Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Genotyping data from 54 patients with deficit schizophrenia

ABSTRACT: Schizophrenia is a severe psychiatric disease with complex etiology, affecting approximately one percent of the general population. Most genetic studies so far focused on disease association with common genetic variation such as single nucleotide polymorphisms, but recently it has become apparent that large-scale genomic copy number variants (CNVs) are involved in disease development as well. To assess the role of rare CNVs in schizophrenia, we screened 54 patients with deficit schizophrenia using Affymetrixâ GeneChip 250K SNP arrays. Keywords: genomic hybridisation We hybridized genomic DNA of 54 patients with deficit schizophrenia to Affymetrix' GeneChip 250K SNP (Nsp) arrays, and identified genome-wide CNV using the Copy Number Analyzer for Affymetrix GeneChip (CNAG v2.0) software, which uses a Hidden Markov Model (HMM) algorithm to calculate copy numbers.

ORGANISM(S): Homo sapiens

SUBMITTER: Jayne Hehir-Kwa

PROVIDER: E-GEOD-12714 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Recurrent CNVs disrupt three candidate genes in schizophrenia patients.

Vrijenhoek Terry T Buizer-Voskamp Jacobine E JE van der Stelt Inge I Strengman Eric E Sabatti Chiara C Geurts van Kessel Ad A Brunner Han G HG Ophoff Roel A RA Veltman Joris A JA

American journal of human genetics 20081001 4

Schizophrenia is a severe psychiatric disease with complex etiology, affecting approximately 1% of the general population. Most genetics studies so far have focused on disease association with common genetic variation, such as single-nucleotide polymorphisms (SNPs), but it has recently become apparent that large-scale genomic copy-number variants (CNVs) are involved in disease development as well. To assess the role of rare CNVs in schizophrenia, we screened 54 patients with deficit schizophreni ...[more]

PMID: 18940311

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Project description:Immunoglobulin A Nephropathy (IgAN) is a complex multifactorial disease whose genetic bases remain unknown. Distinct linkage and genome-wide association studies in both familial and sporadic IgAN suggest that there is a strong genetic component in IgAN. In this context, an intriguing role could be ascribed to copy number variants (CNVs) that have been recognized as an important source of genetic variation in humans. Here, we performed a whole-genome screening of CNVs in IgAN patients, their healthy relatives and healthy subjects (HS). A total of 217 individuals consisting of 51 IgAN cases and 166 healthy relatives were included in the initial screening. The high-throughput analysis of structural genetic variations, to find concordant aberrations across classes of samples, identified 178 IgAN-specific aberrations, specifically 114 loss and 64 gain. Several CNVs overlapped with regions evidenced by previous genome-wide genetic studies. Moreover, we found that IgAN patients characterized by deteriorated renal function carried low copy numbers of a CNV in chromosome 3 (chr3_loss:52031010-52260722). This CNV contained the TLR9 gene whose expression significantly correlated with the loss aberration in patients with progressive renal damage. Conversely, IgAN patients with normal renal function had no chr3_loss:52031010-52260722 and the TLR9 mRNA was expressed at the same level as in HS, still maintaining a strong correlation with the CNV. In conclusion, here we performed the first genome-wide CNV study in IgAN identifying some structural variants specific to IgAN patients and providing a collection of new candidate genes and loci that could help to dissect the complex genomic setting of the disease. Moreover, we identified a specific CNV, spanning the TLR9 gene, which could explain the disease severity in IgAN patients. To perform a genome-wide CNV study in IgAN identifying some structural variants specific to IgAN patients and providing a collection of new candidate genes and loci that could help to dissect the complex genomic setting of the disease.

Dataset Information

Genotyping data from 54 patients with deficit schizophrenia

Publications

Recurrent CNVs disrupt three candidate genes in schizophrenia patients.

Similar Datasets

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