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Erythropoietin (EPO) improves cognitive performance in clinical studies and rodent experiments. We hypothesized that an intrinsic role of EPO for cognition exists, with particular relevance in situations of cognitive decline, which is reflected by associations of EPO and EPO receptor (EPOR) genotypes with cognitive functions. To prove this hypothesis, schizophrenic patients (N > 1000) were genotyped for 5′ upstream-located gene variants, EPO SNP rs1617640 (T/G) and EPOR STR(GA)n. Associations of these variants were obtained for cognitive processing speed, fine motor skills and short-term memory readouts, with one particular combination of genotypes superior to all others (p < 0.0001). In an independent healthy control sample (N > 800), these associations were confirmed. A matching preclinical study with mice demonstrated cognitive processing speed and memory enhanced upon transgenic expression of constitutively active EPOR in pyramidal neurons of cortex and hippocampus. We thus predicted that the human genotypes associated with better cognition would reflect gain-of-function effects. Indeed, reporter gene assays and quantitative transcriptional analysis of peripheral blood mononuclear cells showed genotype-dependent EPO/EPOR expression differences. Together, these findings reveal a role of endogenous EPO/EPOR for cognition, at least in schizophrenic patients.

The present study explores whether ankyrin repeat and kinase domain containing 1 (ANKK1) and dopamine receptor D2 (DRD2) variants could predict efficacy and tolerability of haloperidol in the treatment of psychotic patients. We also attempted to replicate findings in a group of schizophrenic patients from the Clinical Antipsychotic Trials in Intervention Effectiveness (CATIE) study. Eighty-eight acutely psychotic patients were genotyped for 9 ANKK1 and 27 DRD2 SNPs. Treatment efficacy and tolerability were assessed using the Positive and Negative Symptoms Scale and the Udvalg for Kliniske Undersogelser side effects rating scales, respectively. Multivariate analyses were employed to test possible influences of single-nucleotide polymorphisms on clinical and safety variables. Analysis of haplotypes was also performed. Outcomes in the replication sample were response versus nonresponse and the presence versus absence of motor side effects at 1 month of treatment. rs2242592 within ANKK1 gene and rs1124493 within DRD2 gene were associated with clinical improvement (p = 0.008 and p = 0.001, respectively). Results were confirmed in the allelic analysis. Three haplotype blocks, one among ANKK1 and two among DRD2 gene were associated with better clinical improvement. Our results were not replicated in the CATIE sample, although rs11604671, which is in strong linkage disequilibrium with rs2242592, was associated with response in the replication sample. Our findings support a possible role of ANKK1 and DRD2 variability on haloperidol efficacy. However, due to the discrepancies between the results in the two samples, our results need further validation.

Personality can be thought of as a set of characteristics that influence people's thoughts, feelings and behavior across a variety of settings. Variation in personality is predictive of many outcomes in life, including mental health. Here we report on a meta-analysis of genome-wide association (GWA) data for personality in 10 discovery samples (17 375 adults) and five in silico replication samples (3294 adults). All participants were of European ancestry. Personality scores for Neuroticism, Extraversion, Openness to Experience, Agreeableness and Conscientiousness were based on the NEO Five-Factor Inventory. Genotype data of similar to 2.4M single-nucleotide polymorphisms (SNPs; directly typed and imputed using HapMap data) were available. In the discovery samples, classical association analyses were performed under an additive model followed by meta-analysis using the weighted inverse variance method. Results showed genome-wide significance for Openness to Experience near the RASA1 gene on 5q14.3 (rs1477268 and rs2032794, P = 2.8 x 10(-8) and 3.1 x 10(-8)) and for Conscientiousness in the brain-expressed KATNAL2 gene on 18q21.1 (rs2576037, P = 4.9 x 10(-8)). We further conducted a gene-based test that confirmed the association of KATNAL2 to Conscientiousness. In silico replication did not, however, show significant associations of the top SNPs with Openness and Conscientiousness, although the direction of effect of the KATNAL2 SNP on Conscientiousness was consistent in all replication samples. Larger scale GWA studies and alternative approaches are required for confirmation of KATNAL2 as a novel gene affecting Conscientiousness. Molecular Psychiatry (2012) 17, 337-349; doi: 10.1038/mp.2010.128; published online 21 December 2010

Schizophrenia is a severe complex mental disorder affecting 0.5-1% of the world population. To date, diagnosis of the disease is mainly based on personal and thus subjective interviews. The underlying molecular mechanism of schizophrenia is poorly understood. Using targeted metabolomics we quantified and compared 103 metabolites in plasma samples from 216 healthy controls and 265 schizophrenic patients, including 52 cases that do not take antipsychotic medication. Compared with healthy controls, levels of five metabolites were found significantly altered in schizophrenic patients (P-values ranged from 2.9 × 10(-8) to 2.5 × 10(-4)) and in neuroleptics-free probands (P-values ranging between 0.006 and 0.03), respectively. These metabolites include four amino acids (arginine, glutamine, histidine and ornithine) and one lipid (PC ae C38:6) and are suggested as candidate biomarkers for schizophrenia. To explore the genetic susceptibility on the associated metabolic pathways, we constructed a molecular network connecting these five aberrant metabolites with 13 schizophrenia risk genes. Our result implicated aberrations in biosynthetic pathways linked to glutamine and arginine metabolism and associated signaling pathways as genetic risk factors, which may contribute to patho-mechanisms and memory deficits associated with schizophrenia. This study illustrated that the metabolic deviations detected in plasma may serve as potential biomarkers to aid diagnosis of schizophrenia.

