Genetic susceptibility for schizophrenia after adjustment by genetic susceptibility for smoking: implications in identification of risk genes and genetic correlation with related traits.

BACKGROUND: Prevalence of smoking in schizophrenia (SCZ) is larger than in general population. Genetic studies provided some evidence of a causal effect of smoking on SCZ. We aim to characterize the genetic susceptibility to SCZ affected by genetic susceptibility to smoking. METHODS: Multi-trait-based conditional and joint analysis was applied to the largest European SCZ genome-wide association studies (GWAS) to remove genetic effects on SCZ driven by smoking, estimated by generalized summary data-based Mendelian randomization. Enrichment analysis was performed to compare original v. conditional GWAS. Change in genetic correlation between SCZ and relevant traits after conditioning was assessed. Colocalization analysis was performed to identify specific loci confirming general findings. RESULTS: Conditional analysis identified 19 new risk loci for SCZ and 42 lost loci whose association with SCZ may be partially driven by smoking. These results were strengthened by colocalization analysis. Enrichment analysis indicated a higher association of differentially expressed genes at prenatal brain stages after conditioning. Genetic correlation of SCZ with substance use and dependence, attention deficit-hyperactivity disorder, and several externalizing traits significantly changed after conditioning. Colocalization of association signal between SCZ and these traits was identified for some of the lost loci, such as CHRNA2, CUL3, and PCDH7. CONCLUSIONS: Our approach led to identification of potential new SCZ loci, loci partially associated to SCZ through smoking, and a shared genetic susceptibility between SCZ and smoking behavior related to externalizing phenotypes. Application of this approach to other psychiatric disorders and substances may lead to a better understanding of the role of substances on mental health.

A polygenic approach to the association between smoking and schizophrenia.

Smoking prevalence in schizophrenia is considerably larger than in general population, playing an important role in early mortality. We compared the polygenic contribution to smoking in schizophrenic patients and controls to assess if genetic factors may explain the different prevalence. Polygenic risk scores (PRSs) for smoking initiation and four genetically correlated traits were calculated in 1108 schizophrenic patients (64.4% smokers) and 1584 controls (31.1% smokers). PRSs for smoking initiation, educational attainment, body mass index and age at first birth were associated with smoking in patients and controls, explaining a similar percentage of variance in both groups. Attention-deficit hyperactivity disorder (ADHD) PRS was associated with smoking only in schizophrenia. This association remained significant after adjustment by psychiatric cross-disorder PRS. A PRS combining all the traits was more explanative than smoking initiation PRS alone, indicating that genetic susceptibility to the other traits plays an additional role in smoking behaviour. Smoking initiation PRS was also associated with schizophrenia in the whole sample, but the significance was lost after adjustment for smoking status. This same pattern was observed in the analysis of specific SNPs at the CHRNA5-CHRNA3-CHRNB4 cluster associated with both traits. Overall, the results indicate that the same genetic factors are involved in smoking susceptibility in schizophrenia and in general population and are compatible with smoking acting, directly or indirectly, as a risk factor for schizophrenia that contributes to the high prevalence of smoking in these patients. The contrasting results for ADHD PRS may be related to higher ADHD symptomatology in schizophrenic patients.

Colocalization of association signals at nicotinic acetylcholine receptor genes between schizophrenia and smoking traits.

BACKGROUND: Epidemiological data suggest that smoking may be a risk factor for schizophrenia (SCZ), but more evidence is needed. Two regions coding nicotinic acetylcholine receptor (nAchR) subunits, atCHRNA2 and the CHRNA5/A3/B4 cluster, were associated with SCZ in genome-wide association studies (GWAS). Additionally, a signal at CHRNA4 is near significance. CHRNA2 was also associated with cannabis use disorder (CUD). These regions were also associated with smoking behaviors. If tobacco is a risk factor, the GWAS signals at smoking behaviors and SCZ have to be due to the same causal variants, i.e. they have to colocalize, although colocalization does not necessarily imply causality. Here, we present colocalization analysis at these loci between SCZ and smoking behaviors. METHODS: The Bayesian approach implemented in coloc was used to check for posterior probability of colocalization versus independent signals at the three loci with some evidence of association with SCZ and smoking behaviors, using GWAS summary statistics. Colocalization was also assessed for positive control traits and CUD. Three different sensibility analyses were used to confirm the results. A visualization tool, LocusCompare, was used to facilitate interpretation of the coloc results. RESULTS: Evidence for colocalization of GWAS signals between SCZ and smoking behaviors was found for CHRNA2. Evidence for independent causal variants was found for the other two loci. CUD GWAS signal at CHRNA2 colocalizes with SCZ and smoking behaviors. CONCLUSIONS: Overall, the results indicate that the association between some nAchR subunit genes and SCZ cannot be solely explained by their effect on smoking behaviors.

