scholarly journals Epigenome-wide meta-analysis of PTSD across 10 military and civilian cohorts identifies novel methylation loci

2019 ◽  
Author(s):  
Alicia K Smith ◽  
Andrew Ratanatharathorn ◽  
Adam X Maihofer ◽  
Robert K Naviaux ◽  
Allison E Aiello ◽  
...  

AbstractDifferences in susceptibility to posttraumatic stress disorder (PTSD) may be related to epigenetic differences between PTSD cases and trauma-exposed controls. Such epigenetic differences may provide insight into the biological processes underlying the disorder. Here we describe the results of the largest DNA methylation meta-analysis of PTSD to date with data from the Psychiatric Genomics Consortium (PGC) PTSD Epigenetics Workgroup. Ten cohorts, military and civilian, contributed blood-derived DNA methylation data (HumanMethylation450 BeadChip) from 1,896 PTSD cases (42%) and trauma-exposed controls (58%). Utilizing a common QC and analysis strategy, we identified ten CpG sites associated with PTSD (9.61E-07<p<4.72E-11) after adjustment for multiple comparisons (FDR<.05). Several CpGs were located in genes previously implicated in PTSD and other psychiatric disorders. The top four CpG sites fell within the aryl-hydrocarbon receptor repressor (AHRR) locus and were associated with lower DNA methylation in PTSD cases relative to controls. Interestingly, this association appeared to uncorrelated with smoking status and was most pronounced in non-smokers with PTSD. Additional evaluation of metabolomics data supported our findings and revealed that AHRR methylation associated with kynurenine levels, which were lower among subjects with PTSD relative to controls. Overall, this study supports epigenetic differences in those with PTSD and suggests a role for decreased kynurenine as a contributor to immune dysregulation in PTSD.

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Alicia K. Smith ◽  
◽  
Andrew Ratanatharathorn ◽  
Adam X. Maihofer ◽  
Robert K. Naviaux ◽  
...  

AbstractEpigenetic differences may help to distinguish between PTSD cases and trauma-exposed controls. Here, we describe the results of the largest DNA methylation meta-analysis of PTSD to date. Ten cohorts, military and civilian, contribute blood-derived DNA methylation data from 1,896 PTSD cases and trauma-exposed controls. Four CpG sites within the aryl-hydrocarbon receptor repressor (AHRR) associate with PTSD after adjustment for multiple comparisons, with lower DNA methylation in PTSD cases relative to controls. Although AHRR methylation is known to associate with smoking, the AHRR association with PTSD is most pronounced in non-smokers, suggesting the result was independent of smoking status. Evaluation of metabolomics data reveals that AHRR methylation associated with kynurenine levels, which are lower among subjects with PTSD. This study supports epigenetic differences in those with PTSD and suggests a role for decreased kynurenine as a contributor to immune dysregulation in PTSD.


2019 ◽  
Author(s):  
Clara Snijders ◽  
Adam X. Maihofer ◽  
Andrew Ratanatharathorn ◽  
Dewleen G. Baker ◽  
Marco P. Boks ◽  
...  

AbstractBackgroundEpigenetic mechanisms have been suggested to play a role in the development of post-traumatic stress disorder (PTSD). Here, blood-derived DNA methylation data (HumanMethylation450 BeadChip) collected prior to and following combat exposure in three cohorts composed of male military members were combined to assess whether DNA methylation profiles are associated with the development of PTSD.MethodsA total of 123 cases and 143 trauma-exposed controls were included. The Psychiatric Genomics Consortium (PGC) PTSD EWAS QC pipeline was used on all cohorts, and results were combined using a sample size weighted meta-analysis. We first combined two cohorts in a discovery stage (N=126 and 78), sought targeted replication in the third cohort (N=62) and then performed a meta-analysis of all three datasets.ResultsThe discovery stage identified four CpG sites in which, conditional on pre-deployment DNA methylation, post-deployment DNA methylation was associated with PTSD status after adjustment for multiple comparisons. The most significant CpG (p = 1.0 × 10−08) was located on 5q31 and replicated in the third cohort. When combining all cohorts, this intergenic site remained most significant along with two CpGs located in MAD1L1 and HEXDC. Interestingly, the CpG site of MAD1L1 had an underlying single nucleotide polymorphism (SNP) which was located within the same LD block as a recently identified PTSD-associated SNP. Twelve differential methylated regions (DMRs) were also identified, one of which was located in MAD1L1 and four were situated in the human leukocyte antigen (HLA) region.ConclusionThis study suggests that the development of PTSD is associated with distinct methylation patterns in several genomic positions and regions. Our most prominent finding points to the involvement of MAD1L1 which was previously associated with PTSD.