We previously investigated a sample of patients during an active phase of psychosis in the search for genetic predictors of haloperidol induced side effects. In the present work we extend the genetic association analysis to a wider panel of genetic variations, including 508 variations located in 96 genes. The original sample included 96 patients. An independent group of 357 patients from the CATIE study served as a replication sample. Outcomes in the investigation sample were the variation through time of: 1) the ESRS and UKU total scores 2) ESRS and UKU subscales (neurologic and psychic were included) related to tremors and 3) ESRS and UKU subscales that do not relate to tremors. Outcome in the replication sample was the presence vs absence of motoric side effects from baseline to visit 1 (~ one month of treatment) as assessed by the AIMS scale test. Rs2242480 located in the CYP3A4 was associated with a different distribution of the UKU neurologic scores through time (permutated p = 0.047) along with a trend for a different haloperidol plasma levels (lower in CC subjects). This finding was not replicated in the CATIE sample. In conclusion, we did not find conclusive evidence for a major association between the investigated variations and haloperidol induced motoric side effects.

Convergent evidence from pharmacological and animal studies suggests a possible role for the synaptic vesicle glycoprotein 2A gene (SV2A) in schizophrenia susceptibility. To test systematically all common variants in the SV2A gene region for an association with schizophrenia, we used a HapMap-based haplotype tagging approach and tested five SNPs in 794 patients and 843 controls. The SNP rs15931 showed evidence for an association with schizophrenia and was followed-up in an independent sample of 2581 individuals (overall p-value = 0.0042, OR = 0.779). Our study in the German population provides evidence, at a genetic level, for the involvement of the SV2A gene region in schizophrenia.

Background and Aims: Time of onset of antipsychotic action is still a debated matter. We aimed to replicate and extend previous findings that early response can predict subsequent non-response. Methods: 86 acutely psychotic patients treated with haloperidol were studied. Results: A PANSS reduction ≤16% at 1 week predicts non-response at 3 weeks of treatment (specificity 92%, sensitivity 82%). Conversely, a PANSS reduction ≥23% at 1 week of treatment predicts response at 3 weeks, with a specificity of 84% and a sensitivity of 86%. Conclusion: Our results confirm that an early response to antipsychotic treatment accurately predicts the treatment effectiveness and extends it to a prediction performed as early as 1 week.

Recent molecular studies have implicated common alleles of small to moderate effect and rare alleles with larger effect sizes in the genetic architecture of schizophrenia (SCZ). It is expected that the reliable detection of risk variants with very small effect sizes can only be achieved through the recruitment of very large samples of patients and controls (that is tens of thousands), or large, potentially more homogeneous samples that have been recruited from confined geographical areas using identical diagnostic criteria. Applying the latter strategy, we performed a genome-wide association study (GWAS) of 1169 clinically well characterized and ethnically homogeneous SCZ patients from a confined area of Western Europe (464 from Germany, 705 from The Netherlands) and 3714 ethnically matched controls (1272 and 2442, respectively). In a subsequent follow-up study of our top GWAS results, we included an additional 2569 SCZ patients and 4088 controls (from Germany, The Netherlands and Denmark). Genetic variation in a region on chromosome 11 that contains the candidate genes AMBRA1, DGKZ, CHRM4 and MDK was significantly associated with SCZ in the combined sample (n = 11 540; P = 3.89 x 10(-9), odds ratio (OR) = 1.25). This finding was replicated in 23 206 independent samples of European ancestry (P = 0.0029, OR= 1.11). In a subsequent imaging genetics study, healthy carriers of the risk allele exhibited altered activation in the cingulate cortex during a cognitive control task. The area of interest is a critical interface between emotion regulation and cognition that is structurally and functionally abnormal in SCZ and bipolar disorder. Molecular Psychiatry (2012) 17, 906-917; doi: 10.1038/mp.2011.80; published online 12 July 2011

A genetic susceptibility to suicide attempts has been repeatedly suggested by family-, twin-, and adoption-studies. Because elevated impulsive aggression is one of the most prominent characteristics of suicide attempters and aggressive behavior has been reported in 5-HT1B receptor gene knockout mice, the serotonin receptor 1B gene (5-HT1B) is an attractive candidate. The distribution of a polymorphism (G861C) in the 5-HT1B gene was examined in 148 consecutively hospitalized German suicide attempters, and 327 German healthy volunteers randomly recruited from the general population. The controls and their first degree relatives had no history of mental disorders or suicidal behavior. We found no significant difference in allele or genotype frequency between patients and controls. The results did not differ when the patients were divided into several subgroups (gender, suicide attempters with a violent method or suicide attempters with unipolar-, bipolar-, borderline personality-, and schizophrenia spectrum disorders). These findings suggest that the 5-HT1B polymorphism is unlikely to play a major role in the genetic susceptibility to suicide attempts.