Substance use during pregnancy and personality dimensions. / Consumo de substancias durante el embarazo y dimensiones de personalidad.

Our aim was to assess personality traits associated with substance use during pregnancy in a population-based, multicentre study of 1804 pregnant women. On day 2-3 postpartum, participants completed a semi-structured interview, including self-reported drug use (alcohol, tobacco, caffeine, cannabis, cocaine, opioids) during pregnancy, and socio-demographic, reproductive and obstetric variables, personal and family psychiatric history, social support, and the Eysenck personality questionnaire, short version (EPQ-RS). Logistic regression models were conducted. Fifty per cent of women reported substance use during pregnancy: 40% caffeine, 21% tobacco, 3.5% alcohol, and 0.3 % cannabis. Mean T-scores (SD) for personality dimensions were 51.1 (9.6) for extraversion, 48 (8.9) for psychoticism, and 43.6 (8.5) for neuroticism. Extroversion (p = .029) and psychoticism (p = .009) were identified as risk factors after adjustment by age, level of education, employment status during pregnancy, low social support, and previous psychiatric history. For each increment of 10 units in their scores, the odds of substance use increased by 12% and 16% respectively. Low education, being on leave during pregnancy, and previous psychiatric history were independent factors (p < .05) associated with substance use during pregnancy. Primiparity was a protective factor (p = .001). The final models showed a good fit (p = .26). The screening of substance use during pregnancy should include personality dimensions apart from psychosocial variables and history of psychiatric disorders. It is important to identify the associated risk factors for substance use during pregnancy to prevent and improve foetal/neonatal and maternal health during perinatal period.

Este estudio evalúa los patrones de consumo de substancias durante el embarazo y las dimensiones de personalidad asociadas, en una muestra multicéntrica de 1804 mujeres de población general. En el 2-3 día posparto, completaron una entrevista auto-administrada sobre el consumo de alcohol, tabaco, cafeína, cannabis, cocaína, opiáceos, drogas de diseño, además de variables socio-demográficas, obstétricas/reproductivas, historia psiquiátrica previa, apoyo social durante el embarazo y el cuestionario de personalidad de Eysenck (EPQ-RS). Se generaron modelos de regresión logística múltiple. La prevalencia del consumo fue del 50% (N=909): 40% cafeína, 21% tabaco, 3,5% alcohol, y 0,3 cannabis. Las puntuaciones T medias (DE) de personalidad fueron: extraversión 51,1 (9,6), psicoticismo 48 (8,9) y neuroticismo 43,6 (8,5). Las dimensiones de extraversión (p=0,029) y psicoticismo (p=0,009), fueron identificadas como factores de riesgo tras ajustar por edad, nivel educación, estatus laboral durante el embarazo, bajo apoyo social, e historia psiquiátrica previa. Para cada incremento de 10 unidades en sus puntuaciones, el odds de consumo de substancias durante el embarazo se incrementó un 12% y un 16% respectivamente. Menor educación, estar de baja, y antecedentes psiquiátricos fueron también factores independientes (p<0,05) asociados al consumo. Ser primípara fue factor protector (p=0,001). El modelo final mostró un ajuste satisfactorio (p=0,26). El cribaje de las mujeres con riesgo de consumo de substancias durante el embarazo debería incluir la personalidad además de variables psicosociales y antecedentes psiquiátricos. Identificar los factores de riesgo asociados es importante para prevenir y mejorar la salud materna y fetal/neonatal durante el embarazo y posparto.