Epigenomics ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 701-713 ◽  
Author(s):  
Ali Altıntaş ◽  
Rhianna C Laker ◽  
Christian Garde ◽  
Romain Barrès ◽  
Juleen R Zierath

Aim: Innate circadian rhythms are critical for optimal tissue-specific functions, including skeletal muscle, a major insulin-sensitive tissue responsible for glucose homeostasis. We determined whether transcriptional oscillations are associated with CpG methylation changes in skeletal muscle. Materials & methods: We performed rhythmicity analysis on the transcriptome and CpG methylome of circadian synchronized myotubes. Results: We identified several transcripts and CpG-sites displaying oscillatory behavior, which were enriched with Gene Ontology terms related to metabolism and development. Oscillating CpG methylation was associated with rhythmic expression of 31 transcripts. Conclusion: Although circadian oscillations may be regulated by rhythmic DNA methylation, strong rhythmic associations between transcriptome and CpG methylation were not identified. This resource constitutes a transcriptomic/epigenomic atlas of skeletal muscle and regulation of circadian rhythms.


2019 ◽  
Vol 21 (Supplement_3) ◽  
pp. iii65-iii66
Author(s):  
M Q S Mosella ◽  
T S Sabedot ◽  
T M Malta ◽  
J Rock ◽  
M Felicella ◽  
...  

Abstract BACKGROUND Despite histologically benign, pituitary tumors (PT) may invade important adjacent neurovascular structures which can incur in significant comorbidities preventing a complete surgical resection and contributing to resistance to medical treatment. DNA methylation clearly stratified PT based on their functional status i.e. nonfunctioning PTs (NFPTs) from functioning PT (FPTs). However associations of methylation aberrations with invasive behavior is less clear. MATERIAL AND METHODS In order to evaluate whether DNA methylation alterations in regulatory regions other than promoter and coding regions are associated with invasive behavior we performed a meta-analysis of the genome-wide methylome of three public available PT cohorts plus our own (Illumina HumanMethylation platforms- 450K/EPIC). Pituitary specimens comprised of 43 invasive pituitary tumors (InvPT) and 37 noninvasive (NInvPT); 12 FPT and 68 NFPTs, in addition to 20 non-tumor pituitaries. RNA-seq data were available for one cohort (n=23, 12 InvPT,11NInvPT) and integrated with DNA methylation. Invasiveness criteria was based on Knosp grade >= 2 and/or sphenoid or dural invasion. RESULTS Wilcoxon Rank-sum test; Δβ=0.15; p-value <0.001 identified 58 differentially methylated CpG sites in InvPT that were mainly hypomethylated (95%) in relation to NInvPT. NInvPT methylation profile was similar to non-tumor specimens, despite its heterogeneity. Thirty-four percent (n=20) of the differentially methylated CpG sites were located within predicted enhancer regions distributed in intronic (40%), intergenic (40%) and promoter (20%) regions. Predicted enhancer-target genes were enriched for actin filament cell movement, response to starvation, growth factor stimulus and protein autophosporilation pathways. Among them, ZNF625 and INO80E were found mostly negative correlated among methylation and expression data (-0.50 and -0.48, respectively), besides DOC2A found to be one potentially differentially expressed gene under enhancer control (log2FC > 0.2, pvalue <0.05). CONCLUSION Our results suggest that methylation alterations in predicted regulatory regions, such as enhancers, annotated in non-promoter regions (introns and intergenic) may contribute to the invasive behavior of PT.


2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Maaike de Vries ◽  
◽  
Ivana Nedeljkovic ◽  
Diana A. van der Plaat ◽  
Alexandra Zhernakova ◽  
...  

