Vanessa F. Gonçalves

Origin and dynamics of admixture in Brazilians and its effect on the pattern of deleterious mutations

Significance The EPIGEN Brazil Project is the largest Latin-American initiative to study the genomic diversity of admixed populations and its effect on phenotypes. We studied 6,487 Brazilians from three population-based cohorts with different geographic and demographic backgrounds. We identified ancestry components of these populations at a previously unmatched geographic resolution. We broadened our understanding of the African diaspora, the principal destination of which was Brazil, by revealing an African ancestry component that likely derives from the slave trade from Bantu/eastern African populations. In the context of the current debate about how the pattern of deleterious mutations varies between Africans and Europeans, we use whole-genome data to show that continental admixture is the main and complex determinant of the amount of deleterious genotypes in admixed individuals. While South Americans are underrepresented in human genomic diversity studies, Brazil has been a classical model for population genetics studies on admixture. We present the results of the EPIGEN Brazil Initiative, the most comprehensive up-to-date genomic analysis of any Latin-American population. A population-based genome-wide analysis of 6,487 individuals was performed in the context of worldwide genomic diversity to elucidate how ancestry, kinship, and inbreeding interact in three populations with different histories from the Northeast (African ancestry: 50%), Southeast, and South (both with European ancestry >70%) of Brazil. We showed that ancestry-positive assortative mating permeated Brazilian history. We traced European ancestry in the Southeast/South to a wider European/Middle Eastern region with respect to the Northeast, where ancestry seems restricted to Iberia. By developing an approximate Bayesian computation framework, we infer more recent European immigration to the Southeast/South than to the Northeast. Also, the observed low Native-American ancestry (6–8%) was mostly introduced in different regions of Brazil soon after the European Conquest. We broadened our understanding of the African diaspora, the major destination of which was Brazil, by revealing that Brazilians display two within-Africa ancestry components: one associated with non-Bantu/western Africans (more evident in the Northeast and African Americans) and one associated with Bantu/eastern Africans (more present in the Southeast/South). Furthermore, the whole-genome analysis of 30 individuals (42-fold deep coverage) shows that continental admixture rather than local post-Columbian history is the main and complex determinant of the individual amount of deleterious genotypes.

A Hypothesis-Driven Association Study of 28 Nuclear-Encoded Mitochondrial Genes with Antipsychotic-Induced Weight Gain in Schizophrenia

Mitochondria are the main source of energy for neurons and have a role in many vital neuronal functions. Mitochondrial dysfunction has been described in schizophrenia, and antipsychotics such as clozapine and olanzapine have been associated with differences in gene expression in mitochondria. We investigated the hypothesis that nuclear-encoded mitochondrial genes, particularly those involved in oxidative phosphorylation or involved in oxidative stress, mitochondrial biogenesis, inflammation, and apoptosis, would be associated with antipsychotic-induced weight gain (AIWG). In total, we selected 28 genes and analyzed 60 SNPs (50 are functional), in 283 schizophrenia subjects, treated with atypical medications for up to 14 weeks. Association between AIWG (as measured by the % of weight gain from baseline) and SNP genotypes were tested using linear regression with treatment duration, baseline body weight, and medication type as covariates. We observed a significant association between rs6435326 in the NDUFS1 gene and AIWG in the subset of European patients (N=150, Pcorrected=0.02). The haplotype carrying the risk alleles of rs6435326 and two other SNPs (rs1053517 and rs1801318) in NDUFS1 was also nominally associated with percentage of weight gain (T-C-G vs A-T-A, P=0.005). In addition, stepwise linear regression was performed to select important variables predictive of the outcome, and a gene–gene interaction analysis was carried out. We observed a significant interaction between the TT risk genotype of rs6435326 in NDUFS1 and AG genotype of rs3762883 in COX18 (Pcorrected=0.001). A permutation-based test of all 60 SNPs jointly showed significant association with weight gain (P=0.02). Finally, our replication study of rs6435326, rs1053517 and rs1801318 in NDUFS1 using samples from the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) showed that rs1801318 was significantly associated with AIWG (N=200, Pcorrected=0.04), and the three SNPs were collectively associated with AIWG (P=0.04). In conclusion, our findings suggest an association between NDUFS1 and AIWG in schizophrenia subjects. To the best of our knowledge, this is the first study to explore genetic variation in the mitochondrial genes in the context of AIWG.

