Association between variation in the vesicular monoamine transporter 1 gene on chromosome 8p and anxiety-related personality traits

Vesicular monoamine transporters are involved in the presynaptic packaging of norepinephrine, dopamine and serotonin into storage vesicles. The vesicles release their content upon arrival of an action potential into the synaptic cleft. Dysregulation of monoaminergic neurotransmission has been long postulated to play a relevant role in the etiology of neuropsychiatric disorders. The gene encoding the vesicular monoamine transporter 1 (VMAT1/SLC18A1) maps to chromosome 8p21, a region where several linkage peaks overlap between schizophrenia, bipolar disorder and anxiety-related personality traits. In this study, we tested the hypothesis that the missence variation Thr136Ile in the VMAT1/SLC18A1 gene is associated with anxiety-related personality traits. We tested a total of 337 unrelated subjects of German descent (167 male, 170 female). All participants were carefully screened for psychiatric disorders. The self-report State-Trait Anxiety Inventory (STAI) was completed by all subjects. Genotypes were obtained for the Thr136Ile (rs1390938) variation in the VMAT1 gene for all subjects. Genotype effects on personality variables were computed with MANOVA including age as a co-variant and gender as independent factor (MANCOVA). Results show that STAI scores were significantly affected by genotype (F=3.108; d.f.=4,331; p=0.015) and age (F=7.233; d.f.=2,331; p=0.001) but not by gender. A gender-by-genotype effect was observed for both the STAI state (p=0.052) and trait score (p=0.035). Dissection of the group by gender and subsequent contrast analysis of the genotype effects performed within the female group showed significant results (STAI state: Thr/Ile vs. Ile/Ile: T=4.408, p=0.0004; STAI trait: Thr/Ile vs. Ile/Ile: T=3.074, p=0.009) but not in the male group. Our findings support the hypothesis that anxiety-related personality traits are associated with variation in the VMAT1/SLC18A1 gene

Supportive evidence for an allelic association of the human KCNJ10 potassium channel gene with idiopathic generalized epilepsy

Purpose: Quantitative trait loci (QTL) mapping in mice revealed a seizure-related QTL (Szs1), for which the inward-rectifying potassium channel Kcnj10 is the most compelling candidate gene. Association analysis of the human KCNJ10 gene identified a common KCNJ10 missense variation (Arg271Cys) that influences susceptibility to focal and generalized epilepsies. The present replication study tested the initial finding that the KCNJ10 Cys271 allele is associated with seizure resistance to common syndromes of idiopathic generalized epilepsy (IGE). Methods: The study sample comprised 563 German IGE patients and 660 healthy population controls. To search for seizure type-specific effects, two IGE subgroups were formed, comprising 258 IGE patients with typical absences (IAE group) and 218 patients with juvenile myoclonic epilepsy (JME group). A TaqMan nuclease assay was used to genotype the KCNJ10 single nucleotide polymorphism c.1037C>T (dbSNP: rs1130183) that alters amino acid at position 271 from arginine to cysteine. Results: Replication analysis revealed a significant decrease of the Cys271 allele frequency in 446 IGE patients compared to controls (χ2 = 3.52, d.f. = 1, P = 0.030, one-sided; OR Cys271+ = 0.69; 95% CI: 0.50-0.95). Among the IGE subgroups, lack of the Cys271 allele was accentuated in the JME group (χ2 = 5.20, d.f. = 1, P = 0.011, one-sided). Conclusion: Our results support previous evidence that the common KCNJ10 Arg271Cys missense variation influences seizure susceptibility of common IGE syndromes

Association between variation in the human KCNJ10 potassium ion channel gene and seizure susceptibility

Purpose: Our research program uses genetic linkage and association analysis to identify human seizure sensitivity and resistance alleles. Quantitative trait loci mapping in mice led to identification of genetic variation in the potassium ion channel gene Kcnj10, implicating it as a putative seizure susceptibility gene. The purpose of this work was to translate these animal model data to a human genetic association study. Methods: We used single stranded conformation polymorphism (SSCP) electrophoresis, DNA sequencing and database searching (NCBI) to identify variation in the human KCNJ10 gene. Restriction fragment length polymorphism (RFLP) analysis, SSCP and Pyrosequencing™ were used to genotype a single nucleotide polymorphism (SNP, dbSNP rs#1130183) in KCNJ10 in epilepsy patients (n=407) and unrelated controls (n=284). The epilepsy group was comprised of patients with refractory mesial temporal lobe epilepsy (n=153), childhood absence (n=84), juvenile myoclonic (n=111) and idiopathic generalized epilepsy not otherwise specified (IGE-NOS, n=59) and all were of European ancestry. Results: SNP rs#1130183 (C>T) alters amino acid 271 (of 379) from an arginine to a cysteine (R271C). The C allele (Arg) is common with conversion to the T allele (Cys) occurring twice as often in controls compared to epilepsy patients. Contingency analysis documented a statistically significant association between seizure resistance and allele frequency, Mantel-Haenszel chi square=5.65, d.f.=1, P=0.017, odds ratio 0.52, 95% CI 0.33-0.82. Conclusion: The T allele of SNP rs#1130183 is associated with seizure resistance when common forms of focal and generalized epilepsy are analyzed as a group. These data suggest that this missense variation in KCNJ10 (or a nearby variation) is related to general seizure susceptibility in humans

Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis

BACKGROUND: Findings from family and twin studies suggest that genetic contributions to psychiatric disorders do not in all cases map to present diagnostic categories. We aimed to identify specific variants underlying genetic effects shared between the five disorders in the Psychiatric Genomics Consortium: autism spectrum disorder, attention deficit-hyperactivity disorder, bipolar disorder, major depressive disorder, and schizophrenia. METHODS: We analysed genome-wide single-nucleotide polymorphism (SNP) data for the five disorders in 33,332 cases and 27,888 controls of European ancestory. To characterise allelic effects on each disorder, we applied a multinomial logistic regression procedure with model selection to identify the best-fitting model of relations between genotype and phenotype. We examined cross-disorder effects of genome-wide significant loci previously identified for bipolar disorder and schizophrenia, and used polygenic risk-score analysis to examine such effects from a broader set of common variants. We undertook pathway analyses to establish the biological associations underlying genetic overlap for the five disorders. We used enrichment analysis of expression quantitative trait loci (eQTL) data to assess whether SNPs with cross-disorder association were enriched for regulatory SNPs in post-mortem brain-tissue samples. FINDINGS: SNPs at four loci surpassed the cutoff for genome-wide significance (p<5×10(-8)) in the primary analysis: regions on chromosomes 3p21 and 10q24, and SNPs within two L-type voltage-gated calcium channel subunits, CACNA1C and CACNB2. Model selection analysis supported effects of these loci for several disorders. Loci previously associated with bipolar disorder or schizophrenia had variable diagnostic specificity. Polygenic risk scores showed cross-disorder associations, notably between adult-onset disorders. Pathway analysis supported a role for calcium channel signalling genes for all five disorders. Finally, SNPs with evidence of cross-disorder association were enriched for brain eQTL markers. INTERPRETATION: Our findings show that specific SNPs are associated with a range of psychiatric disorders of childhood onset or adult onset. In particular, variation in calcium-channel activity genes seems to have pleiotropic effects on psychopathology. These results provide evidence relevant to the goal of moving beyond descriptive syndromes in psychiatry, and towards a nosology informed by disease cause. FUNDING: National Institute of Mental Health