Dataset Information

The effect of smoking on MAOA promoter methylation in DNA prepared from lymphoblasts and whole blood.

ABSTRACT: Prior work using lymphoblast DNA prepared from 192 subjects from the Iowa Adoption Studies (IAS) demonstrated that decreased MAOA promoter methylation was associated with lifetime symptom count for nicotine dependence (ND) and provided suggestive evidence that the amount of methylation is genotype dependent. In the current investigation, we replicate and extend these prior findings in three ways using another 289 IAS subjects and the same methodologies. First, we show that methylation is dependent on current smoking status. Second, we introduce a factor analytic approach to DNA methylation, highlighting three distinct regions of the promoter that may function in somewhat different ways for males and females. Third, we directly compare the methylation signatures in DNA prepared from whole blood and lymphoblasts from a subset of these subjects and provide suggestive evidence favoring the use of lymphoblast DNA. We conclude that smoking reliably decreases MAOA methylation, but exact characterization of effects on level of methylation depend on genotype, smoking history, current smoking status, gender, and region of the promoter-associated CpG Island examined.

SUBMITTER: Philibert RA

PROVIDER: S-EPMC3694401 | biostudies-literature | 2010 Mar

REPOSITORIES: biostudies-literature

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The effect of smoking on MAOA promoter methylation in DNA prepared from lymphoblasts and whole blood.

Philibert Robert A RA Beach Steven R H SRH Gunter Tracy D TD Brody Gene H GH Madan Anup A Gerrard Meg M

American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics 20100301 2

Prior work using lymphoblast DNA prepared from 192 subjects from the Iowa Adoption Studies (IAS) demonstrated that decreased MAOA promoter methylation was associated with lifetime symptom count for nicotine dependence (ND) and provided suggestive evidence that the amount of methylation is genotype dependent. In the current investigation, we replicate and extend these prior findings in three ways using another 289 IAS subjects and the same methodologies. First, we show that methylation is depende ...[more]

PMID: 19777560

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Project description:Background:Smoking has been reported to be associated with peripheral blood DNA methylation, but the causal aspects of the association have rarely been investigated. We aimed to investigate the association and underlying causation between smoking and blood methylation. Methods:The methylation profile of DNA from the peripheral blood, collected as dried blood spots stored on Guthrie cards, was measured for 479 Australian women including 66 monozygotic twin pairs, 66 dizygotic twin pairs, and 215 sisters of twins from 130 twin families using the Infinium HumanMethylation450K BeadChip array. Linear regression was used to estimate associations between methylation at ~?410,000 cytosine-guanine dinucleotides (CpGs) and smoking status. A regression-based methodology for twins, Inference about Causation through Examination of Familial Confounding (ICE FALCON), was used to assess putative causation. Results:At a 5% false discovery rate, 39 CpGs located at 27 loci, including previously reported AHRR, F2RL3, 2q37.1 and 6p21.33, were found to be differentially methylated across never, former and current smokers. For all 39 CpG sites, current smokers had the lowest methylation level. Our study provides the first replication for two previously reported CpG sites, cg06226150 (SLC2A4RG) and cg21733098 (12q24.32). From the ICE FALCON analysis with smoking status as the predictor and methylation score as the outcome, a woman's methylation score was associated with her co-twin's smoking status, and the association attenuated towards the null conditioning on her own smoking status, consistent with smoking status causing changes in methylation. To the contrary, using methylation score as the predictor and smoking status as the outcome, a woman's smoking status was not associated with her co-twin's methylation score, consistent with changes in methylation not causing smoking status. Conclusions:For middle-aged women, peripheral blood DNA methylation at several genomic locations is associated with smoking. Our study suggests that smoking has a causal effect on peripheral blood DNA methylation, but not vice versa.

Project description:BACKGROUND:It is well-known that methylation changes occur as humans age, however, understanding how age-related changes in DNA methylation vary by sex is lacking. In this study, we characterize the effect of age on DNA methylation in a sex-specific manner and determine if these effects vary by genomic context. We used the Illumina HumanMethylation 450?K array and DNA derived from whole blood for 400 adult participants (189 males and 211 females) from Bangladesh to identify age-associated CpG sites and regions and characterize the location of these age-associated sites with respect to CpG islands (vs. shore, shelf, or open sea) and gene regions (vs. intergenic). We conducted a genome-wide search for age-associated CpG sites (among 423,604 sites) using a reference-free approach to adjust for cell type composition (the R package RefFreeEWAS) and performed an independent replication analysis of age-associated CpGs. RESULTS:The number of age-associated CpGs (p <?5 x 10-?8) were 986 among men and 3479 among women of which 2027(63.8%) and 572 (64.1%) replicated (using Bonferroni adjusted p <?1.2?×?10-?5). For both sexes, age-associated CpG sites were more likely to be hyper-methylated with increasing age (compared to hypo-methylated) and were enriched in CpG islands and promoter regions compared with other locations and all CpGs on the array. Although we observed strong correlation between chronological age and previously-developed epigenetic age models (r ??0.8), among our top (based on lowest p-value) age-associated CpG sites only 12 for males and 44 for females are included in these prediction models, and the median chronological age compared to predicted age was 44 vs. 51.7 in males and 45 vs. 52.1 in females. CONCLUSIONS:Our results describe genome-wide features of age-related changes in DNA methylation. The observed associations between age and methylation were generally consistent for both sexes, although the associations tended to be stronger among women. Our population may have unique age-related methylation changes that are not captured in the established methylation-based age prediction model we used, which was developed to be non-tissue-specific.

Dataset Information

The effect of smoking on MAOA promoter methylation in DNA prepared from lymphoblasts and whole blood.

Publications

The effect of smoking on MAOA promoter methylation in DNA prepared from lymphoblasts and whole blood.

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