Relationships between substance abuse/dependence and psychiatric disorders based on polygenic scores.

Genetic susceptibility to substance use disorders (SUDs) is partially shared between substances. Heritability of any substance dependence, estimated as 54%, is partly explained by additive effects of common variants. Comorbidity between SUDs and other psychiatric disorders is frequent. The present study aims to analyze the additive role of common variants in this comorbidity using polygenic scores (PGSs) based on genome-wide association study discovery samples of schizophrenia (SCZ), bipolar disorder, attention-deficit/hyperactivity disorder, autism spectrum disorder, major depressive disorder and anxiety disorders, available from large consortia. PGSs were calculated for 534 patients meeting DSM-IV criteria for dependence of a substance and abuse/dependence of another substance between alcohol, tobacco, cannabis, cocaine, opiates, hypnotics, stimulants, hallucinogens and solvents; and 587 blood donors from the same population, Iberians from Galicia, as controls. Significance of the PGS and percentage of variance explained were calculated by logistic regression. Using discovery samples of similar size, significant associations with SUDs were detected for SCZ PGS. SCZ PGS explained more variance in SUDs than in most psychiatric disorders. Cross-disorder PGS based on five psychiatric disorders was significant after adjustment for the effect of SCZ PGS. SCZ PGS was significantly higher in women than in men abusing alcohol. Our findings indicate that SUDs share genetic susceptibility with SCZ to a greater extent than with other psychiatric disorders, including externalizing disorders such as attention-deficit/hyperactivity disorder. Women have lower probability to develop substance abuse/dependence than men at similar PGS probably because of a higher social pressure against excessive drug use in women.

Coping strategies for postpartum depression: a multi-centric study of 1626 women.

The transition to motherhood is stressful as it requires several important changes in family dynamics, finances, and working life, along with physical and psychological adjustments. This study aimed at determining whether some forms of coping might predict postpartum depressive symptomatology. A total of 1626 pregnant women participated in a multi-centric longitudinal study. Different evaluations were performed 8 and 32 weeks after delivery. Depression was assessed using the Edinburgh Postnatal Depression Scale (EPDS) and the structured Diagnostic Interview for Genetic Studies (DIGS). The brief Coping Orientation for Problem Experiences (COPE) scale was used to measure coping strategies 2-3 days postpartum. Some coping strategies differentiate between women with and without postpartum depression. A logistic regression analysis was used to explore the relationships between the predictors of coping strategies and major depression (according to DSM-IV criteria). In this model, the predictor variables during the first 32 weeks were self-distraction (OR 1.18, 95 % CI 1.04-1.33), substance use (OR 0.58, 95 % CI 0.35-0.97), and self-blame (OR 1.18, 95 % CI 1.04-1.34). In healthy women with no psychiatric history, some passive coping strategies, both cognitive and behavioral, are predictors of depressive symptoms and postpartum depression and help differentiate between patients with and without depression.

Effects of dietary cadmium exposure on osmoregulation and urine concentration mechanisms of the semi-desert rodent Meriones shawi.

Contamination by cadmium in the environment is of great concern because of its toxicity and threats to human and animal health. The current study was conducted to investigate the effects of a cadmium contaminated diet on the osmoregulation and urine concentration mechanisms of the semi-desert rodent Meriones shawi and eventual accumulation of this metal in vital organs such as the kidneys, which are directly implicated in water regulation. Originally, we used Differential Pulse Anodic Stripping Voltammetry (DPASV) to avoid the matrix interference due to the highly organic content in the biological samples. Our results show that Meriones shawi successfully maintained a homeostasis state and presented a special adaptation to regulate urine volume during cadmium exposure by decreasing diuresis and increasing urinary osmolality. The plasma osmolality and hematocrit remained constant throughout the experiment. The stripping signals of cadmium are linear up to 0.3-100 µg L(-1) range, with a detection limit of 0.28 µg L(-1). The DPASV technique was useful for easy, fast, selective and sensitive determination of Cd, which permits working at cellular concentration. This gives us more information about the chemical form in which Cd is introduced into the organ, as well as the intracellular Cd quantities. This study has potential importance if this valuable novel animal model, imitating human and animal environmental chronic exposure to Cd, could serve as an appropriate terrestrial biomonitor for Cd contaminated sites. These results are encouraging in the context of developing a low-cost and fast technology for the detection of pollutants and for studying the impairment caused by their effects.

