in 59 candidate genes, which previously were implicated in disease susceptibility, and we have genotyped them. Of the 183 SNPs successfully genotyped, only 1 SNP, rs6277 (C957T) in the DRD2 gene (P=0.0010, odds ratio=1.76), was considered to be significantly associated with schizophrenia after the replication study using independent sample sets. Our findings support one of the most widely considered hypotheses for schizophrenia etiology, the dopaminergic hypothesis.

Background: There is support that Neuregulin 1 (NRG1) plays a role in susceptibility to schizophrenia but limited evidence for its involvement in bipolar disorder. We wished to investigate further the involvement of NRG1 in schizophrenia and bipolar disorder., Methods: We used hierarchical association analysis in parent-offspring trios, 634 with schizophrenia/schizoaffective disorder (SZ/SA) and 243 with bipolar 1 disorder (BP1). The primary analysis was the markers defining the "core Icelandic haplotype" (HAP(ICE)). We undertook polymorphism discovery, additional genotyping, and also explored phenotypic associations, as a secondary analysis aimed at refining the signal., Results: The initial global haplotype test yielded significant evidence for association (p = .01) with SZ/SA and BP1 (p = .004), although HAP(ICE) was not overtransmitted. The marker showing strongest evidence for association in the deCODE studies, SNP8NRG221533, was associated with SZ/SA (p(corrected) = .039) and with BP1 (p(corrected) = .039), with BP1 showing association to the opposite allele as SZ/SA. The pattern of transmission at SNP8NRG221533 was significantly different in SZ/SA than in BP1 (p = .0004). Secondary analyses of markers and phenotypes provided no additional evidence for association to SZ/SA. However, a new marker, rs7014762, was associated with an a priori defined "typical" bipolar phenotype characterized by excellent recovery between episodes and no mood incongruent features (p(corrected) = .003)., Conclusions: Our data provide significant levels of support for NRG1 as a susceptibility gene for both major forms of psychosis, and this cannot be interpreted as being due to population stratification. More tentatively, they also might indicate the presence of multiple alleles that influence the psychosis phenotype.

Background: Several linkage studies suggest that chromosome 5q31-32 might contain risk loci for schizophrenia (SZ). We wanted to identify susceptibility genes for schizophrenia within this region., Methods: We saturated the interval between markers D5S666 and D5S436 with 90 polymorphic microsatellite markers and genotyped two sets of DNA pools consisting of 300 SZ patients of Bulgarian origin and their 600 parents. Positive associations were followed-up with SNP genotyping., Results: Nominally significant evidence for association (p < 0.05) was found for seven markers (D5S0023i, IL9, RH60252, 5Q3133&#95;33, D5S2017, D5S1481, D5S0711i) which were then individually genotyped in the trios. The predicted associations were confirmed for two of the markers: D5S2017, localised in the SPRY4-FGF1 locus (p = 0.004) and IL9, localized within the IL9 gene (p = 0.014). Fine mapping was performed using single nucleotide polymorphisms (SNPs) around D5S2017 and IL9. In each region four SNPs were chosen and individually genotyped in our full sample of 615 SZ trios. Two SNPs showed significant evidence for association: rs7715300 (p = 0.001) and rs6897690 (p = 0.032). Rs7715300 is localised between the TGFBI and SMAD5 genes and rs6897690 is within the SPRY4 gene., Conclusion: Our screening of 5q31-32 implicates three potential candidate genes for SZ: SMAD5, TGFBI and SPRY4.