Schizophrenia is a devastating brain disease with high heritability: A major challenge in medicine is to understand mechanisms underlying severe mental diseases including schizophrenia, affecting 0,5–1% of the population. It mostly presents with several episodes and tends to become chronic. Ca. 30% of patients require support throughout their lives. The mode of inheritance is complex and non-Mendelian with a high heritability of ca. 80%. There is a long lasting assumption in psychiatric genetics that common genetic variants with small effects are enhancing the risk to develop e.g. schizophrenia. Although debated for some time, the other side of the coin namely that rare genetic variations with large effects may account for a significant number of schizophrenia cases has been somehow neglected. Rare structural genomic variants confer high risk for schizophrenia: CNVs are emerging as an important genomic cause of neuropsychiatric diseases, including mental retardation, autism and more recently schizophrenia. We identified specific microdeletions (at 1q21.1, 15q11.2 and 15q13.3) associated with schizophrenia in over 4700 schizophrenia cases and 40000 controls within the SGENE+ consortium. Furthermore, we examined NRXN1 for CNVs in 2977 schizophrenia patients and 33746 controls and found CNVs disrupting exons to be associated. All these findings could represent a decisive step towards understanding the causes of this severe mental disorder as well as developing new potential treatments. Additionally, we use complementary strategies to approach the pathobiology and genetics of schizophrenia including genetic association studies, animal and cell culture models as well as schizophrenia-related intermediate phenotypes. New results of our ongoing genome-wide association studies will be presented and discussed in the light of meta-analyses.

Background We have investigated which eye-movement tests alone and combined can best discriminate schizophrenia cases from control subjects and their predictive validity. Methods A training set of 88 schizophrenia cases and 88 controls had a range of eye movements recorded; the predictive validity of the tests was then examined on eye-movement data from 34 9-month retest cases and controls, and from 36 novel schizophrenia cases and 52 control subjects. Eye movements were recorded during smooth pursuit, fixation stability, and free-viewing tasks. Group differences on performance measures were examined by univariate and multivariate analyses. Model fitting was used to compare regression, boosted tree, and probabilistic neural network approaches. Results As a group, schizophrenia cases differed from control subjects on almost all eye-movement tests, including horizontal and Lissajous pursuit, visual scanpath, and fixation stability; fixation dispersal during free viewing was the best single discriminator. Effects were stable over time, and independent of sex, medication, or cigarette smoking. A boosted tree model achieved perfect separation of the 88 training cases from 88 control subjects; its predictive validity on retest assessments and novel cases and control subjects was 87.8%. However, when we examined the whole data set of 298 assessments, a cross-validated probabilistic neural network model was superior and could discriminate all cases from controls with near perfect accuracy at 98.3%. Conclusions Simple viewing patterns can detect eye-movement abnormalities that can discriminate schizophrenia cases from control subjects with exceptional accuracy.

While the use of population-based samples is a common strategy in genome-wide association studies (GWASs), family-based samples have considerable advantages, such as robustness against population stratification and false-positive associations, better quality control, and the possibility to check for both linkage and association. In a genome-wide linkage study of schizophrenia in Arab-Israeli families with multiple affected individuals, we previously reported significant evidence for a susceptibility locus at chromosome 6q23.2-q24.1 and suggestive evidence at chromosomes 10q22.3-26.3, 2q36.1-37.3 and 7p21.1-22.3. To identify schizophrenia susceptibility genes, we applied a family-based GWAS strategy in an enlarged, ethnically homogeneous, Arab-Israeli family sample. We performed genome-wide single nucleotide polymorphism (SNP) genotyping and single SNP transmission disequilibrium test association analysis and found genome-wide significant association (best value of P=1.22×10(-11)) for 8 SNPs within or near highly reasonable functional candidate genes for schizophrenia. Of particular interest are a group of SNPs within and flanking the transcriptional factor LRRFIP1 gene. To determine replicability of the significant associations beyond the Arab-Israeli population, we studied the association of the significant SNPs in a German case-control validation sample and found replication of associations near the UGT1 subfamily and EFHD1 genes. Applying an exploratory homozygosity mapping approach as a complementary strategy to identify schizophrenia susceptibility genes in our Arab Israeli sample, we identified 8 putative disease loci. Overall, this GWAS, which emphasizes the important contribution of family based studies, identifies promising candidate genes for schizophrenia.

BACKGROUND: The glutamatergic system may be relevant to the pathophysiology of psychosis and to the effects of antipsychotic treatments.OBJECTIVES: We investigated a set of 62 SNPs located in genes coding for subunits of glutamatergic receptors (GAD1, GRIA1, GRIA3, GRIA4, GRID2, GRIK1, GRIK2, GRIK3, GRIK4, GRIN2B, GRM1 and GRM4), and the transporter of glycine (SLC6A5), as modulators of the effects of haloperidol.METHODS AND RESULTS: We studied a sample of 101 acutely ill psychotic patients. We then validated our result in two independent samples from Slovenia (n=71 and n=118) of schizophrenic patients treated with antipsychotics. We both investigated the antipsychotic effect (Positive and Negative Syndrome Scale) and motor side effect (Extrapyramidal Symptom Rating Scale) at baseline and days 3, 7, 14, 21 and 28. SLC6A5 variant (rs2298826) was found to be associated with a rapid rise of motor side effects at the beginning of the treatment (repeated measures of analysis of variance, P=0.0002), followed by a subsequent adaptation, probably dependent on haloperidol doses down titration. A specific effect was noted for dyskinetic symptoms. Haplotype analysis strengthened the relevance of SLC6A5: the C-A-C haplotype (rs1443548, rs883377, rs1945771) was found to be associated with higher Extrapyramidal symptom rating scale scores (overall P=0.01, haplotype P=0.000001). We successfully replicated this finding in the two independent samples from Slovenia.CONCLUSION: This result further stresses the relevance of the glutamatergic system in modulating the effects of haloperidol treatment, especially with regards to motor side effects.

