| 1 | J. Psychopharmacol. (Oxford) 2010 May 24: 677-82 |
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| PMID | 18838498 |
| Title | Association of HPA axis genes with suicidal behaviour in schizophrenia. |
| Abstract | Family, adoption and twin studies show that genetics influences suicidal behaviour, but do not indicate specific susceptibility variants. Stress response is thought to be mediated by the corticotrophin-releasing hormone (CRH), which is known to be a regulator of the hypothalamic-pituitary-adrenal pathway (HPA). Alterations in HPA system have been related to impulsivity, aggression and suicidal behaviour, common feature in schizophrenia. CRH is the hypothalamic factor that stimulates the pituitary gland. To search for markers conferring genetic susceptibility to suicide, we typed six HPA axis genes (CRH, CRHR1, CRHR2, CRHBP, MC2R, NC3R1) in a cohort of 231 subjects with schizophrenia in which 81 attempted suicide. The genotype analyses yielded significant association between CRH binding protein (CRHBP) and suicide attempt (P = 0.035). The genotype analysis for quantitative measures of suicidal behaviour showed no association. The interaction analysis showed a significant interaction between CRH receptor type 1 (CRHR1) and CRH binding protein (CRHBP) in influencing suicide attempt and the severity of suicidal behaviour. Current results show that genetic variation in HPA axis genes could be associated with suicidal behaviour in schizophrenia. This is to our knowledge the first study on suicidal behaviour investigating the interaction among the HPA axis genes. |
| SCZ Keywords | schizophrenia, schizophrenic |
| 2 | J. Alzheimers Dis. 2010 -1 21: 897-902 |
| PMID | 20634582 |
| Title | Frontotemporal dementia phenotype associated with MAPT gene duplication. |
| Abstract | Microduplications at 17q21.31 have recently been reported in children with mental retardation, autism spectrum disorders and/or dysmorphic features, as well as in a single schizophrenic patient. This rearrangement encompasses the microtubule associated protein tau (MAPT) gene, mutations of which are a major cause of frontotemporal lobar degeneration (FTLD). However, no 17q21.31 microduplication has been so far identified in this condition. We screened chromosomal rearrangements in FTLD patients using quantitative multiplex PCR of short fluorescent fragments and high resolution array CGH. We found a 439-kb microduplication at the 17q21.31 locus encompassing the MAPT, IMP5, CRHR1, and STH genes in the index case of a family in which three patients have developed a FTLD phenotype associated with marked memory impairment. None of these patients had mental retardation or dysmorphic features. Since no pathological examination was available, we are not certain that this case corresponds to a FTLD with neuronal and glial tau inclusions (FTLD-tau), and we cannot exclude that any other gene included in the rearrangement might be responsible for the neurodegenerative process. However, the clinical phenotype of the three patients is functionally consistent with the regional pattern of lesions previously reported in mice overexpressing human tau. |
| SCZ Keywords | schizophrenia, schizophrenic |
| 3 | Arch. Gen. Psychiatry 2011 Dec 68: 1247-56 |
| PMID | 21810631 |
| Title | Prediction of the risk of comorbid alcoholism in schizophrenia by interaction of common genetic variants in the corticotropin-releasing factor system. |
| Abstract | Stress plays a major role in the development of comorbid alcohol use disorder (AUD). In turn, AUD worsens the outcome of psychiatric patients with respect to global disease severity, social situation, and socioeconomic burden. Prediction of persons at risk for AUD is crucial for future preventive and therapeutic strategies. To investigate whether genetic variants of the corticotropin-releasing factor system or their interaction influence the risk of developing AUD in chronic disease populations. Genotype analysis comprising selected single-nucleotide polymorphisms within the CRHR1 and CRHBP genes in patients with schizophrenia and in a nonschizophrenic psychiatric disease control sample should allow the extraction of predictors of comorbid AUD. Gene expression (messenger RNA) analysis in peripheral blood mononuclear cells was performed to gain the first mechanistic insight. An ideal setup for this study was the Göttingen Research Association for schizophrenia Data Collection of schizophrenic patients, specifically intended to enable association of genetic information with quantifiable phenotypes in a phenotype-based genetic association study. Patients A total of 1037 schizophrenic patients (Göttingen Research Association for schizophrenia sample), 80 nonschizophrenic psychiatric disease controls as a