Abstract Background Active smoking is the main risk factor for COPD. Here, epigenetic mechanisms may play a role, since cigarette smoking is associated with differential DNA methylation in whole blood. So far, it is unclear whether epigenetics also play a role in subjects with COPD who never smoked. Therefore, we aimed to identify differential DNA methylation associated with lung function in never smokers. Methods We determined epigenome-wide DNA methylation levels of 396,243 CpG-sites (Illumina 450 K) in blood of never smokers in four independent cohorts, LifeLines COPD&C (N = 903), LifeLines DEEP (N = 166), Rotterdam Study (RS)-III (N = 150) and RS-BIOS (N = 206). We meta-analyzed the cohort-specific methylation results to identify differentially methylated CpG-sites with FEV1/FVC. Expression Quantitative Trait Methylation (eQTM) analysis was performed in the Biobank-based Integrative Omics Studies (BIOS). Results A total of 36 CpG-sites were associated with FEV1/FVC in never smokers at p-value< 0.0001, but the meta-analysis did not reveal any epigenome-wide significant CpG-sites. Of interest, 35 of these 36 CpG-sites have not been associated with lung function before in studies including subjects irrespective of smoking history. Among the top hits were cg10012512, cg02885771, annotated to the gene LTV1 Ribosome Biogenesis factor (LTV1), and cg25105536, annotated to Kelch Like Family Member 32 (KLHL32). Moreover, a total of 11 eQTMS were identified. Conclusions With the identification of 35 CpG-sites that are unique for never smokers, our study shows that DNA methylation is also associated with FEV1/FVC in subjects that never smoked and therefore not merely related to smoking.


Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 3869-3869
Author(s):  
Nikos Papakonstantinou ◽  
Jana Gutwein ◽  
Ole Ammerpohl ◽  
Eva Koravou ◽  
Chrysoula Belessi ◽  
...  

Abstract Abstract 3869 In CLL, subsets of patients with stereotyped B cell receptors (BcRs) account for one-third of the cohort. Increasing evidence suggests that cases assigned to the same subset can share similar biological and clinical features independently of IGHV gene mutational status, at least for selected major subsets. Consequently, the study of BcR stereotypy has important implications for refining patient stratification with the ultimate aim of implementing targeted therapy and, eventually, improving outcome. CLL stereotyped subsets #6 (IGHV1–69/IGKV3–20) and #8 (IGHV4–39/IGKV1(D)-39) both express unmutated BCRs yet exhibit different clinical behavior. In particular, subset #6 is less aggressive compared to subset #8, which exhibits the highest risk for development of Richter's syndrome among all CLL. So far, no explanation is available for this difference, thus prompting investigation into the underlying mechanisms. Aberrant DNA methylation is increasingly recognized as relevant for CLL with strong correlations between promoter methylation and transcriptional silencing for critical genes, often depending on IGHV gene mutational status. With this in mind, we profiled the DNA methylation in CLL stereotyped subsets #6 and #8 and searched for epigenetic modifications that could be linked with their distinct clinicobiological features. DNA from CD19+ peripheral blood B cells of 10 subset #6 and 10 subset #8 cases was bisulfite-converted and analyzed with the Infinium HumanMethylation450 BeadChip array which allows interrogation of approximately 485,000 CpG sites. The methylation level of each CpG site was calculated in GenomeStudio Methylation module, while differential methylation analysis was performed using the Genomestudio software. Overall, 118 differentially methylated CpG sites (DMCpGs) were identified, of which 70 were hypomethylated while 48 were hypermethylated in subset #8 in comparison to subset #6. Hierarchical clustering of these DMCpGs enabled the discrimination of the two subsets. Seventy of the 118 DMCpGs were related to 61 genes, being preferentially located in regions of the corresponding locus associated with RNA transcripts, whereas for the remaining 48 DMCpGs no links with annotated transcripts could be identified. Of note, 14/48 of the latter DMCpGs were located in a CpG island on chromosome 14q32 and were hypermethylated in subset #8 versus subset #6, likely as a consequence of the t(14;19)(q32;q13) (BCL3/IGH) chromosomal translocation, which is frequently found in subset #8. In order to search for distinctive gene patterns among differentially methylated genes, we performed separate Gene Ontology (GO) analysis using the WebGestalt bioinformatics tool for (i) genes hypermethylated (n=19) and (ii) genes hypomethylated (n=42) in subset #8 versus subset #6. Interestingly, the most pronounced differences in methylation status concerned 10 genes in the latter category (HOXα5, PAX3, HLA-C, TP63, ZNF300, PRDM16, MGRN1, EMX2, PP1R14A, CCDC140). For genes hypermethylated in subset #8, GO analysis did not reveal any significant biological processes or molecular functions. In contrast, among genes hypomethylated in subset #8, we noted a significant overrepresentation of genes involved in developmental and metabolic biological processes, in particular, transcription factor and transcription regulator activity and DNA binding. In conclusion, we found distinct DNA methylation profiles between two CLL stereotyped subsets, both carrying unmutated BcRs yet showing different clinical behavior. The observed differential DNA methylation may be implicated in differences in gene expression programs that shape the biologic make-up and eventual clinical behavior of each subset. Disclosures: No relevant conflicts of interest to declare.