RATIONALE: The antipsychotic pharmacological treatment effectiveness and side effects are at least partially driven by the genetic personal background.OBJECTIVES: In the present study, 71 genetic variations located in 21 candidate genes were investigated as modulators of the haloperidol efficacy and side effects in a sample of 101 acutely ill psychotic patients.METHODS: Patients were assessed at days 0, 7, 14, 21, and 28 (Positive and Negative Syndrome Scale (PANSS) test) and days 1, 3, 7, 14, 21, and 28 (UKU, BAS, and ESRS tests). Haloperidol plasma levels were measured at the same timepoints.RESULTS: None of the 71 variations were associated with response to treatment or with incidence of side effects passed a multiple testing threshold. A marginal association was detected between two haplotypes within the signal transducer and activator of transcription 4 gene and PANSS positive and dopamine beta-hydroxylase with PANSS negative scores (p = 0.004 and p = 0.008, respectively).CONCLUSIONS: In conclusion, no major association was observed between the investigated variations and the efficacy profile of haloperidol.

Suicide, one of the leading causes of death among young adults, seems to be plausibly modulated by both genetic and personality factors. The aim of this study was to dissect the potential association between genetics and temperament in a sample of 111 suicide attempters and 289 healthy controls. We focused on 4 genes previously investigated in association with suicide on the same sample: the nitric oxide synthase 1 and 3 (NOS1 and NOS3), the neuronal cell adhesion molecule 1 (NCAM1), and the tachykinin receptor 1 (TACR1) genes. In particular, we investigated whether a set of genetic variants in these genes (NOS1: rs2682826, rs1353939, rs693534; NOS3: rs2070744, rs1799983, rs891512; NCAM1: rs2301228, rs1884, rs1245113, rs1369816, rs2196456, rs584427; TACR1: rs3771810, rs3771825, rs726506, rs1477157) were associated with temperamental traits at the Temperament and Character Inventory (TCI). No strong evidence was found for the association between TCI personality traits and the polymorphisms considered in the 4 genes, with the exception of an association between reward dependence trait and the rs2682826 SNP in NOS1 in the healthy sample. However, this result could be plausibly interpreted as a false-positive finding. In conclusion, our study did not support the thesis of a direct modulation of these genes on temperament; however, further studies on larger samples are clearly required in order to confirm our preliminary findings and to exclude any possible minor influence. © 2011 S. Karger AG, Basel.

We conducted data-mining analyses using the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) and molecular genetics of schizophrenia genome-wide association study supported by the genetic association information network (MGS-GAIN) schizophrenia data sets and performed bioinformatic prioritization for all the markers with P-values ≤0.05 in both data sets. In this process, we found that in the CMYA5 gene, there were two non-synonymous markers, rs3828611 and rs10043986, showing nominal significance in both the CATIE and MGS-GAIN samples. In a combined analysis of both the CATIE and MGS-GAIN samples, rs4704591 was identified as the most significant marker in the gene. Linkage disequilibrium analyses indicated that these markers were in low LD (3 828 611–rs10043986, r2 = 0.008; rs10043986–rs4704591, r2 = 0.204). In addition, CMYA5 was reported to be physically interacting with the DTNBP1 gene, a promising candidate for schizophrenia, suggesting that CMYA5 may be involved in the same biological pathway and process. On the basis of this information, we performed replication studies for these three single-nucleotide polymorphisms. The rs3828611 was found to have conflicting results in our Irish samples and was dropped out without further investigation. The other two markers were verified in 23 other independent data sets. In a meta-analysis of all 23 replication samples (family samples, 912 families with 4160 subjects; case–control samples, 11 380 cases and 15 021 controls), we found that both markers are significantly associated with schizophrenia (rs10043986, odds ratio (OR) = 1.11, 95% confidence interval (CI) = 1.04–1.18, P = 8.2 × 10−4 and rs4704591, OR = 1.07, 95% CI = 1.03–1.11, P = 3.0 × 10−4). The results were also significant for the 22 Caucasian replication samples (rs10043986, OR = 1.11, 95% CI = 1.03–1.17, P = 0.0026 and rs4704591, OR = 1.07, 95% CI = 1.02–1.11, P = 0.0015). Furthermore, haplotype conditioned analyses indicated that the association signals observed at these two markers are independent. On the basis of these results, we concluded that CMYA5 is associated with schizophrenia and further investigation of the gene is warranted.

To access publisher full text version of this article. Please click on the hyperlink in Additional Links field. BACKGROUND: Schizophrenia is associated with increased risk of type II diabetes and metabolic disorders. However, it is unclear whether this comorbidity reflects shared genetic risk factors, at-risk lifestyle, or side effects of antipsychotic medication. METHODS: Eleven known risk variants of type II diabetes were genotyped in patients with schizophrenia in a sample of 410 Danish patients, each matched with two healthy control subjects on sex, birth year, and month. Replication was carried out in a large multinational European sample of 4089 patients with schizophrenia and 17,597 controls (SGENE+) using Mantel-Haenszel test. RESULTS: One type II diabetes at-risk allele located in TCF7L2, rs7903146 [T], was associated with schizophrenia in the discovery sample (p = .0052) and in the replication with an odds ratio of 1.07 (95% confidence interval 1.01-1.14, p = .033). CONCLUSION: The association reported here with a well-known diabetes variant suggests that the observed comorbidity is partially caused by genetic risk variants. This study also demonstrates how genetic studies can successfully examine an epidemiologically derived hypothesis of comorbidity. European Union LSHM-CT-2006-037761 info:eu-repo/grantAgreement/EC/FP7/218251 Copenhagen Hospital Corporation Danish National Psychiatric Research Foundation Danish Agency for Science, Technology and Innovation (Centre for Pharmacogenomics) Danish Medical Research Council Research Council of Norway 167153/v50 163070/V50 Norwegian South-Eastern Health Authority 123-2004 University of Oslo Oslo University Hospital Eli Lilly, Inc.

