Confirmed rare copy number variants implicate novel genes in schizophrenia.

Understanding how cognitive processes including learning, memory, decision making and ideation are encoded by the genome is a key question in biology. Identification of sets of genes underlying human mental disorders is a path towards this objective. Schizophrenia is a common disease with cognitive symptoms, high heritability and complex genetics. We have identified genes involved with schizophrenia by measuring differences in DNA copy number across the entire genome in 91 schizophrenia cases and 92 controls in the Scottish population. Our data reproduce rare and common variants observed in public domain data from >3000 schizophrenia cases, confirming known disease loci as well as identifying novel loci. We found copy number variants in PDE10A (phosphodiesterase 10A), CYFIP1 [cytoplasmic FMR1 (Fragile X mental retardation 1)-interacting protein 1], K(+) channel genes KCNE1 and KCNE2, the Down's syndrome critical region 1 gene RCAN1 (regulator of calcineurin 1), cell-recognition protein CHL1 (cell adhesion molecule with homology with L1CAM), the transcription factor SP4 (specificity protein 4) and histone deacetylase HDAC9, among others (see http://www.genes2cognition.org/SCZ-CNV). Integrating the function of these many genes into a coherent model of schizophrenia and cognition is a major unanswered challenge.

Disrupted in schizophrenia 1 and phosphodiesterase 4B: towards an understanding of psychiatric illness.

Disrupted in schizophrenia 1 (DISC1) is one of the most convincing genetic risk factors for major mental illness identified to date. DISC1 interacts directly with phosphodiesterase 4B (PDE4B), an independently identified risk factor for schizophrenia. DISC1-PDE4B complexes are therefore likely to be involved in molecular mechanisms underlying psychiatric illness. PDE4B hydrolyses cAMP and DISC1 may regulate cAMP signalling through modulating PDE4B activity. There is evidence that expression of both genes is altered in some psychiatric patients. Moreover, DISC1 missense mutations that give rise to phenotypes related to schizophrenia and depression in mice are located within binding sites for PDE4B. These mutations reduce the association between DISC1 and PDE4B, and one results in reduced brain PDE4B activity. Altered DISC1-PDE4B interaction may thus underlie the symptoms of some cases of schizophrenia and depression. Factors likely to influence this interaction include expression levels, binding site affinities and the DISC1 and PDE4 isoforms involved. DISC1 and PDE4 isoforms are targeted to specific subcellular locations which may contribute to the compartmentalization of cAMP signalling. Dysregulated cAMP signalling in specific cellular compartments may therefore be a predisposing factor for major mental illness.

Disruption of a brain transcription factor, NPAS3, is associated with schizophrenia and learning disability.

A mother and daughter diagnosed with schizophrenia and schizophrenia co-morbid with mild learning disability, respectively, possess a balanced reciprocal translocation t(9,14)(q34.2;q13). Fluorescence in situ hybridization (FISH) with YAC, BAC, and cosmid probes indicate that the chromosome 14q13 breakpoint disrupts a large gene, NPAS3, encoding a CNS expressed transcription factor of the basic helix-loop-helix PAS (bHLH-PAS) gene family. By analogy with other members of the bHLH-PAS family, the putative truncated protein generated from the disrupted gene locus may have a dominant negative effect. The 14q13 region was previously identified by a linkage study of an inherited neurodegenerative condition, idiopathic basal ganglia calcification (IBGC or Fahr syndrome, OMIM:213600/606656), which is often co-morbid with psychosis. Sequencing of the gene in a third patient diagnosed with IBGC, schizophrenia, and mild learning disability did not reveal functional mutations.

Speeding disease gene discovery by sequence based candidate prioritization.

BACKGROUND: Regions of interest identified through genetic linkage studies regularly exceed 30 centimorgans in size and can contain hundreds of genes. Traditionally this number is reduced by matching functional annotation to knowledge of the disease or phenotype in question. However, here we show that disease genes share patterns of sequence-based features that can provide a good basis for automatic prioritization of candidates by machine learning. RESULTS: We examined a variety of sequence-based features and found that for many of them there are significant differences between the sets of genes known to be involved in human hereditary disease and those not known to be involved in disease. We have created an automatic classifier called PROSPECTR based on those features using the alternating decision tree algorithm which ranks genes in the order of likelihood of involvement in disease. On average, PROSPECTR enriches lists for disease genes two-fold 77% of the time, five-fold 37% of the time and twenty-fold 11% of the time. CONCLUSION: PROSPECTR is a simple and effective way to identify genes involved in Mendelian and oligogenic disorders. It performs markedly better than the single existing sequence-based classifier on novel data. PROSPECTR could save investigators looking at large regions of interest time and effort by prioritizing positional candidate genes for mutation detection and case-control association studies.

Candidate psychiatric illness genes identified in patients with pericentric inversions of chromosome 18.

Both the long and short arms of chromosome 18 have been consistently identified as potential locations for schizophrenia and bipolar affective disorder susceptibility genes. We previously described the identification of two independent pericentric inversions of chromosome 18 [inv(18)(p11.31;q21.2) and inv(18)(p11.31;q21.1)] occurring in two small families in which carriers have been diagnosed with schizophrenia and bipolar affective disorder, respectively. Using fluorescence in situ hybridization on patient metaphase chromosomes we have identified the locations of all four chromosome breakpoints in the inversion carriers. Neither pericentric inversion results in a direct gene disruption. However, each inversion breakpoint has the potential to perturb local gene expression by position effect or by the separation of important regulatory (enhancer) sequences from the core gene sequences. Five genes in the localities of the breakpoints have been identified as good candidates for the genetic basis of psychiatric illness in these families; TTMA, a novel membrane spanning protein; TCF4, a basic helix-loop-helix transcription factor; DLGAP1, an interactor of the PSD-95 synaptic protein; and ARKL1 and ARKL2, novel members of the ubiquitin ligase gene family.

A 4q35.2 subtelomeric deletion identified in a screen of patients with co-morbid psychiatric illness and mental retardation.

BACKGROUND: Cryptic structural abnormalities within the subtelomeric regions of chromosomes have been the focus of much recent research because of their discovery in a percentage of people with mental retardation (UK terminology: learning disability). These studies focused on subjects (largely children) with various severities of intellectual impairment with or without additional physical clinical features such as dysmorphisms. However it is well established that prevalence of schizophrenia is around three times greater in those with mild mental retardation. The rates of bipolar disorder and major depressive disorder have also been reported as increased in people with mental retardation. We describe here a screen for telomeric abnormalities in a cohort of 69 patients in which mental retardation co-exists with severe psychiatric illness. METHODS: We have applied two techniques, subtelomeric fluorescence in situ hybridisation (FISH) and multiplex amplifiable probe hybridisation (MAPH) to detect abnormalities in the patient group. RESULTS: A subtelomeric deletion was discovered involving loss of 4q in a patient with co-morbid schizoaffective disorder and mental retardation. CONCLUSION: The precise region of loss has been defined allowing us to identify genes that may contribute to the clinical phenotype through hemizygosity. Interestingly, the region of 4q loss exactly matches that linked to bipolar affective disorder in a large multiply affected Australian kindred.