small replicate sample, and a case-control study including 1141 healthy subjects. Association of CRHR1 and CRHBP genotypes with the following: (1) AUD; (2) a newly developed alcoholism severity score comprising 5 AUD-relevant variables; and (3) quantitative CRHR1 and CRHBP messenger RNA expression. An interaction of CRHR1 rs110402 and CRHBP rs3811939 predicts high risk of comorbid AUD in schizophrenic patients (odds ratio = 2.27; 95% confidence interval, 1.56-3.30; P < .001) as well as psychiatric disease controls (odds ratio = 4.02; 95% confidence interval, 0.95-17.05; P = .06) and leads to the highest CRHR1/CRHBP messenger RNA ratio (P = .02; dysbalanced stress axis). The high predictive value of a genetic interaction within the stress axis for the risk of comorbid AUD may be used for novel preventive and individualized therapeutic approaches. |
| SCZ Keywords | schizophrenia, schizophrenic |
| 4 | Arch. Gen. Psychiatry 2011 Dec 68: 1247-56 |
| PMID | 21810631 |
| Title | Prediction of the risk of comorbid alcoholism in schizophrenia by interaction of common genetic variants in the corticotropin-releasing factor system. |
| Abstract | Stress plays a major role in the development of comorbid alcohol use disorder (AUD). In turn, AUD worsens the outcome of psychiatric patients with respect to global disease severity, social situation, and socioeconomic burden. Prediction of persons at risk for AUD is crucial for future preventive and therapeutic strategies. To investigate whether genetic variants of the corticotropin-releasing factor system or their interaction influence the risk of developing AUD in chronic disease populations. Genotype analysis comprising selected single-nucleotide polymorphisms within the CRHR1 and CRHBP genes in patients with schizophrenia and in a nonschizophrenic psychiatric disease control sample should allow the extraction of predictors of comorbid AUD. Gene expression (messenger RNA) analysis in peripheral blood mononuclear cells was performed to gain the first mechanistic insight. An ideal setup for this study was the Göttingen Research Association for schizophrenia Data Collection of schizophrenic patients, specifically intended to enable association of genetic information with quantifiable phenotypes in a phenotype-based genetic association study. Patients A total of 1037 schizophrenic patients (Göttingen Research Association for schizophrenia sample), 80 nonschizophrenic psychiatric disease controls as a small replicate sample, and a case-control study including 1141 healthy subjects. Association of CRHR1 and CRHBP genotypes with the following: (1) AUD; (2) a newly developed alcoholism severity score comprising 5 AUD-relevant variables; and (3) quantitative CRHR1 and CRHBP messenger RNA expression. An interaction of CRHR1 rs110402 and CRHBP rs3811939 predicts high risk of comorbid AUD in schizophrenic patients (odds ratio = 2.27; 95% confidence interval, 1.56-3.30; P < .001) as well as psychiatric disease controls (odds ratio = 4.02; 95% confidence interval, 0.95-17.05; P = .06) and leads to the highest CRHR1/CRHBP messenger RNA ratio (P = .02; dysbalanced stress axis). The high predictive value of a genetic interaction within the stress axis for the risk of comorbid AUD may be used for novel preventive and individualized therapeutic approaches. |
| SCZ Keywords | schizophrenia, schizophrenic |
| 5 | Seishin Shinkeigaku Zasshi 2012 -1 114: 1063-9 |
| PMID | 23198596 |
| Title | [The pathophysiology and diagnosis of anxiety disorder]. |
| Abstract | In addition to genetic factors, the role of epigenetic and other environmental factors in the promotion of anxiety disorder has attracted much attention in psychiatric research. When stress is encountered in the environment, the hypothalamus-pituitary adrenal system (HPA system) is activated and cortisol is secreted. CRHR gene function is closely related to this response. As a result of haplotype analysis of CRHR genes in depression and panic disorder patients, it was found that genetic polymorphism of CRHR1 and CRHR2 was related to both disorders. It is reported that abused children are more susceptible to developing depression and anxiety disorder upon reaching adulthood, but there also exist genetic polymorphisms that may moderate this relationship. Direct methylation of DNA (typically repressing gene expression) and modification of chromatin structure (complexes of histone proteins and DNA) via acetylation (typically facilitating gene expression) represent epigenetic modifications that are thought to influence behavioral phenotypes. For example, it is rare that schizophrenia develops in identical twins brought up together in the same environment, and thus phenotypic differences cannot be explained simply by genetic polymorphism. We also evaluated salivary cortisol and amylase reactivity (indices of the HPA system and sympathoadrenal medullary system, respectfully) after electrical stimulation stress and Trier Social Stress Test (TSST) administration. Here we found differences in the cortisol stress response between electrical stimulation and TSST stressors, in contrast to the theory of Selye. In addition, we found alterations in activity patterns and difficulties integrating sensorimotor information in panic disorder patients, suggesting links between sensorimotor integration and stress in panic disorder. Moreover, state and trait anxiety may be associated with stabilograph factors. |
