Comprehensive interrogation of CpG island methylation in the gene encoding COMT, a key estrogen and catecholamine regulator
1 School of Nursing, University of North Carolina, Carrington Hall, CB #7460, Chapel Hill, NC, USA
2 Lineberger Comprehensive Cancer Center, University of North Carolina, 450 West Drive, Chapel Hill, NC, USA
3 Department of Psychology, University of North Carolina, Davie Hall, CB #3270, Chapel Hill, NC, USA
4 Department of Psychology, Biomedical Research Imaging Center, and Bowles Center for Alcohol Studies, University of North Carolina, Davie Hall, CB #3270, Chapel Hill, NC, USA
BMC Medical Genomics 2014, 7:5 doi:10.1186/1755-8794-7-5Published: 24 January 2014
The catechol-O-methyltransferase (COMT) enzyme has been widely studied due to its multiple roles in neurological functioning, estrogen biology, and methylation metabolic pathways. Numerous studies have investigated variation in the large COMT gene, with the majority focusing on single nucleotide polymorphisms (SNPs). This body of work has linked COMT genetic variation with a vast array of conditions, including several neurobehavioral disorders, pain sensitivity, and multiple human cancers. Based on COMT’s numerous biological roles and recent studies suggesting that methylation of the COMT gene impacts COMT gene expression, we comprehensively interrogated methylation in over 200 CpG dinucleotide sequences spanning the length of the COMT gene.
Using saliva-derived DNA from a non-clinical sample of human subjects, we tested for associations between COMT CpG methylation and factors reported to interact with COMT genetic effects, including demographic factors and alcohol use. Finally, we tested associations between COMT CpG methylation state and COMT gene expression in breast cancer cell lines. We interrogated >200 CpGs in 13 amplicons spanning the 5’ UTR to the last exon of the CpG dinucleotide-rich COMT gene in n = 48 subjects, n = 11 cell lines and 1 endogenous 18S rRNA control.
With the exception of the CpG island in the 5’UTR and 1st exon, all other CpG islands were strongly methylated with typical dynamic ranges between 50-90%. In the saliva samples, methylation of multiple COMT loci was associated with socioeconomic status or ethnicity. We found associations between methylation at numerous loci and genotype at the functional Val158Met SNP (rs4680), and most of the correlations between methylation and demographic and alcohol use factors were Val158Met allele-specific. Methylation at several of these loci also associated with COMT gene expression in breast cancer cell lines.
We report the first comprehensive interrogation of COMT methylation. We corroborate previous findings of variation in COMT methylation with gene expression and the Val158Met genotype, and also report novel associations with socioeconomic status (SES) and ethnicity at several methylated loci. These results point to novel mechanisms for COMT regulation, which may have broad therapeutic implications.