Exome Sequencing in Schizophrenia Families
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ABSTRACT: Schizophrenia is a complex neuropsychiatric disorder characterized by marked genetic heterogeneity. Much of the genetic architecture of the disorder has yet to be explained, but de novo mutations appear to play an important role. We used exome sequencing of parent-offspring quads and trios to detect de novo mutations in persons with schizophrenia. Patients were more likely to harbor one or more damaging de novo mutations, as compared to their healthy siblings. The genes disrupted by damaging mutations in patients operated in processes important to early brain development.
SECONDARY ACCESSION(S): PRJNA244902PRJNA244901
REPOSITORIES: dbGaP
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Project description:Schizophrenia is a severe psychiatric illness that affects ~1% of the population and has a strong genetic underpinning. Recently, genome wide analysis of copy number variation (CNV) has implicated rare and de novo events as important in schizophrenia. Here we report a genome-wide analysis of 245 schizophrenia cases and 490 controls, all of Ashkenazi Jewish descent. Since many studies have found an excess burden of large, rare deletions in cases, we limited our analysis to deletions over 500 kb in size. We observed seven large, rare deletions in cases with 57% of these being de novo. We focused on one 836 kb de novo deletion at chromosome 3q29 that falls within a 1.3–1.6 Mb deletion previously identified in children with intellectual disability (ID) and autism, as increasing evidence suggests an overlap of specific rare CNVs between autism and schizophrenia. By combining our data with prior CNV studies of schizophrenia and analysis of the data of the Genetic Association Information Network (GAIN), we identified six 3q29 deletions among 7,545 schizophrenic subjects and one among 39,748 controls, resulting in a statistically significant association with schizophrenia (p = 0.02) and an odds ratio estimate of 17 (95% CI: 1.36–1198.4). Moreover, this 3q29 deletion region contains two linkage peaks from prior schizophrenia family studies, and the minimal deletion interval implicates 20 annotated genes, including PAK2 and DLG1, both paralogous to X-linked ID genes and now strong candidates for schizophrenia susceptibility. Copy Number alanysis was performed on 245 cases and 490 controls of Ashkenazi Jewish descent. Samples were analyzed for deletions greater than 500 kb, with 20 or more snps in the interval. Three algorithms were used for analysis, GADA, GLAD and BEAST. The reference was created by using all samples processed here as the reference.
2010-08-06 | E-GEOD-23201 | biostudies-arrayexpress
Project description:Schizophrenia is a severe psychiatric illness that affects ~1% of the population and has a strong genetic underpinning. Recently, genome wide analysis of copy number variation (CNV) has implicated rare and de novo events as important in schizophrenia. Here we report a genome-wide analysis of 245 schizophrenia cases and 490 controls, all of Ashkenazi Jewish descent. Since many studies have found an excess burden of large, rare deletions in cases, we limited our analysis to deletions over 500 kb in size. We observed seven large, rare deletions in cases with 57% of these being de novo. We focused on one 836 kb de novo deletion at chromosome 3q29 that falls within a 1.3–1.6 Mb deletion previously identified in children with intellectual disability (ID) and autism, as increasing evidence suggests an overlap of specific rare CNVs between autism and schizophrenia. By combining our data with prior CNV studies of schizophrenia and analysis of the data of the Genetic Association Information Network (GAIN), we identified six 3q29 deletions among 7,545 schizophrenic subjects and one among 39,748 controls, resulting in a statistically significant association with schizophrenia (p = 0.02) and an odds ratio estimate of 17 (95% CI: 1.36–1198.4). Moreover, this 3q29 deletion region contains two linkage peaks from prior schizophrenia family studies, and the minimal deletion interval implicates 20 annotated genes, including PAK2 and DLG1, both paralogous to X-linked ID genes and now strong candidates for schizophrenia susceptibility.
2010-08-06 | GSE23201 | GEO
Project description:Schizophrenia is a severe psychiatric disorder. Another study in BD has shown an aberrant pro-inflammatory status of monocytes/macrophages. Therefore, this study aimed at studying the monocyte compartment in schizophrenia, by transcription profiling of CD14+ monocytes in patients and controls.
2010-11-20 | E-MEXP-2998 | biostudies-arrayexpress
Project description:De novo mutations in schizophrenia
| EGAD00001000251 | EGA
Project description:Disrupted in schizophrenia 1 is a protein that is encoded by the DISC1 gene in humans. In coordination with a wide array of interacting partners, DISC1 has been shown to participate in the regulation of cell proliferation, differentiation, migration, neuronal axon and dendrite outgrowth, synapse formation and maturation, synaptic transmission, mitochondrial transport, fission and/or fusion, and cell-to-cell adhesion. Several studies have shown that unregulated expression or altered protein structure of DISC1 may predispose individuals to the development of schizophrenia, major depression, bipolar disorder, and other psychiatric conditions. The cellular functions that are disrupted by permutations in DISC1, which lead to the development of these disorders, have yet to be clearly defined and are the subject of current ongoing research.
