[HTML][HTML] A core collection of pan-schizophrenia genes allows building cohort-specific signatures of affected brain

Q Xie, WW Shen, Z Li, A Baranova, H Cao, Z Li - Scientific Reports, 2019 - nature.com
To investigate whether pan-schizophrenia genes could be leveraged for building cohort-
specific signatures reflecting the functioning of the affected brain, we first collected 1,518 …

[HTML][HTML] Identification of schizophrenia symptom-related gene modules by postmortem brain transcriptome analysis

K Miyahara, M Hino, R Shishido, A Nagaoka… - Translational …, 2023 - nature.com
Schizophrenia is a multifactorial disorder, the genetic architecture of which remains unclear.
Although many studies have examined the etiology of schizophrenia, the gene sets that …

[HTML][HTML] NetMoST: A network-based machine learning approach for subtyping schizophrenia using polygenic SNP allele biomarkers

X Wei, S Dong, Z Su, L Tang, P Zhao, C Pan, F Wang… - ArXiv, 2023 - ncbi.nlm.nih.gov
Subtyping neuropsychiatric disorders like schizophrenia is essential for improving the
diagnosis and treatment of complex diseases. Subtyping schizophrenia is challenging …

Genome-wide expression profiling of schizophrenia using a large combined cohort

M Mistry, J Gillis, P Pavlidis - Molecular psychiatry, 2013 - nature.com
Numerous studies have examined gene expression profiles in post-mortem human brain
samples from individuals with schizophrenia compared with healthy controls, to gain insight …

Multi-scale analysis of schizophrenia risk genes, brain structure, and clinical symptoms reveals integrative clues for subtyping schizophrenia patients

L Ma, ET Rolls, X Liu, Y Liu, Z Jiao… - Journal of molecular …, 2019 - academic.oup.com
Abstract Analysis linking directly genomics, neuroimaging phenotypes and clinical
measurements is crucial for understanding psychiatric disorders, but remains rare. Here, we …

[HTML][HTML] A gene co-expression network in whole blood of schizophrenia patients is independent of antipsychotic-use and enriched for brain-expressed genes

S de Jong, MPM Boks, TF Fuller, E Strengman… - PloS one, 2012 - journals.plos.org
Despite large-scale genome-wide association studies (GWAS), the underlying genes for
schizophrenia are largely unknown. Additional approaches are therefore required to identify …

[HTML][HTML] Expansion of schizophrenia gene network knowledge using machine learning selected signals from dorsolateral prefrontal cortex and amygdala RNA-seq …

Y Liu, HQ Qu, X Chang, L Tian, J Glessner… - Frontiers in …, 2022 - frontiersin.org
It is widely accepted, given the complex nature of schizophrenia (SCZ) gene networks, that a
few or a small number of genes are unlikely to represent the underlying functional pathways …

[引用][C] 30. Clustering Schizophrenia Genes by Their Temporal Expression Patterns Aids Functional Interpretation

D van der Meer, W Cheng… - Biological …, 2023 - biologicalpsychiatryjournal.com
Background Schizophrenia is a highly heritable brain disorder with a typical symptom onset
in early adulthood. The two-hit hypothesis posits that schizophrenia results from deviant …

Identification and prioritization of gene sets associated with schizophrenia risk by co-expression network analysis in human brain

E Radulescu, AE Jaffe, RE Straub, Q Chen… - Molecular …, 2020 - nature.com
Schizophrenia polygenic risk is plausibly manifested by complex transcriptional
dysregulation in the brain, involving networks of co-expressed and functionally related …

[PDF][PDF] CLUSTERING SCHIZOPHRENIA GENES BY THEIR TEMPORAL EXPRESSION PATTERNS AIDS FUNCTIONAL INTER-PRETATION

D van der Meer, W Cheng, J Rokicki… - European …, 2022 - scholar.archive.org
Schizophrenia is a highly heritable brain disorder with a typical symptom onset in early
adulthood. The two-hit hypothesis posits that schizophrenia results from deviant early …