A trio of genome-wide association studies recently reported sequence variants at three loci to be significantly associated with schizophrenia. No sequence polymorphism had been unequivocally (P5 × 10 8) associated with schizophrenia earlier. However, one variant, rs1344706T, had come very close. This polymorphism, located in an intron of ZNF804A, was reported to associate with schizophrenia with a P-value of 1.6 × 10 7, and with psychosis (schizophrenia plus bipolar disorder) with a P-value of 1.0 × 10 8. In this study, using 5164 schizophrenia cases and 20 709 controls, we replicated the association with schizophrenia (odds ratio OR1.08, P0.0029) and, by adding bipolar disorder patients, we also confirmed the association with psychosis (added N609, OR1.09, P0.00065). Furthermore, as it has been proposed that variants such as rs1344706Tcommon and with low relative riskmay also serve to identify regions harboring less common, higher-risk susceptibility alleles, we searched ZNF804A for large copy number variants (CNVs) in 4235 psychosis patients, 1173 patients with other psychiatric disorders and 39 481 controls. We identified two CNVs including at least part of ZNF804A in psychosis patients and no ZNF804A CNVs in controls (P0.013 for association with psychosis). In addition, we found a ZNF804A CNV in an anxiety patient (P0.0016 for association with the larger set of psychiatric disorders). © 2011 Macmillan Publishers Limited All rights reserved., link_to_OA_fulltext

Recently, genetic association findings for nicotine dependence, smoking behavior, and smoking-related diseases converged to implicate the chromosome 15q25.1 region, which includes the CHRNA5-CHRNA3-CHRNB4 cholinergic nicotinic receptor subunit genes. In particular, association with the nonsynonymous CHRNA5 SNP rs16969968 and correlates has been replicated in several independent studies. Extensive genotyping of this region has suggested additional statistically distinct signals for nicotine dependence, tagged by rs578776 and rs588765. One goal of the Consortium for the Genetic Analysis of Smoking Phenotypes (CGASP) is to elucidate the associations among these markers and dichotomous smoking quantity (heavy versus light smoking), lung cancer, and chronic obstructive pulmonary disease (COPD). We performed a meta-analysis across 34 datasets of European-ancestry subjects, including 38,617 smokers who were assessed for cigarettes-per-day, 7,700 lung cancer cases and 5,914 lung-cancer-free controls (all smokers), and 2,614 COPD cases and 3,568 COPD-free controls (all smokers). We demonstrate statistically independent associations of rs16969968 and rs588765 with smoking (mutually adjusted p-values, Author Summary Nicotine binds to cholinergic nicotinic receptors, which are composed of a variety of subunits. Genetic studies for smoking behavior and smoking-related diseases have implicated a genomic region that encodes the alpha5, alpha3, and beta4 subunits. We examined genetic data across this region for over 38,000 smokers, a subset of which had been assessed for lung cancer or chronic obstructive pulmonary disease. We demonstrate strong evidence that there are at least two statistically independent loci in this region that affect risk for heavy smoking. One of these loci represents a change in the protein structure of the alpha5 subunit. This work is also the first to report strong evidence of association between smoking and a group of genetic variants that are of biological interest because of their links to expression of the alpha5 cholinergic nicotinic receptor subunit gene. These advances in understanding the genetic influences on smoking behavior are important because of the profound public health burdens caused by smoking and nicotine addiction.

Context: The Zinc Finger Protein 804A gene (ZNF804A) has been implicated in schizophrenia susceptibility by several genome-wide association studies. ZNF804A is brain expressed but of unknown function. Objective: To investigate whether the identified risk allele at the disease-associated single nucleotide polymorphism rs1344706 is associated with variation in neuropsychological performance in patients and controls. Design: Comparison of cases and controls grouped according to ZNF804A genotype (AA vs AC vs CC) on selected measures of cognition in 2 independent samples. Setting: Unrelated patients from general adult psychiatric inpatient and outpatient services and unrelated healthy participants from the general population were ascertained. Participants: Patients with DSM-IV–diagnosed schizophrenia and healthy participants from independent samples of Irish (297 cases and 165 controls) and German (251 cases and 1472 controls) nationality. Main Outcome Measures: In this 2-stage study, we tested for an association between ZNF804A rs1344706 and cognitive functions known to be impaired in schizophrenia (IQ, episodic memory, working memory, and attention) in an Irish discovery sample. We then tested significant results in a German replication sample. Results: In the Irish samples, the ZNF804A genotype was associated with differences in episodic and working memory in patients but not in controls. These findings replicated in the same direction in the German samples. Furthermore, in both samples, when patients with a lower IQ were excluded, the association between ZNF804A and schizophrenia strengthened. Conclusions: In a disorder characterized by heterogeneity, a risk variant at ZNF804A seems to delineate a patient subgroup characterized by relatively spared cognitive ability. Further work is required to establish whether this represents a discrete molecular pathogenesis that differs from that of other patient groups and whether this also has consequences for nosologic classification, illness course, or treatment.

For decades treatment of schizophrenia was restricted to drugs, which mainly target positive symptoms by interfering with the dopaminergic neurotransmission. Since a large body of experimental and clinical data implicate that schizophrenia may primarily be a consequence of an imbalance in the glutamatergic system, specifically the networks containing GABAergic interneurons (γ-amino butyric acid), new drugs modulating glutamatergic neurotransmission are being developed. Targeting this dysfunction may follow different strategies, including application of direct or indirect NMDA (N-methyl-D-aspartate) receptor agonists or drugs modulating the function of metabotropic glutamate receptors. Meanwhile, the first substances have proven to be effective in animal models of schizophrenia and now enter the stage of clinical trials. The most promising data have been obtained in studies employing agonists of the metabotropic glutamate receptor. A choice of these substances is presented in this review.

