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Published on: December 2, 2015
Expression profiles of schizophrenia susceptibility genes during human prefrontal cortical development
Kwang H Choi1, Megan E Zepp, Brandon W Higgs
1Stanley Medical Research Institute, Rockville, MD 20850, USA. choik@stanleyresearch.org
Insights
Schizophrenia susceptibility genes show age-dependent expression changes in the human prefrontal cortex (PFC). Disruptions during development may increase schizophrenia risk.
Area of Science:
- Neuroscience
- Genetics
- Developmental Biology
Background:
- Human prefrontal cortex (PFC) development is crucial for cognitive function.
- Disruptions in PFC development are linked to cognitive dysfunction in schizophrenia.
- Identifying age-associated genes in the PFC is key to understanding schizophrenia.
Purpose of the Study:
- To identify genes associated with age in the human PFC.
- To investigate the role of these genes in schizophrenia.
Main Methods:
- Generated genome-wide expression profiles for human PFCs (1 month to 49 years).
- Utilized Affymetrix HG-U133 plus 2.0 microarrays (54,675 transcripts).
- Performed functional annotation using Gene Ontology and Genetic Association Database (GAD).
Main Results:
- Identified 2281 age-associated transcripts in the human PFC.
- Schizophrenia was an over-represented disease class among age-associated genes (42 susceptibility genes).
- Glutamate receptor genes were consistently downregulated across age.
Conclusions:
- Multiple schizophrenia susceptibility genes exhibit age-dependent expression changes in the human PFC.
- Disruptions in these genes during critical developmental periods may predispose individuals to schizophrenia.
- Postmortem brain studies may have confounding factors affecting gene expression.
Background:
Disruption in normal development of the human prefrontal cortex (PFC) may lead to cognitive dysfunction that manifests in individuals with schizophrenia. We sought to identify genes associated with age that are implicated in schizophrenia.
Methods:
We generated genome-wide expression profiles for the PFCs of humans ranging in age from 1 month to 49 years using the Affymetrix HG-U133 plus 2.0 microarrays (54 675 transcripts). Based on the criteria of significance (false discovery rate [FDR]-adjusted q < 0.001 and r(2) > 0.6), we identified the genes associated with age in the PFC. We then performed functional annotation analyses of age-associated genes using the Gene Ontology and the Genetic Association Database (GAD).
Results:
We found robust age-dependent changes in gene expression in the PFCs of humans (2281 transcripts). The GAD analysis revealed that schizophrenia was an over-represented disease class, with 42 susceptibility genes included (p < 0.001, fold enrichment = 1.66, FDR = 1.5%). Among the 42 genes, glutamate receptor genes (GRIA1, GRIK1, GRIK2, GRIN2D, GRIP1, GRM5, GRM7 and SLC1A6) were consistently downregulated across age. We confirmed microarray gene expression changes by the quantitative polymerase chain reaction experiment.
Limitations:
Although numerous genes undergo robust changes in expression during the PFC development, some of the changes may be confounded by known and unknown factors that are intrinsic to the postmortem brain studies.
Conclusion:
Multiple schizophrenia susceptibility genes undergo age-dependent expression changes in the human PFC, and any disruption in those genes during the critical period of development may predispose the individuals to schizophrenia.
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