| SCZ Keywords | schizophrenia, schizophrenic |
| 6 | Ann. Hum. Genet. 2016 Jan 80: 38-49 |
| PMID | 26474449 |
| Title | Practical Experience of the Application of a Weighted Burden Test to Whole Exome Sequence Data for Obesity and Schizophrenia. |
| Abstract | For biological and statistical reasons it makes sense to combine information from variants at the level of the gene. One may wish to give more weight to variants which are rare and those that are more likely to affect function. A combined weighting scheme, implemented in the SCOREASSOC program, was applied to whole exome sequence data for 1392 subjects with schizophrenia and 982 with obesity from the UK10K project. Results conformed fairly well with null hypothesis expectations and no individual gene was strongly implicated. However, a number of the higher ranked genes appear plausible candidates as being involved in one or other phenotype and may warrant further investigation. These include MC4R, NLGN2, CRP, DONSON, GTF3A, IL36B, ADCYAP1R1, ARSA, DLG1, SIK2, SLAIN1, UBE2Q2, ZNF507, CRHR1, MUSK, NSF, SNORD115, GDF3 and HIBADH. Some individual variants in these genes have different frequencies between cohorts and could be genotyped in additional subjects. For other genes, there is a general excess of variants at many different sites so attempts at replication would be more difficult. Overall, the weighted burden test provides a convenient method for using sequence data to highlight genes of interest. |
| SCZ Keywords | schizophrenia, schizophrenic |
| 7 | Mol. Psychiatry 2016 Jun 21: 749-57 |
| PMID | 27067015 |
| Title | Genome-wide analysis of over 106?000 individuals identifies 9 neuroticism-associated loci. |
| Abstract | Neuroticism is a personality trait of fundamental importance for psychological well-being and public health. It is strongly associated with major depressive disorder (MDD) and several other psychiatric conditions. Although neuroticism is heritable, attempts to identify the alleles involved in previous studies have been limited by relatively small sample sizes. Here we report a combined meta-analysis of genome-wide association study (GWAS) of neuroticism that includes 91?370 participants from the UK Biobank cohort, 6659 participants from the Generation Scotland: Scottish Family Health Study (GS:SFHS) and 8687 participants from a QIMR (Queensland Institute of Medical Research) Berghofer Medical Research Institute (QIMR) cohort. All participants were assessed using the same neuroticism instrument, the Eysenck Personality Questionnaire-Revised (EPQ-R-S) Short Form's Neuroticism scale. We found a single-nucleotide polymorphism-based heritability estimate for neuroticism of ?15% (s.e.=0.7%). Meta-analysis identified nine novel loci associated with neuroticism. The strongest evidence for association was at a locus on chromosome 8 (P=1.5 × 10(-15)) spanning 4?Mb and containing at least 36 genes. Other associated loci included interesting candidate genes on chromosome 1 (GRIK3 (glutamate receptor ionotropic kainate 3)), chromosome 4 (KLHL2 (Kelch-like protein 2)), chromosome 17 (CRHR1 (corticotropin-releasing hormone receptor 1) and MAPT (microtubule-associated protein Tau)) and on chromosome 18 (CELF4 (CUGBP elav-like family member 4)). We found no evidence for genetic differences in the common allelic architecture of neuroticism by sex. By comparing our findings with those of the Psychiatric Genetics Consortia, we identified a strong genetic correlation between neuroticism and MDD and a less strong but significant genetic correlation with schizophrenia, although not with bipolar disorder. Polygenic risk scores derived from the primary UK Biobank sample captured ?1% of the variance in neuroticism in the GS:SFHS and QIMR samples, although most of the genome-wide significant alleles identified within a UK Biobank-only GWAS of neuroticism were not independently replicated within these cohorts. The identification of nine novel neuroticism-associated loci will drive forward future work on the neurobiology of neuroticism and related phenotypes. |
| SCZ Keywords | schizophrenia, schizophrenic |