2021-09-08 | PXD013391 | Pride
Project description:Disrupted circadian rhythms in a mouse model of schizophrenia
2012-03-01 | E-MEXP-3493 | biostudies-arrayexpress
Project description:Background: Schizophrenia is a severe neuropsychiatric disorder that is hypothesized to result from disturbances in early brain development, and there is mounting evidence to support a role for developmentally-regulated epigenetic variation in the molecular etiology of the disorder. Here, we describe a systematic study of schizophrenia-associated methylomic variation in the adult brain and its relationship to changes in DNA methylation across human fetal brain development. Results: We profile methylomic variation in matched prefrontal cortex and cerebellum brain tissue from schizophrenia patients and controls, identifying disease-associated differential DNA methylation at multiple loci, particularly in the prefrontal cortex, and confirming these differences in an independent set of adult brain samples. Our data reveal discrete modules of co-methylated loci associated with schizophrenia that are enriched for genes involved in neurodevelopmental processes and include loci implicated by genetic studies of the disorder. Methylomic data from human fetal cortex samples, spanning 23 to 184 days post-conception, indicates that disease-associated differentially methylated positions are significantly enriched for loci at which DNA methylation is dynamically altered during human fetal brain development. Conclusions: Our data support the hypothesis that schizophrenia has an important early neurodevelopmental component, and suggest that epigenetic mechanisms may mediate these effects. 33 post-mortem brain (prefrontal cortex) samples (18 schizophrenia cases and 15 controls) were obtained from Douglas Bell-Canada Brain Bank (DBCBB), Montreal, Canada. Bisulfite converted DNA from these samples were hybridised to the Illumina Infinium 450k Human Methylation Beadchip v1.0.
2014-09-13 | E-GEOD-61380 | biostudies-arrayexpress
Project description:Background: Schizophrenia is a severe neuropsychiatric disorder that is hypothesized to result from disturbances in early brain development, and there is mounting evidence to support a role for developmentally-regulated epigenetic variation in the molecular etiology of the disorder. Here, we describe a systematic study of schizophrenia-associated methylomic variation in the adult brain and its relationship to changes in DNA methylation across human fetal brain development. Results: We profile methylomic variation in matched prefrontal cortex and cerebellum brain tissue from schizophrenia patients and controls, identifying disease-associated differential DNA methylation at multiple loci, particularly in the prefrontal cortex, and confirming these differences in an independent set of adult brain samples. Our data reveal discrete modules of co-methylated loci associated with schizophrenia that are enriched for genes involved in neurodevelopmental processes and include loci implicated by genetic studies of the disorder. Methylomic data from human fetal cortex samples, spanning 23 to 184 days post-conception, indicates that disease-associated differentially methylated positions are significantly enriched for loci at which DNA methylation is dynamically altered during human fetal brain development. Conclusions: Our data support the hypothesis that schizophrenia has an important early neurodevelopmental component, and suggest that epigenetic mechanisms may mediate these effects. Prefrontal cortex (PFC) and cerebellum samples were obtained from 46 brains archived in the London Brain Bank for Neurodegenerative Disorders (LBBND). Of these 22 were schizophrenia cases, ands of the cases 12 were male.
2014-09-18 | E-GEOD-61431 | biostudies-arrayexpress
Project description:Common genetic variants in and around the gene encoding transcription factor 4 (TCF4) are associated with an increased risk of schizophrenia whereas rare variants have been found in patients with intellectual disability (ID), developmental disorders and autism spectrum disorder (ASD). Haploinsufficiency of TCF4 also causes Pitt Hopkins syndrome (PTHS); a condition characterized by developmental delay, ID and autonomic dysfunction. To understand the role of TCF4 in these disorders, we have used chromatin immunoprecipitation and next generation sequencing (ChIP-seq) to identify the genomic binding sites for TCF4. In this study we identify 10,604 binding sites assigned to 5,437 genes. De novo motif enrichment found that approximately 77% of the TCF4 binding sites contained at least one E-box (5’-CAtcTG). Furthermore, the majority of TCF4 binding sites overlapped with H3K27ac histone mark for active enhancers. Enrichment analysis on the set of TCF4 targets identified numerous, highly significant functional clusters for pathways including nervous system development, ion transport and signal transduction and co-expression modules for genes associated with synaptic function and brain development. Importantly, we found that genes harboring de novo mutations in schizophrenia (P < 5.3 x 10-7), ASD (P < 2.5 x 10-4) and ID (P < 7.6 x 10-3) were also enriched among TCF4 targets. These data demonstrate that TCF4 binding sites are found in a large number of neuronal genes that include genetic risk factors for common neurodevelopmental disorders.
2017-12-08 | GSE96915 | GEO
Project description:Schizophrenia is a complex psychiatric disorder encompassing a range of symptoms and etiology dependent upon the interaction of genetic and environmental factors. Several risk genes, such as DISC1, have been associated with schizophrenia as well as bipolar disorder (BPD) and major depressive disorder (MDD), consistent with the hypothesis that a shared genetic architecture could contribute to divergent clinical syndromes. The present study compared gene expression profiles across three brain regions in post-mortem tissue from matched subjects with schizophrenia, BPD or MDD and unaffected controls. Post-mortem brain tissue was collected from control subjects and well-matched subjects with schizophrenia, BPD, and MDD (n=19 from each group). RNA was isolated from hippocampus, Brodmann Area 46, and associative striatum and hybridized to U133_Plus2 Affymetrix chips. Data were normalized by RMA, subjected to pairwise comparison followed by Benjamini and Hochberg False Discovery Rate correction (FDR). Samples derived from patients with schizophrenia exhibited many more changes in gene expression across all brain regions than observed in BPD or MDD. Several genes showed changes in both schizophrenia and BPD, though the magnitude of change was usually larger in schizophrenia. Several genes that have variants associated with schizophrenia were found to have altered expression in multiple regions of brains from subjects with schizophrenia. Continued evaluation of circuit-level alterations in gene expression and gene-network relationships may further our understanding of how genetic variants may be influencing biological processes to contribute to psychiatric disease. Pre-frontal cortex, striatum and hippocampus were obtained from subjects with schizophrenia, bipolar disorder, major depressive disorder and matched controls.
2014-01-11 | E-GEOD-53987 | biostudies-arrayexpress