ReviewMolecular psychiatry2013
The emerging spectrum of allelic variation in schizophrenia: current evidence and strategies for the identification and functional characterization of common and rare variants.
Review in Molecular psychiatry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.
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Who cites it
40 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Risk alleles of genes with monoallelic expression are enriched in gain-of-function variants and depleted in loss-of-function variants for neurodevelopmental disorders.Molecular psychiatry · 2017Pooled it
- Exploring functional dysconnectivity in schizophrenia: alterations in eigenvector centrality mapping and insights into related genes from transcriptional profiles.Schizophrenia (Heidelberg, Germany) · 2024Article
- Transcriptional signatures of the whole-brain voxel-wise resting-state functional network centrality alterations in schizophrenia.Schizophrenia (Heidelberg, Germany) · 2023Article
- Article
- Transcriptional profile of pyramidal neurons in chronic schizophrenia reveals lamina-specific dysfunction of neuronal immunity.Molecular psychiatry · 2021Article
- Effects ofNeuropsychiatric disease and treatment · 2020Article
- Multiple Rare Risk Coding Variants in Postsynaptic Density-Related Genes Associated With Schizophrenia Susceptibility.Frontiers in genetics · 2020Article
- Treatment resistant schizophrenia: Clinical, biological, and therapeutic perspectives.Neurobiology of disease · 2019Review
- Screening for rare epigenetic variations in autism and schizophrenia.Human mutation · 2019Article
- Genetic risk for schizophrenia and developmental delay is associated with shape and microstructure of midline white-matter structures.Translational psychiatry · 2019Article
- Functional analysis of schizophrenia genes using GeneAnalytics program and integrated databases.Gene · 2018Article
- Rare genetic variants in CX3CR1 and their contribution to the increased risk of schizophrenia and autism spectrum disorders.Translational psychiatry · 2017Article
- Investigation of single-nucleotide variants in MBD5 associated with autism spectrum disorders and schizophrenia phenotypes.Nagoya journal of medical science · 2016Article
- KCNH2-3.1 expression impairs cognition and alters neuronal function in a model of molecular pathology associated with schizophrenia.Molecular psychiatry · 2016Article
- The Human MSI2 Gene is Associated with Schizophrenia in the Chinese Han Population.Neuroscience bulletin · 2016Article
- An integrated analysis tool for analyzing hybridization intensities and genotypes using new-generation population-optimized human arrays.BMC genomics · 2016Article
- Article
- Investigation of Rare Single-Nucleotide PCDH15 Variants in Schizophrenia and Autism Spectrum Disorders.PloS one · 2016Article
- Gsx1 expression defines neurons required for prepulse inhibition.Molecular psychiatry · 2015Article
- S-SCAM, a rare copy number variation gene, induces schizophrenia-related endophenotypes in transgenic mouse model.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
After decades of halting progress, recent large genome-wide association studies (GWAS) are finally shining light on the genetic architecture of schizophrenia. The picture emerging is one of sobering complexity, involving large numbers of risk alleles across the entire allelic spectrum. The aims of this article are to summarize the key genetic findings to date and to compare and contrast methods for identifying additional risk alleles, including GWAS, targeted genotyping and sequencing. A further aim is to consider the challenges and opportunities involved in determining the functional basis of genetic associations, for instance using functional genomics, cellular models, animal models and imaging genetics. We conclude that diverse approaches will be required to identify and functionally characterize the full spectrum of risk variants for schizophrenia. These efforts should adhere to the stringent standards of statistical association developed for GWAS and are likely to entail very large sample sizes. Nonetheless, now more than any previous time, there are reasons for optimism and the ultimate goal of personalized interventions and therapeutics, although still distant, no longer seems unattainable.
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