Despite significant research efforts aimed at understanding the neurobiological underpinnings of psychiatric disorders, the diagnosis and the evaluation of treatment of these disorders are still based solely on relatively subjective assessment of symptoms. Therefore, biological markers which could improve the current classification of psychiatry disorders, and in perspective stratify patients on a biological basis into more homogeneous clinically distinct subgroups, are highly needed. In order to identify novel candidate biological markers for major depression and schizophrenia, we have applied a focused proteomic approach using plasma samples from a large case-control collection. Patients were diagnosed according to DSM criteria using structured interviews and a number of additional clinical variables and demographic information were assessed. Plasma samples from 245 depressed patients, 229 schizophrenic patients and 254 controls were submitted to multi analyte profiling allowing the evaluation of up to 79 proteins, including a series of cytokines, chemokines and neurotrophins previously suggested to be involved in the pathophysiology of depression and schizophrenia. Univariate data analysis showed more significant p-values than would be expected by chance and highlighted several proteins belonging to pathways or mechanisms previously suspected to be involved in the pathophysiology of major depression or schizophrenia, such as insulin and MMP-9 for depression, and BDNF, EGF and a number of chemokines for schizophrenia. Multivariate analysis was carried out to improve the differentiation of cases from controls and identify the most informative panel of markers. The results illustrate the potential of plasma biomarker profiling for psychiatric disorders, when conducted in large collections. The study highlighted a set of analytes as candidate biomarker signatures for depression and schizophrenia, warranting further investigation in independent collections.

Suicide is one of the leading causes of death among young adults. Both genetic and personality factors plausibly have a role on suicidal behavior. We focused on the catechol-O-methyltransferase gene (COMT) and we performed: a review of studies investigating the association between COMT and both suicidal behavior and personality; a meta-analysis of studies investigating the association between suicidal behavior and COMT rs4680 polymorphism; an association study investigating the link between seven COMT polymorphisms (rs737865, rs5844402, rs5993883, rs4680, rs4633, rs165599 and rs9332377) and both personality traits and suicidal behavior. For the review and the meta-analysis we performed an electronic search to identify studies focused on the association between COMT and both suicidal behavior and personality. The sample of the association study was composed of three groups: 289 German healthy controls, 111 German suicide attempters and 70 Italian mood disorder patients. From the review, the meta-analysis and the association study no relationship emerged between COMT and suicidal behavior. Nevertheless, from both review and association study several links were found between COMT and personality traits. In particular, in the association study we found a significant correlation between rs4633 and Reward Dependence (Temperament and Character Inventory). As secondary results we found an association between rs737865 and Angry Reaction (State-Trait Anger Expression Inventory) and between rs9332377 and Irritability (Questionnaire for Measuring Factors of Aggression). Our findings suggested that COMT variants may not be directly implicated in suicidal behavior, however evidence of a COMT role in the modulation of personality traits has been found.

Contains fulltext : 89305.pdf (Publisher’s version ) (Closed access) Smoking is a common risk factor for many diseases. We conducted genome-wide association meta-analyses for the number of cigarettes smoked per day (CPD) in smokers (n = 31,266) and smoking initiation (n = 46,481) using samples from the ENGAGE Consortium. In a second stage, we tested selected SNPs with in silico replication in the Tobacco and Genetics (TAG) and Glaxo Smith Kline (Ox-GSK) consortia cohorts (n = 45,691 smokers) and assessed some of those in a third sample of European ancestry (n = 9,040). Variants in three genomic regions associated with CPD (P < 5 x 10(-8)), including previously identified SNPs at 15q25 represented by rs1051730[A] (effect size = 0.80 CPD, P = 2.4 x 10(-69)), and SNPs at 19q13 and 8p11, represented by rs4105144[C] (effect size = 0.39 CPD, P = 2.2 x 10(-12)) and rs6474412-T (effect size = 0.29 CPD, P = 1.4 x 10(-8)), respectively. Among the genes at the two newly associated loci are genes encoding nicotine-metabolizing enzymes (CYP2A6 and CYP2B6) and nicotinic acetylcholine receptor subunits (CHRNB3 and CHRNA6), all of which have been highlighted in previous studies of smoking and nicotine dependence. Nominal associations with lung cancer were observed at both 8p11 (rs6474412[T], odds ratio (OR) = 1.09, P = 0.04) and 19q13 (rs4105144[C], OR = 1.12, P = 0.0006). 01 mei 2010

The definition of the best combination of "when" and "how much" of haloperidol dosing during acute psychotic illness still represents a challenge. Randomized controlled trials can hardly account for the high variability of dose x timing of dose increase strategies that can be applied in everyday practice. We conducted an observational study in order to study and evaluate the naturalistic strategies of haloperidol oral administration in a sample of 101 acutely ill psychotic patients. Out of this sample, 82 patients had complete data on PANSS scores and 50 patients had data on the haloperidol plasma levels. In accordance with previous evidence, we found that improvement during the first two weeks of treatment was a significant predictor of response (t=6.94, p=2.11E-08). On this note, increasing the haloperidol doses over 6.64+/-2.08 mg/day on average from the second to the third week of treatment in those patients who did not respond to treatment during the first two weeks of treatment was of no use for further amelioration. This cutoff was associated with treatment efficacy but not with the incidence of side effects. In conclusion a moderate dose of haloperidol is suggested in the first two weeks, in case of non response a dose increase is of no further benefit. This finding could contribute to tailor more individualized treatment and highlights the need for early detection of non-responders.

