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Updated: Jun 5, 2026

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
Published on: November 3, 2010
Gene expression and genetic variation data implicate PCLO in bipolar disorder.
Kwang H Choi1, Brandon W Higgs, Jens R Wendland
1Stanley Laboratory of Brain Research, Rockville, Maryland, USA. kwang.choi@usuhs.mil
Genetic variations influence gene expression in bipolar disorder. A study found one single nucleotide polymorphism (SNP) in the PCLO gene associated with bipolar disorder, highlighting the utility of combining gene expression and genetic data.
Area of Science:
- Neurogenetics
- Psychiatric Genetics
Background:
- Genetic variations may influence gene expression in the brain, potentially contributing to psychiatric disorders.
- Investigating the link between differential gene expression and genetic variations in bipolar disorder is crucial for understanding its etiology.
Purpose of the Study:
- To identify genes with differential expression in bipolar disorder and nearby single nucleotide polymorphisms (SNPs) associated with their expression.
- To test the association of these SNPs with bipolar disorder in large case-control samples.
Main Methods:
- Gene expression and SNP microarray data were analyzed from individuals with bipolar disorder and controls.
- Differentially expressed genes and associated nearby SNPs were identified in the prefrontal cortex.
- A meta-analysis of genome-wide association studies (GWAS) was performed to test SNP associations with bipolar disorder.
Main Results:
- 45 SNPs associated with differentially expressed genes were identified, including those near HBS1L, HLA-DPB1, AMFR, PCLO, and WDR41.
- One SNP (rs13438494) within the PCLO gene showed significant association with bipolar disorder in the GWAS meta-analysis.
Conclusions:
- The findings support the role of PCLO in mood disorders.
- Combining gene expression and genetic variation data enhances the understanding of bipolar disorder's genetic underpinnings.
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