Interaction between COMT haplotypes and cannabis in schizophrenia: a case-only study in two samples from Spain.

Cannabis use is one of the environmental factors with more solid evidence contributing to schizophrenia risk, especially in genetically susceptible individuals. One of the genes that may interact with cannabis is COMT, although available data are scarce. Here, we present a case-only study of the putative COMT-cannabis interaction in schizophrenia. Two Spanish samples from Santiago de Compostela and Valencia were screened for cannabis use. One hundred and fifty five individuals from a total of 748 patients were identified as cannabis users. Five SNPs in COMT, defining three common functional haplotypes with different enzymatic activities, were genotyped and analyzed for association at the SNP, haplotype and genotype levels. An association was detected between cannabis use and low activity variants (P<0.01) in the joint analysis and results were consistent between the two samples. Schizophrenic subjects homozygous for the Met allele at rs4680 doubled the probability of lifetime prevalence of cannabis use in comparison to Val homozygous (Mantel-Haenszel OR=2.07, 95% CI: 1.27-3.26, P=0.0031, in the combined sample). These data are in contrast to those from Caspi et al. (Biol. Psychiatry 57 (2005)1117-1127) who found association between schizophrenia/schizophreniform disorder and homozygosity at the high activity Val variant of rs4680. The results of our study are discussed in the context of previous findings, suggesting the involvement of COMT polymorphisms in the association between cannabis use and schizophrenia as well as the existence of additional factors mediating this association. However, further research is needed to confirm the COMT-cannabis interaction.

Testing the antagonistic pleiotropy model of schizophrenia susceptibility by analysis of DAOA, PPP1R1B, and APOL1 genes.

Schizophrenia is a common disease associated with reduced fertility. Therefore, the existence of common susceptibility alleles not removed by natural selection may be considered an evolutionary paradox. The antagonistic pleiotropy model, proposed to explain this paradox, states that an allele may be common because of its overall selective advantage, in spite of deleterious effects on specific traits. Recent work on DAOA, PPP1R1B, and APOL1 suggests that these genes present common alleles associated to increase risk of schizophrenia but conferring an overall selective advantage, related to better cognitive performance (DAOA and PPP1R1B) or protection against pathogens (APOL1). To test if these genes fit the antagonistic pleiotropy model, we searched for recent natural selection at these loci applying the long-range haplotype test on data from the HapMap Project; and performed case-control association analysis in a well-powered sample, including 301 schizophrenic patients and 604 controls from Spain. For DAOA and PPP1R1B, we genotyped the Single-nucleotide polymorphisms (SNPs) needed to replicate previous associations, while for APOL1, we genotyped 15 tagSNPs, and seven putative functional SNPs. We did not detect evidence of recent natural selection. Furthermore, we did not find significant associations. Thus, these genes do not fit the antagonistic pleiotropy model.

Analyses of variants located in estrogen metabolism genes (ESR1, ESR2, COMT and APOE) and schizophrenia.

Relationships between gender, age-of-onset of schizophrenia and reproductive age strongly suggest a key role for gonadal hormones, and more specifically for estrogens, in the etiology of the illness. Also, estrogens act as neural growth and trophic factors influencing neuron and glial cells in many areas of the central nervous system. Therefore, we investigated the association between schizophrenia and 4 genes related to estrogen metabolism. These genes are ESR1 (estrogen receptor 1), ESR2 (estrogen receptor 2), APOE (apolipoprotein E) and COMT (catechol-O-methyltransferase). The expression of APOE and COMT, which contain estrogen response elements, have been demonstrated to be regulated by the estrogen receptors. In this current association study, we examined 59 single nucleotide polymorphisms (SNPs) located in the ESR1 (26), ESR2 (14), APOE (7) and COMT (12) loci. Allele frequencies were evaluated in the schizophrenia (n=585)-control (n=615) sample and no association was found with any of the four genes. In conclusion, our data suggest that the four analyzed genes do not play an important role in susceptibility to schizophrenia.