title: Genome-wide DNA methylation analysis in alcohol dependence.
abstract: Genetic, epigenetic, and environmental factors influence the development of alcohol dependence (AD). Recent studies have shown that DNA methylation markers in peripheral blood may serve as risk markers for AD. Yet a genome-wide epigenomic approach investigating the role of DNA methylation in AD has yet to be performed. We conducted a population-based, case-control study of genome-wide DNA methylation to determine if alterations in gene-specific methylation were associated with AD in a Chinese population. Using the Illumina Infinium Human Methylation27 BeadChip, we assessed gene-specific methylation in over 27 000 CpG sites from DNA isolated from lymphocytes in 63 male AD in-patients and 65 male healthy controls. Using a multi-factorial statistical model, we observed differential methylation between cases and controls at multiple CpG sites with the majority of the methylated CpG sites being hypomethylated. Analyses with the online gene set analysis toolkit WebGestalt revealed that the genes of interest were enriched in multiple biological processes involved in AD development. Gene Ontology function annotation showed that stress, immune response and signal transduction were highly associated with AD. Further analysis by the Kyoto Encyclopedia of Genes and Genomes revealed associations with multiple pathways involved in metabolism through cytochrome P450, cytokine-cytokine receptor interaction and calcium signaling. Associations with canonical pathways previously shown to be involved in AD were also observed, such as dehydrogenases 1A (ADH1A), ADH7, aldehyde dehydrogenases 3B2 (ALDH3B2) and cytochrome P450 2A13. We present evidence that alterations in DNA methylation may be associated with AD, which is consistent with epigenetic theory.
authors: The 2nd Hospital affiliated to Xinxiang Medical University, Xinxiang City, Henan Province, China.
authors: Ruiling
authors: R
authors: Zhang
authors: Qin
authors: Q
authors: Miao
authors: Chuansheng
authors: C
authors: Wang
authors: Rongrong
authors: R
authors: Zhao
authors: Wenqiang
authors: W
authors: Li
authors: Colin N
authors: CN
authors: Haile
authors: Wei
authors: W
authors: Hao
authors: Xiang Yang
authors: XY
authors: Zhang
mesh_terms: D000328:Adult; D000437:Alcoholism / Q000453:epidemiology / Q000235:genetics*; D016022:Case-Control Studies; D002681:China / Q000453:epidemiology; D018899:CpG Islands; D003577:Cytochrome P-450 Enzyme System / Q000235:genetics; D019175:DNA Methylation / Q000235:genetics*; D044127:Epigenesis, Genetic / Q000187:drug effects; D057890:Epigenomics / Q000706:statistics & numerical data*; D000431:Ethanol / Q000009:adverse effects / Q000378:metabolism; D056426:Genetic Loci; D005819:Genetic Markers; D020022:Genetic Predisposition to Disease / Q000235:genetics; D015894:Genome, Human; D055106:Genome-Wide Association Study; D006801:Humans; D007113:Immunity, Innate / Q000235:genetics; D008297:Male; D046228:Microarray Analysis / Q000379:methods; D008875:Middle Aged; D015233:Models, Statistical; D018121:Receptors, Cytokine / Q000235:genetics; D015398:Signal Transduction / Q000235:genetics; D013315:Stress, Psychological / Q000235:genetics
chemical_list: D005819:Genetic Markers; D018121:Receptors, Cytokine; D000431:Ethanol; D003577:Cytochrome P-450 Enzyme System