The Abelson helper integration site 1 (AHI1) gene locus on chromosome 6q23 is among a group of candidate loci for schizophrenia susceptibility that were initially identified by linkage followed by linkage disequilibrium mapping, and subsequent replication of the association in an independent sample. Here, we present results of a replication study of AHI1 locus markers, previously implicated in schizophrenia, in a large European sample (in total 3907 affected and 7429 controls). Furthermore, we perform a meta-analysis of the implicated markers in 4496 affected and 18,920 controls. Both the replication study of new samples and the meta-analysis show evidence for significant overrepresentation of all tested alleles in patients compared with controls (meta-analysis; P = 8.2 x 10(-5)-1.7 x 10(-3), common OR = 1.09-1.11). The region contains two genes, AHI1 and C6orf217, and both genes-as well as the neighbouring phosphodiesterase 7B (PDE7B)-may be considered candidates for involvement in the genetic aetiology of schizophrenia. Wellcome Trust 076113 EU LSHM-CT-2006-037761 info:eu-repo/grantAgreement/EC/FP7/218251 MRC Wellcome Trust NIH R01 MH078075

Suicidal behavior is a major health problem worldwide. The risk of suicide-related behavior is supposed to be determined by a complex interplay of sociocultural factors, psychiatric history, personality traits, and genetic vulnerability. Family and twin studies point towards a partial heritability of suicidal behavior. First molecular genetic studies concentrated on genes of the serotonergic system based on the biochemical evidence that serotonergic neurotransmission is implicated in this behavior. Furthermore, genes of e.g. the dopaminergic and noradrenergic neurotransmitter systems have also been the subject of investigations in this context. The aim of this article is to review molecular genetic studies in suicidal behavior beyond the serotonergic system and to emphasize findings on new genes.

We have performed a genome-wide association study (GWAS) of schizophrenia in a Norwegian discovery sample of 201 cases and 305 controls (TOP study) with a focused replication analysis in a larger European sample of 2663 cases and 13,780 control subjects (SGENE-plus study). Firstly, the discovery sample was genotyped with Affymetrix Genome-Wide Human SNP Array 6.0 and 572,888 markers were tested for schizophrenia association. No SNPs in the discovery sample attained genome-wide significance (P < 8.7 × 10−8). Secondly, based on the GWAS data, we selected 1000 markers with the lowest P values in the discovery TOP sample, and tested these (or HapMap-based surrogates) for association in the replication sample. Sixteen loci were associated with schizophrenia (nominal P value < 0.05 and concurring OR) in the replication sample. As a next step, we performed a combined analysis of the findings from these two studies, and the strongest evidence for association with schizophrenia was provided for markers rs7045881 on 9p21, rs433598 on 16p12 and rs10761482 on 10q21. The markers are located in PLAA, ACSM1 and ANK3, respectively. PLAA has not previously been described as a susceptibility gene, but 9p21 is implied as a schizophrenia linkage region. ACSM1 has been identified as a susceptibility gene in a previous schizophrenia GWAS study. The association of ANK3 with schizophrenia is intriguing in light of recent associations of ANK3 with bipolar disorder, thereby supporting the hypothesis of an overlap in genetic susceptibility between these psychopathological entities.

Contains fulltext : 80631.pdf (Publisher’s version ) (Closed access) We conducted a genome-wide association study among 2,323 individuals with sporadic amyotrophic lateral sclerosis (ALS) and 9,013 control subjects and evaluated all SNPs with P < 1.0 x 10(-4) in a second, independent cohort of 2,532 affected individuals and 5,940 controls. Analysis of the genome-wide data revealed genome-wide significance for one SNP, rs12608932, with P = 1.30 x 10(-9). This SNP showed robust replication in the second cohort (P = 1.86 x 10(-6)), and a combined analysis over the two stages yielded P = 2.53 x 10(-14). The rs12608932 SNP is located at 19p13.3 and maps to a haplotype block within the boundaries of UNC13A, which regulates the release of neurotransmitters such as glutamate at neuromuscular synapses. Follow-up of additional SNPs showed genome-wide significance for two further SNPs (rs2814707, with P = 7.45 x 10(-9), and rs3849942, with P = 1.01 x 10(-8)) in the combined analysis of both stages. These SNPs are located at chromosome 9p21.2, in a linkage region for familial ALS with frontotemporal dementia found previously in several large pedigrees.

The authors declare the following competing interest, which should have been declared at the time of publication. Pamela L. St. Jean, Pierandrea Muglia, and Clyde Francks are full-time employees of GlaxoSmithKline, a pharmaceutical company that is developing treatments for schizophrenia and that has filed patent applications for SNPs related to schizophrenia (United States Patent Applications 20080176239 and 20080176240, and International Application No.: PCT/EP2008/050477).

