ArticleInternational journal of molecular sciences2021
Translational Study of Copy Number Variations in Schizophrenia.
Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed.
- Allele-specific expression in the brain links genetic risk and cortical thinning in psychiatric disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- Roles of NRXN1 in neuropsychiatric disorders: from genetic lesion to molecular mechanism.Frontiers in neuroscience · 2026Review
- Cognitive effects of aromatase inhibitors in early breast cancer patients: a prospective study.Breast cancer research and treatment · 2025Article
- Proteomic association with age-dependent sex differences in Wisconsin Card Sorting Test performance in healthy Thai subjects.Scientific reports · 2023Article
- Whole Genome Sequencing Revealed Inherited Rare Oligogenic Variants Contributing to Schizophrenia and Major Depressive Disorder in Two Families.International journal of molecular sciences · 2023Article
- DeepGenePrior: A deep learning model for prioritizing genes affected by copy number variants.PLoS computational biology · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Rare copy number variations (CNVs) are part of the genetics of schizophrenia; they are highly heterogeneous and personalized. The CNV Analysis Group of the Psychiatric Genomic Consortium (PGC) conducted a large-scale analysis and discovered that recurrent CNVs at eight genetic loci were pathogenic to schizophrenia, including 1q21.1, 2p16.3 (NRXN1), 3q29, 7q11.23, 15q13.3, distal 16p11.2, proximal 16p11.2, and 22q11.2. We adopted a two-stage strategy to translate this knowledge into clinical psychiatric practice. As a screening test, we first developed a real-time quantitative PCR (RT-qPCR) panel that simultaneously detected these pathogenic CNVs. Then, we tested the utility of this screening panel by investigating a sample of 557 patients with schizophrenia. Chromosomal microarray analysis (CMA) was used to confirm positive cases from the screening test. We detected and confirmed thirteen patients who carried CNVs at these hot loci, including two patients at 1q21.1, one patient at 7q11.2, three patients at 15q13.3, two patients at 16p11.2, and five patients at 22q11.2. The detection rate in this sample was 2.3%, and the concordance rate between the RT-qPCR test panel and CMA was 100%. Our results suggest that a two-stage approach is cost-effective and reliable in achieving etiological diagnosis for some patients with schizophrenia and improving the understanding of schizophrenia genetics.
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