Volume 7 Supplement 1
Investigation of genetic variants regulating the expression of metabotropic glutamate receptor, subtype 5 (GRM5) mRNA in human brain
© Wang and Saffen; licensee BioMed Central Ltd. 2012
Published: 7 February 2012
The metabotropic glutamate receptor, subtype 5 (GRM5) regulates cell excitability and neurotransmission and has been suggested to play a modifying role in several neuropsychiatric and neurodegenerative disorders, including Parkinson’s disease (PD). The observation that GRM5 inhibitors ameliorate symptoms and slow the degradation of nigrostriatal dopamine neurons in rodent models of PD suggests that low expression of GRM5 may also reduce symptoms in human patients and, possibly, slow the development of the disease. The goal of the present study is quantify common variation of GRM5 mRNA expression in human brain and identify haplotypes or combinations of genotypes that correlate with mRNA expression. Haplotypes and genotype combinations that predict mRNA expression should be useful as markers in genetic association studies aimed at detecting possible contributions of GRM5 to PD and other disorders.
Sixty-three independent frozen sections of prefrontal cortex (Han Chinese; Brodmann area 46) were obtained from the China Brain Bank Center (Wuhan). Genomic DNA and total RNA were isolated using standard procedures. A common SNP, rs566277 (heterozygosity = 0.42), located within the 3’-untranslated region of GRM5 mRNA was chosen as a molecular marker to distinguish mRNAs derived from each autosomal allele. SNaPShot©-based AEI assays were carried out as previously described [Lim J et al., Molecular Psychiatry, 2007]. Analysis of population distributions of log2AEI ratios was carried out using a mathematical model developed in-house. Levels of GRM5 mRNA relative to mRNA encoding the house-keeping gene GAPDH were quantified using real-time PCR (calculated as ΔCt). Genomewide genotyping of samples was carried out using HumanOmni1-Qad arrays (Illumina). SNPs for which allelic heterozygosity and homozygosity correlate with AEI were identified by calculating Kappa coefficients for single-, double-, and triple- combinations of SNPs within a 500,000 base pair region of chromosome 11 centered on GRM5. SNPs with genotypes that correlate with GRM5 mRNA expression were identified by one-way ANOVA analysis for SNPs in same region.
Eleven of 18 samples heterozygous for the marker SNP showed robust differential expression between alleles. Mathematical modeling of the population distribution of log2AEI ratios suggested that GRM5 mRNA is regulated by two cis-acting genetic elements that are partially linked to the marker SNP (D’ = 0.24) and tightly linked with each other (D’ = 1.0). Three sets of tightly linked SNPs located in immediate the 5’-upstream region (rs7120151 + rs12421343 or rs4378401 or rs496939) were found to fit this model (r-squared ~ 0.9 for predicted vs experimentally determined log2AEI population distributions) and to be highly correlated with AEI (Kappa coefficient = 0.75 for rs7120151 + rs12421343 or rs4378401, and 0.5 for rs7120151 + rs496939). Correlations between genotype and relative GRM5 mRNA expression for rs7120151 and rs496939 just missed statistical significance (P = 0.05 – 0.057), but were statistically significant for the tightly linked SNPs rs655683 and rs7126679 (P = 0.035 and 0.03).
Our study suggests that expression of GMR5 mRNA is regulated by two tightly linked genetic elements located within a 77 kb region centered on the exon 1 and the promoter region. SNPs that highly correlate with AEI and mRNA expression should provide useful markers in genetic association studies aimed at evaluating the potential role of GRM5 as a genetic modifier of neuropsychiatric and neurodegenerative disorders, including PD.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.