Genome-wide association study on antipsychotic-induced weight gain in the CATIE sample

Antipsychotic-induced weight gain (AIWG) is a common side effect with a high genetic contribution. We reanalyzed genome-wide association study (GWAS) data from the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) selecting a refined subset of patients most suitable for AIWG studies. The final GWAS was conducted in N=189 individuals. The top polymorphisms were analyzed in a second cohort of N=86 patients. None of the single-nucleotide polymorphisms was significant at the genome-wide threshold of 5x10−8. We observed interesting trends for rs9346455 (P=6.49x10−6) upstream of OGFRL1, the intergenic variants rs7336345 (P=1.31 × 10−5) and rs1012650 (P=1.47 × 10−5), and rs1059778 (P=1.49x10−5) in IBA57. In the second cohort, rs9346455 showed significant association with AIWG (P=0.005). The combined meta-analysis P-value for rs9346455 was 1.09 × 10−7. Our reanalysis of the CATIE GWAS data revealed interesting new variants associated with AIWG. As the functional relevance of these polymorphisms is yet to be determined, further studies are needed.The Pharmacogenomics Journal advance online publication, 1 September 2015; doi:10.1038/tpj.2015.59

Analysis of CpG SNPs in 34 genes: Association test with suicide attempt in schizophrenia

BACKGROUND Suicide is the act of intentionally causing ones own death. The lifetime suicide risk in schizophrenia is 4.9% and 20% to 50% of patients with SCZ will attempt suicide during their life. The other risk factors for suicidal behavior in schizophrenia include prior history of suicide attempts, active psychosis, depression and substance abuse. To date, there are no robust genetic or epigenetic predictors of suicide or suicide attempt in this specific population. METHODS We collected detailed clinical information and DNA samples from 241 schizophrenia patients and performed the genetic analyses in suicide attempters and non-attempters, among these patients. Using the structured research interview, we determined the presence of suicide attempt lifetime and then we tested 384 DNA variants in candidate genes supposed to be involved in the neurobiology of schizophrenia. We applied a novel mapping analysis using a specific bioinformatic tool that analyzed only the polymorphic CpG sites in our SNP panel. This analysis looked at the presence or absence of methylation sites affected by the SNP allele. The SNPs in the candidate genes were studied under a different perspective considering their direct contribution to the availability of methylation sites within the gene of interest. The level of potential methylation was compared using a linear model in attempters and non-attempters. RESULTS Among the 384 SNPs selected from the Illumina Bead Chip only the rs2661319 in the RGS4 gene was significantly associated with suicide attempt (p = 0.002). There were 119 CpG SNPs in the aforementioned panel. The gene-wise potential methylation level of RGS4 was 55% in the attempters and 65% in the non-attempters with a p-value of 0.005. The total level of potential metylation in the overall panel (119 SNPs combined) was not associated with suicide attempt. However, when considering the potential methylation at chromosome 1, we found that suicide attempt (p = 0.036) was associated with lower methylation. DISCUSSION The overall results showed no strong association between CpG SNPs and suicide attempt but the information regarding the CpG SNP potential methylation could be used as covariate in future methylation analysis.

