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Array-based profiling of DNA methylation changes associated with alcohol dependence.

ABSTRACT: Epigenetic regulation through DNA methylation may influence vulnerability to numerous disorders, including alcohol dependence (AD).Peripheral blood DNA methylation levels of 384 CpGs in the promoter regions of 82 candidate genes were examined in 285 African Americans (AAs; 141 AD cases and 144 controls) and 249 European Americans (EAs; 144 AD cases and 105 controls) using Illumina GoldenGate Methylation Array assays. Association of AD and DNA methylation changes was analyzed using multivariate analyses of covariance with frequency of intoxication, sex, age, and ancestry proportion as covariates. CpGs showing significant methylation alterations in AD cases were further examined in a replication sample (49 EA cases and 32 EA controls) using Sequenom's MassARRAY EpiTYPER technology.In AAs, 2 CpGs in 2 genes (GABRB3 and POMC) were hypermethylated in AD cases compared with controls (p ? 0.001). In EAs, 6 CpGs in 6 genes (HTR3A, NCAM1, DRD4, MBD3, HTR2B, and GRIN1) were hypermethylated in AD cases compared with controls (p ? 0.001); CpG cg08989585 in the HTR3A promoter region showed a significantly higher methylation level in EA cases than in EA controls after Bonferroni correction (p = 0.00007). Additionally, methylation levels of 6 CpGs (including cg08989585) in the HTR3A promoter region were analyzed in the replication sample. Although the 6 HTR3A promoter CpGs did not show significant methylation differences between EA cases and EA controls (p = 0.067 to 0.877), the methylation level of CpG cg08989585 was nonsignificantly higher in EA cases (26.9%) than in EA controls (18.6%; p = 0.139).The findings from this study suggest that DNA methylation profile appears to be associated with AD in a population-specific way and the predisposition to AD may result from a complex interplay of genetic variation and epigenetic modifications.

SUBMITTER: Zhang H

PROVIDER: S-EPMC3511647 | biostudies-literature | 2013 Jan

REPOSITORIES: biostudies-literature

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Array-based profiling of DNA methylation changes associated with alcohol dependence.

Zhang Huiping H Herman Aryeh I AI Kranzler Henry R HR Anton Raymond F RF Zhao Hongyu H Zheng Wei W Gelernter Joel J

Alcoholism, clinical and experimental research 20120824

<h4>Background</h4>Epigenetic regulation through DNA methylation may influence vulnerability to numerous disorders, including alcohol dependence (AD).<h4>Methods</h4>Peripheral blood DNA methylation levels of 384 CpGs in the promoter regions of 82 candidate genes were examined in 285 African Americans (AAs; 141 AD cases and 144 controls) and 249 European Americans (EAs; 144 AD cases and 105 controls) using Illumina GoldenGate Methylation Array assays. Association of AD and DNA methylation change ...[more]

PMID: 22924764

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Project description:Undifferentiated solid tumors with small blue round cell histology and expression of CD99 mostly resemble Ewing sarcoma. However, they also may include other tumors such as mesenchymal chondrosarcoma, synovial sarcoma, or small cell osteosarcoma. Definitive classification usually requires detection of entity-specific mutations. While this approach identifies the majority of Ewing sarcomas, a subset of lesions remains unclassified and, therefore, has been termed "Ewing-like sarcomas" or small blue round cell tumors not otherwise specified. We developed an approach for further characterization of small blue round cell tumors not otherwise specified using an array-based DNA-methylation profiling approach. Data were analyzed by unsupervised clustering and t-distributed stochastic neighbor embedding analysis and compared with a reference methylation data set of 460 well-characterized prototypical sarcomas encompassing 18 subtypes. Verification was performed by additional FISH analyses, RNA sequencing from formalin-fixed paraffin-embedded material or immunohistochemical marker analyses. In a cohort of more than 1,000 tumors assumed to represent Ewing sarcomas, 30 failed to exhibit the typical EWS translocation. These tumors were subjected to methylation profiling and could be assigned to Ewing sarcoma in 14 (47%), to small blue round cell tumors with CIC alteration in 6 (20%), to small blue round cell tumors with BCOR alteration in 4 (13%), to synovial sarcoma and to malignant rhabdoid tumor in 2 cases each. One single case each was allotted to mesenchymal chondrosarcoma and adamantinoma. 12/14 tumors classified as Ewing sarcoma could be verified by demonstrating either a canonical EWS translocation evading initial testing, by identifying rare breakpoints or fusion partners. The methylation-based assignment of the remaining small blue round cell tumors not otherwise specified also could be verified by entity-specific molecular alterations in 13/16 cases. In conclusion, array-based DNA-methylation analysis of undifferentiated tumors with small blue round cell histology is a powerful tool for precisely classifying this diagnostically challenging tumor group.

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Array-based profiling of DNA methylation changes associated with alcohol dependence.

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Array-based profiling of DNA methylation changes associated with alcohol dependence.

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