Polymorphisms in the CHRNA4 gene coding the nicotinic acetylcholine receptor subunit alpha 4 have recently been suggested to play a role in the determination of smoking-related phenotypes. To examine this hypothesis, we conducted a genetic association study in three large samples from the German general population (N(1)=1412; N(2)=1855; N(3)=2294). Five single-nucleotide polymorphisms in CHRNA4 were genotyped in 5561 participants, including 2707 heavily smoking cases (regularly smoking at least 20 cigarettes per day) and 2399 never-smoking controls (or=100 cigarettes over lifetime). We examined associations of the polymorphisms with smoking case-control status and with the extent of nicotine dependence as measured by the Fagerstrom test of nicotine dependence (FTND) score (N=1030). The most significant association was observed between rs2236196 and FTND (P=0.0023), whereas the closely linked rs1044396 had most statistical support in the case-control models (P=0.0080). The consistent effect estimates across three independent cohorts elaborate on recently published functional studies of rs2236196 from the CHRNA4 3'-untranslated region and seem to converge with accumulating evidence to firmly implicate the variant G allele of this polymorphism in the intensification of nicotine dependence.

Objectives The serotonergic system plays an important pathophysiological role in various psychiatric disorders. Brain-derived neurotrophic factor (BDNF) is involved in the differentiation and survival of serotonergic neurons. A previous study showed that low serum BDNF levels were associated with strong loudness dependence of auditory evoked potentials (LDAEP) as a reflection of low central serotonergic activity. To evaluate the genetic basis of this relationship, we studied whether the LDAEP is correlated with genetic variants within the BDNF gene. Methods Ninety five healthy subjects (41 males, 54 females) received electrophysiological recording of LDAEP and blood drawing for BDNF genotyping. Three BDNF markers (including the single nucleotide polymorphism rs6265(Val66Met)) were analyzed. Results Haplotype analysis revealed stronger LDAEP values in carriers of the G(Val)-C-T [rs6265(Val66Met)-rs2030324-rs1491850] haplotype within the BDNF gene in comparison to other haplotype carriers. These findings were demonstrated for the LDAEP of both left and right primary auditory cortices as well as for the vertex electrode (Cz). Conclusion Subjects with the BDNF haplotype G(Val)-C-T seem to be characterized by low serotonergic activity as well as possibly by low serum BDNF levels. These findings need replication in independent samples.

Personality influences several characteristics of normal and pathologic behaviors and it is associated with neurotransmitter systems that are under genetic control. The dopaminergic system has been proposed to play a role in the modulation of personality traits. In the present study, variants of the tyrosine hydroxylase (TH) and DOPA decarboxylase (DDC) genes (for TH: rs3842727, rs6356; for DDC: rs1451371, rs1470750, rs998850) were investigated in 111 suicide attempters and 289 healthy subjects to assess the involvement of the dopaminergic synthesis pathway in personality traits. No strong evidence was found for the associations between personality and TH or DDC in overall tests. An interaction effect of genotype and diagnosis was present, with TH and DDC SNPs having a greater effect on the respective personality dimensions in the group of suicide attempters. Because of the risk of false positives, these findings should be interpreted with highest caution. Direct replication attempts within independent groups of suicide attempters will help to resolve this question. Copyright (C) 2009 S. Karger AG, Basel

Suicide is one of the leading causes of death worldwide, mortality from suicide being approximately 2%. Attempted suicide appears to be a major risk factor for suicide completion. Anger, aggression and impulsivity are personality traits associated with suicide attempt. In this study we analysed a part of a previously reported sample in order to test anger, impulsivity and temperament/character scales as predictors of aggression and self-aggression in suicide attempters and to compare anger- and aggression-related traits between impulsive and premeditated suicide attempts as well as between violent and non-violent suicide methods. One-hundred-eleven consecutively admitted inpatients with a lifetime history of attempted suicide were assessed for anger (State-Trait Anger Expression Inventory, STAXI), aggression (Questionnaire for Measuring Factors of Aggression, FAF) and temperament/character (Temperament and Character Inventory, TCI). Higher aggression scores, as measured by FAF, were predicted by being male, meeting criteria for borderline personality disorder and having higher angry temperament scores as assessed by STAXI; low cooperativeness was also associated with aggression but not after controlling for STAXI scales. TCI dimensions associated with self-aggression were high harm avoidance, high impulsivity and low self-directedness; state anger, inwardly directed anger and inhibition of aggression were also predictors of self-aggression. In conclusion, impulsivity and harm avoidance have emerged as temperament dimensions independently associated with self-aggressive tendencies in personality. Such interactions could explain the correlation between temperament and suicidality but further research is needed. Anger and self-directedness appear to have some effects on suicide attempt. (C) 2009 Elsevier Ltd. All rights reserved

Introduction: Serotonin has been extensively studied in relation to both personality features and suicidal behaviours. Objective: In this study, we considered the association between the serotonin receptor 1A (HTR1A) and 2C (HTR2C) SNPs and personality traits, as measured by the Temperament and Character Inventory (TCI), in a sample of suicide patients and healthy volunteers. Methods: The SNPs considered were, for HTR1A rs1423691, rs878567 and rs6295, and for HTR2C rs547536, rs2192372, rs6318, rs2428707, rs4272555 and rs1801412. The sample was composed of three groups: two German samples, consisting of a healthy control group of 289 subjects (42.6% males, mean age: 45.2 +/- 14.9) and a psychiatric patient group of 111 suicide attempters (38.7% males, mean age: 39.2 +/- 13.6), and an Italian sample, composed of 64 mood disorder patients (35.9% males, mean age: 43.0 +/- 14.8). In the German samples all the SNPs were investigated. while in the Italian sample only the HTR1A rs6295 and the HTR2C rs6318 SNPs were considered. Results: Controlling for sex, age and educational level, single markers and haplotypes were not or only marginally associated with personality dimensions. Conclusions: Our study does not support the role of HTR1A and HTR2C gene variants on personality traits in both healthy volunteers and mood disorder patients. (C) 2008 Elsevier Ltd. All rights reserved.