Association of orexin receptor polymorphisms with antipsychotic-induced weight gain

Abstract Objectives: Antipsychotic-induced weight gain (AIWG) is a common side effect of treatment with antipsychotics such as clozapine and olanzapine. The orexin gene and its receptors are expressed in the hypothalamus and have been associated with maintenance of energy homeostasis. In this study, we have analysed tagging single nucleotide polymorphisms (SNPs) in orexin receptors 1 and 2 (HCRTR1 and HCRTR2) for association with AIWG. Methods: Schizophrenia or schizoaffective disorder subjects (n = 218), treated mostly with clozapine and olanzapine for up to 14 weeks, were included. Replication was conducted in a subset of CATIE samples (n = 122) treated with either olanzapine or risperidone for up to 190 days. Association between SNPs and AIWG was assessed using analysis of covariance (ANCOVA) with baseline weight and duration of treatment as covariates. Results: Several SNPs in HCRTR2 were nominally associated with AIWG in patients of European ancestry treated with either clozapine or olanzapine (P<0.05). In the replication analysis two SNPs rs3134701 (P = 0.043) and rs12662510 (P = 0.012) were nominally associated with AIWG. None of the SNPs in HCRTR1 were associated with AIWG. Conclusion: This study provides preliminary evidence supporting the role of HCRTR2 in AIWG. However, these results need to be confirmed in large study samples.

The role of genetic variation across IL-1β, IL-2, IL-6, and BDNF in antipsychotic-induced weight gain.

Abstract Objectives. Antipsychotics with high weight gain-inducing propensities influence the expression of immune and neurotrophin genes, which have been independently related to obesity indices. Thus, we investigated whether variants in the genes encoding interleukin (IL)-1β, IL-2, and IL-6 and brain-derived neurotrophic factor (BDNF) Val66Met are associated with antipsychotic-induced weight gain (AIWG). Methods. Nineteen polymorphisms were genotyped using Taqman® assays in 188 schizophrenia patients on antipsychotic treatment for up to 14 weeks. Mean weight change (%) from baseline was compared across genotypic groups using analysis of covariance (ANCOVA). Epistatic effects between cytokine polymorphisms and BDNF Val66Met were tested using Model-Based Multifactor Dimensionality Reduction. Results. In European patients, IL-1β rs16944*GA (P = 0.013, Pcorrected = 0.182), IL-1β rs1143634*G (P = 0.001, Pcorrected = 0.014), and BDNF Val66Met (Val/Val, P = 0.004, Pcorrected = 0.056) were associated with greater AIWG, as were IL-1β rs4849127*A (P = 0.049, Pcorrected = 0.784), and IL-1β rs16944*GA (P = 0.012, Pcorrected = 0.192) in African Americans. BDNF Val66Met interacted with both IL-1β rs13032029 (Val/Met+ TT, PPerm = 0.029), and IL-6 rs2069837 (Val/Val+ AA, PPerm = 0.021) in Europeans, in addition to IL-1β rs16944 (Val/Val+ GA, PPerm = 0.006) in African Americans. Conclusions. SNPs across IL-1β and BDNF Val66Met may influence AIWG. Replication of these findings in larger, independent samples is warranted.

Investigation of TSPO variants in schizophrenia and antipsychotic treatment outcomes

AIM TSPO is a neuroinflammatory biomarker and emerging therapeutic target in psychiatric disorders. We evaluated whether TSPO polymorphisms contribute to interindividual variability in schizophrenia, antipsychotic efficacy and antipsychotic-induced weight gain. PATIENTS & METHODS We analyzed TSPO polymorphisms in 670 schizophrenia cases and 775 healthy controls. Gene-gene interactions between TSPO and other mitochondrial membrane protein-encoding genes (VDAC1 and ANT1) were explored. Positive findings were evaluated in two independent samples (Munich, n = 300; RUPP, n = 119). RESULTS TSPO rs6971 was independently associated with antipsychotic-induced weight gain in the discovery (puncor = 0.04) and RUPP samples (p = 3.00 × 10(-3)), and interacted with ANT1 rs10024068 in the discovery (p = 1.15 × 10(-3)) and RUPP samples (p = 2.76 × 10(-4)). CONCLUSION Our findings highlight TSPO as a candidate for future investigations of antipsychotic-induced weight gain, and support the involvement of mitochondrial membrane components in this serious treatment side effect.