2020 ◽  
Vol 15 (6) ◽  
pp. 589-599
Author(s):  
Yongchun Zuo ◽  
Mingmin Song ◽  
Hanshuang Li ◽  
Xing Chen ◽  
Pengbo Cao ◽  
...  

Background: DNA methylation plays an important role in the reprogramming process. Understanding the underlying molecular mechanism of reprogramming is crucial for answering fundamental questions regarding the transition of cell identity. Methods: In this study, based on the genome-wide DNA methylation data from different cell lines, comparative methylation profiles were proposed to identify the epigenetic signature of cell reprogramming. Results: The density profile of CpG methylation showed that pluripotent cells are more polarized than Human Dermal Fibroblasts (HDF) cells. The heterogeneity of iPS has a greater deviation in the DNA hypermethylation pattern. The result of regional distribution showed that the differential CpG sites between pluripotent cells and HDFs tend to accumulate in the gene body and CpG shelf regions, whereas the internal differential methylation CpG sites (DMCs) of three types of pluripotent cells tend to accumulate in the TSS1500 region. Furthermore, a series of endogenous markers of cell reprogramming were identified based on the integrative analysis, including focal adhesion, pluripotency maintenance and transcription regulation. The calcium signaling pathway was detected as one of the signatures between NT cells and iPS cells. Finally, the regional bias of DNA methylation for key pluripotency factors was discussed. Our studies provide new insight into the barrier identification of cell reprogramming. Conclusion: Our studies analyzed some epigenetic markers and barriers of nuclear reprogramming, hoping to provide new insight into understanding the underlying molecular mechanism of reprogramming.


2021 ◽  
Author(s):  
Shuang Li ◽  
Cancan Qi ◽  
Patrick Deelen ◽  
Floranne Boulogne ◽  
Niek de Klein ◽  
...  

Gene co-expression networks can be used to infer functional relationships between genes, but they do not work well for all genes. We investigated whether DNA methylation can provide complementary information for such genes. We first carried out an eQTM meta-analysis of 3,574 gene expression and methylation samples from blood, brain and nasal epithelial brushed cells to identify links between methylated CpG sites and genes. This revealed 6,067 significant eQTM genes, and we observed that histone modification information is predictive of both eQTM direction and presence, enabling us to link many CpG sites to genes. We then generated a co-methylation network - MethylationNetwork - using 27,720 publicly available methylation profiles and integrated it with a public RNA-seq co-expression dataset of 31,499 samples. Here, we observed that MethylationNetwork can identify experimentally validated interacting pairs of genes that could not be identified in the RNA-seq datasets. We then developed a novel integration pipeline based on CCA and used the integrated methylation and gene networks to predict gene pairs reported in the STRING database. The integrated network showed significantly improved prediction performance compared to using a DNA co-methylation or a gene co-expression network alone. This is the first study to integrate data from two -omics layers from unmatched public samples across different tissues and diseases, and our results highlight the issues and potential of integrating public datasets from multiple molecular phenotypes. The eQTMs we identified can be used as an annotation resource for epigenome-wide association, and we believe that our integration pipeline can be used as a framework for future -omics integration analyses of public datasets. We provide supporting materials and results, including the harmonized DNA methylation data from multiple tissues and diseases in https://data.harmjanwestra.nl/comethylation/, the discovered and predicted eQTMs, the corresponding CCA components and the trained prediction models in a Zenodo repository (https://zenodo.org/record/4666994). We provide notebooks to facilitate use of the proposed pipeline in a GitHub repository (https://github.com/molgenis/methylationnetwork).


PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0259449
Author(s):  
Keane Urashima ◽  
Anastasia Miramontes ◽  
Luis A. Garcia ◽  
Dawn K. Coletta

Metabolic syndrome (MetS) is highly prevalent worldwide. In the United States, estimates show that more than 30% of the adult population has MetS. MetS consists of multiple phenotypes, including obesity, dyslipidemia, and impaired glucose tolerance. Therefore, identifying the molecular mechanisms to explain this complex disease is critical for diagnosing and treating MetS. We previously showed 70 increased genes and 20 decreased genes in whole blood in MetS participants. The present study aimed to identify blood-based DNA methylation biomarkers in non-MetS versus MetS participants. The present study analyzed whole blood DNA samples from 184 adult participants of Latino descent from the Arizona Insulin Resistance (AIR) registry. We used the National Cholesterol Education Program Adult Treatment Panel III (NCEP: ATP III) criteria to identify non-MetS (n = 110) and MetS (n = 74) participants. We performed whole blood methylation analysis on select genes: ATP Synthase, H+ Transporting mitochondrial F1 Complex, Epsilon Subunit (ATP5E), Cytochrome C Oxidase Subunit VIc (COX6C), and Ribosomal Protein L9 (RPL9). The pyrosequencing analysis was a targeted approach focusing on the promoter region of each gene that specifically captured CpG methylation sites. In MetS participants, we showed decreased methylation in two CpG sites in COX6C and three CpG sites in RPL9, all p < 0.05 using the Mann-Whitney U test. There were no ATP5E CpG sites differently methylated in the MetS participants. Furthermore, while adjusting for age, gender, and smoking status, logistic regression analysis reaffirmed the associations between MetS and mean methylation within COX6C and RPL9 (both p < 0.05). In addition, Spearman’s correlation revealed a significant inverse relationship between the previously published gene expression data and methylation data for RPL9 (p < 0.05). In summary, these results highlight potential blood DNA methylation biomarkers for the MetS phenotype. However, future validation studies are warranted to strengthen our findings.


2019 ◽  
Vol 55 (2) ◽  
pp. 1901280 ◽  
Author(s):  
Cornelis J. Vermeulen ◽  
Cheng-Jian Xu ◽  
Judith M. Vonk ◽  
Nick H.T. ten Hacken ◽  
Wim Timens ◽  
...  

Approximately 40% of asthmatics experience remission of asthma symptoms. A better understanding of biological pathways leading to asthma remission may provide insight into new therapeutic targets for asthma. As an important mechanism of gene regulation, investigation of DNA methylation provides a promising approach. Our objective was to identify differences in epigenome wide DNA methylation levels in bronchial biopsies between subjects with asthma remission and subjects with persistent asthma or healthy controls.We analysed differential DNA methylation in bronchial biopsies from 26 subjects with persistent asthma, 39 remission subjects and 70 healthy controls, using the limma package. The comb-p tool was used to identify differentially methylated regions. DNA methylation of CpG-sites was associated to expression of nearby genes from the same biopsies to understand function.Four CpG-sites and 42 regions were differentially methylated between persistent asthma and remission. DNA methylation at two sites was correlated incis with gene expression at ACKR2 and DGKQ. Between remission subjects and healthy controls 1163 CpG-sites and 328 regions were differentially methylated. DNA methylation was associated with expression of a set of genes expressed in ciliated epithelium.CpGs differentially methylated between remission and persistent asthma identify genetic loci associated with resolution of inflammation and airway responsiveness. Despite the absence of symptoms, remission subjects have a DNA methylation profile that is distinct from that of healthy controls, partly due to changes in cellular composition, with a higher gene expression signal related to ciliated epithelium in remission versus healthy controls.


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