Chromosome 22 deletion syndrome and schizophrenia

Replication analyses of four chromosomal deletions with schizophrenia via independent large-scale meta-analyses

Recent studies suggest that copy number variations (CNVs) are also involved in the genetic risk of schizophrenia. Using a Cochran-Mantel-Haenszel (CMH) adjusted meta-analysis in 18,497 schizophrenia patients and 25,522 healthy controls from 14 independent samples, we conducted replication analyses of four chromosomal deletions at 1q21.1, 15q11.2, 15q13.3, and 22q11.2 Loci for their associations with schizophrenia. Only CNVs larger than 100 kb that had >50% reciprocal overlap with the canonical deletion chromosomal regions were considered. We successfully replicate the significant associations at 1q21.1 (P value = 3.101 × 10^-7 , odds ratio (OR) = 6.91), 15q13.3 (P value = 4.771 × 10^-4 , OR = 7.83), and 22q11.2 (P value = 1.725 × 10^-5 , OR = 9.21) deletions, although the effect sizes are relatively smaller than the original studies, which is not unexpected and adds further support for the involvement of these genetic lesions in the risk of schizophrenia. The 15q11.2 deletion, which shows higher frequency in healthy populations than the other three CNV loci, though is not significant in the present meta-analysis (P value = 0.1545, OR = 1.42), it shows the same direction of effects with previous studies. These results further confirm the genetic connections between rare CNVs and schizophrenia, and suggest the importance of adequate sample size in replication analyses for such risk loci with low frequency in general populations. © 2016 Wiley Periodicals, Inc.

The genomically mosaic brain: aneuploidy and more in neural diversity and disease

Genomically identical cells have long been assumed to comprise the human brain, with post-genomic mechanisms giving rise to its enormous diversity, complexity, and disease susceptibility. However, the identification of neural cells containing somatically generated mosaic aneuploidy - loss and/or gain of chromosomes from a euploid complement - and other genomic variations including LINE1 retrotransposons and regional patterns of DNA content variation (DCV), demonstrate that the brain is genomically heterogeneous. The precise phenotypes and functions produced by genomic mosaicism are not well understood, although the effects of constitutive aberrations, as observed in Down syndrome, implicate roles for defined mosaic genomes relevant to cellular survival, differentiation potential, stem cell biology, and brain organization. Here we discuss genomic mosaicism as a feature of the normal brain as well as a possible factor in the weak or complex genetic linkages observed for many of the most common forms of neurological and psychiatric diseases.

Genetics of schizophrenia from a clinicial perspective

Schizophrenia (SZ) is a common disorder that runs in families. It has a relatively high heritability, i.e., inherited factors account for the major proportion of its etiology. The high heritability has motivated gene mapping studies that have improved in sophistication through the past two decades. Belying earlier expectations, it is now becoming increasingly clear that the cause of SZ does not reside in a single mutation, or even in a single gene. Rather, there are multiple DNA variants, not all of which have been identified. Additional risk may be conferred by interactions between individual DNA variants, as well as 'gene-environment' interactions. We review studies that have accounted for a fraction of the heritability. Their relevance to the practising clinician is discussed. We propose that continuing research in DNA variation, in conjunction with rapid ongoing advances in allied fields, will yield dividends from the perspective of diagnosis, treatment prediction through pharmacogenetics, and rational treatment through discoveries in pathogenesis.

Mice mutant for genes associated with schizophrenia: common phenotype or distinct endophenotypes?

Schizophrenia is a complex neuropsychiatric disorder whose etiology involves a mixture of genetic and environmental factors. By virtue of this complexity, schizophrenia is a field of research in which a number of key technologies converge: in particular, identification of putative susceptibility genes through association studies in clinical populations leads to investigation of the behavioural roles of these genes by targeted manipulation in mice and their phenotypic characterisation ('gene-driven' approach); in a complementary manner, identification of putative pathophysiological processes and therapeutic pathways leads to investigation of behavioural phenotype in mice mutant for genes regulating such processes and pathways ('phenotype-driven' approach). As several susceptibility genes for schizophrenia and numerous genes implicated in the pathophysiology of schizophrenia have now been genetically manipulated in mice, it is timely to consider the roles of these genes in abnormal brain development and the ontogeny of putative schizophrenia-like phenotypes. The aim of this review is to outline existing knowledge from mutant studies concerning the contribution of these genes to the development of a common schizophrenia phenotype vis-à-vis discrete schizophrenia endophenotypes. Emphasis is also placed on the importance of studying gene x environment and gene x gene interactions, as well as addressing methodological issues related to genetic modelling and phenotyping strategies.

Genomic copy number variation, human health, and disease

Despite the long recognised effects of chromosomal structural abnormalities and completion of the Human Genome Project, much of the structural variation in the genome has gone unrecognised until recently. Deletions and duplications of DNA strands of between a few hundred bp and several million bp-collectively referred to as copy number variants-are now known to be widespread. Since 2007, rigorous and adequately powered genome-wide association studies based on single nucleotide polymorphisms have yielded replicated associations to several common diseases. Some copy number variants explain rare, previously uncharacterised disorders, and they are now expected to explain some of the genetic contribution to common diseases. We review efforts to map copy number variants and discuss present and future prospects for assessment of their relation to human health and disease.

A glimmer of light for neuropsychiatric disorders

Understanding the pathogenesis of neuropsychiatric disorders is a substantial challenge for neurobiologists. It has long been hoped that identifying alleles that confer increased risk of such disorders would provide clues for neurobiological investigation. But this quest has been stymied by a lack of validated biological markers for characterizing and distinguishing the different disorders and by the genetic complexity underpinning these diseases. Now, modern genomic technologies have begun to facilitate the discovery of relevant genes.

Rare chromosomal deletions and duplications increase risk of schizophrenia

Schizophrenia is a severe mental disorder marked by hallucinations, delusions, cognitive deficits and apathy, with a heritability estimated at 73-90% (ref. 1). Inheritance patterns are complex, and the number and type of genetic variants involved are not understood. Copy number variants (CNVs) have been identified in individual patients with schizophrenia and also in neurodevelopmental disorders, but large-scale genome-wide surveys have not been performed. Here we report a genome-wide survey of rare CNVs in 3,391 patients with schizophrenia and 3,181 ancestrally matched controls, using high-density microarrays. For CNVs that were observed in less than 1% of the sample and were more than 100 kilobases in length, the total burden is increased 1.15-fold in patients with schizophrenia in comparison with controls. This effect was more pronounced for rarer, single-occurrence CNVs and for those that involved genes as opposed to those that did not. As expected, deletions were found within the region critical for velo-cardio-facial syndrome, which includes psychotic symptoms in 30% of patients. Associations with schizophrenia were also found for large deletions on chromosome 15q13.3 and 1q21.1. These associations have not previously been reported, and they remained significant after genome-wide correction. Our results provide strong support for a model of schizophrenia pathogenesis that includes the effects of multiple rare structural variants, both genome-wide and at specific loci.