DRD4 VNTR polymorphism and age at onset of severe mental illnesses

A large number of studies has investigated the hypothesis that DRD4 48 bp variable number of tandem repeat (VNTR) polymorphism is involved in the etiology of schizophrenia and bipolar disorder. However, the results are inconsistent likely due to genetic and phenotypic heterogeneity. Age at onset (AAO) is considered an important alternate phenotype for genetic investigations of psychiatric disorders. In the present study, the DRD4 VNTR 7 repeat allele (7R) was examined in 477 patients with major psychoses. Age at onset was defined as the age of first psychotic episode for schizophrenia and the age at appearance of first clinically recognized symptoms for the bipolar sample. Our results showed an interaction between sex and DRD4 genotypes among schizophrenia patients (n=203, β=.213, p=.017). On comparing AAO between carriers and non-carriers of the 7R, we observed that females with 7R present had later onset (p=.021). The effect was not observed for males. In the sample with bipolar disorder, we observed significant association between DRD4 7R-genotype and AAO (n=274, β=-.148, p=.012). No interaction was observed between sex and genotypic groups of the bipolar sample. The 7R was associated with early onset of the bipolar illness (p=.028). In summary, our results suggest that the 7R is associated with AAO in both schizophrenia and bipolar disorders. The effect was observed across both sexes in bipolar disorder, but specifically in females for schizophrenia.

Examining the role of common and rare mitochondrial variants in schizophrenia

Oxidative phosphorylation within mitochondria is the main source of aerobic energy for neuronal functioning, and the key genes are located in mitochondrial DNA. Deficits in oxidative phosphorylation functioning have been reported for schizophrenia, but efforts in the identification of genetic markers within the mitochondrial DNA that predispose to schizophrenia have been limited. We genotyped a set of mitochondrial SNPs using Illumina HumanExome arrays and tested for association in the Swedish schizophrenia sample (N> 10,000). We developed a novel approach for mitochondrial DNA imputation in order to increase the number of common SNPs available for association analysis. The most significant findings were for the mitochondrial SNPs C15452A (GRCh38.p10; rs527236209; p = 0.007; gene MT-CYB; defining haplogroup JT); A11251G (rs869096886; p = 0.007; gene MT-ND4; defining haplogroup JT), and T4216C (rs1599988; p = 0.008, gene MT-ND1, defining haplogroup R2’JT). We also conducted rare variant burden analyses and obtained a p-value of 0.007. For multimarker haplotypes analysis, the most significant finding was for the J group (OR: 0.86, p = 0.02). We conducted the largest association study of mitochondrial DNA variants and schizophrenia but did not find an association that survived multiple testing correction. Analysis of a larger sample is required and will allow a better understanding of the role of mitochondria in schizophrenia.

The Complex Interaction of Mitochondrial Genetics and Mitochondrial Pathways in Psychiatric Disease

While accounting for only 2% of the body’s weight, the brain utilizes up to 20% of the body’s total energy. Not surprisingly, metabolic dysfunction and energy supply-and-demand mismatch have been implicated in a variety of neurological and psychiatric disorders. Mitochondria are responsible for providing the brain with most of its energetic demands, and the brain uses glucose as its exclusive energy source. Exploring the role of mitochondrial dysfunction in the etiology of psychiatric disease is a promising avenue to investigate further. Genetic analysis of mitochondrial activity is a cornerstone in understanding disease pathogenesis related to metabolic dysfunction. In concert with neuroimaging and pathological study, genetics provides an important bridge between biochemical findings and clinical correlates in psychiatric disease. Mitochondrial genetics has several unique aspects to its analysis, and corresponding special considerations. Here, we review the components of mitochondrial genetic analysis – nuclear DNA, mitochondrial DNA, mitochondrial pathways, pseudogenes, nuclear-mitochondrial mismatch, and microRNAs – that could contribute to an observable clinical phenotype. Throughout, we highlight psychiatric diseases that can arise due to dysfunction in these processes, with a focus on schizophrenia and bipolar disorder.