Genetic-epigenetic Interaction Research Articles

Imputation of 3D genome structure by genetic-epigenetic interaction modeling in mice.

Gene expression is known to be affected by interactions between local genetic variation and DNA accessibility, with the latter organized into three-dimensional chromatin structures. Analyses of these interactions have previously been limited, obscuring their regulatory context, and the extent to which they occur throughout the genome. Here, we undertake a genome-scale analysis of these interactions in a genetically diverse population to systematically identify global genetic-epigenetic interaction, and reveal constraints imposed by chromatin structure. We establish the extent and structure of genotype-by-epigenotype interaction using embryonic stem cells derived from Diversity Outbred mice. This mouse population segregates millions of variants from eight inbred founders, enabling precision genetic mapping with extensive genotypic and phenotypic diversity. With 176 samples profiled for genotype, gene expression, and open chromatin, we used regression modeling to infer genetic-epigenetic interactions on a genome-wide scale. Our results demonstrate that statistical interactions between genetic variants and chromatin accessibility are common throughout the genome. We found that these interactions occur within the local area of the affected gene, and that this locality corresponds to topologically associated domains (TADs). The likelihood of interaction was most strongly defined by the three-dimensional (3D) domain structure rather than linear DNA sequence. We show that stable 3D genome structure is an effective tool to guide searches for regulatory elements and, conversely, that regulatory elements in genetically diverse populations provide a means to infer 3D genome structure. We confirmed this finding with CTCF ChIP-seq that revealed strain-specific binding in the inbred founder mice. In stem cells, open chromatin participating in the most significant regression models demonstrated an enrichment for developmental genes and the TAD-forming CTCF-binding complex, providing an opportunity for statistical inference of shifting TAD boundaries operating during early development. These findings provide evidence that genetic and epigenetic factors operate within the context of 3D chromatin structure.

Prediction of treatment response to antipsychotic drugs for precision medicine approach to schizophrenia: randomized trials and multiomics analysis

BackgroundChoosing the appropriate antipsychotic drug (APD) treatment for patients with schizophrenia (SCZ) can be challenging, as the treatment response to APD is highly variable and difficult to predict due to the lack of effective biomarkers. Previous studies have indicated the association between treatment response and genetic and epigenetic factors, but no effective biomarkers have been identified. Hence, further research is imperative to enhance precision medicine in SCZ treatment.MethodsParticipants with SCZ were recruited from two randomized trials. The discovery cohort was recruited from the CAPOC trial (n = 2307) involved 6 weeks of treatment and equally randomized the participants to the Olanzapine, Risperidone, Quetiapine, Aripiprazole, Ziprasidone, and Haloperidol/Perphenazine (subsequently equally assigned to one or the other) groups. The external validation cohort was recruited from the CAPEC trial (n = 1379), which involved 8 weeks of treatment and equally randomized the participants to the Olanzapine, Risperidone, and Aripiprazole groups. Additionally, healthy controls (n = 275) from the local community were utilized as a genetic/epigenetic reference. The genetic and epigenetic (DNA methylation) risks of SCZ were assessed using the polygenic risk score (PRS) and polymethylation score, respectively. The study also examined the genetic-epigenetic interactions with treatment response through differential methylation analysis, methylation quantitative trait loci, colocalization, and promoter-anchored chromatin interaction. Machine learning was used to develop a prediction model for treatment response, which was evaluated for accuracy and clinical benefit using the area under curve (AUC) for classification, R2 for regression, and decision curve analysis.ResultsSix risk genes for SCZ (LINC01795, DDHD2, SBNO1, KCNG2, SEMA7A, and RUFY1) involved in cortical morphology were identified as having a genetic-epigenetic interaction associated with treatment response. The developed and externally validated prediction model, which incorporated clinical information, PRS, genetic risk score (GRS), and proxy methylation level (proxyDNAm), demonstrated positive benefits for a wide range of patients receiving different APDs, regardless of sex [discovery cohort: AUC = 0.874 (95% CI 0.867–0.881), R2 = 0.478; external validation cohort: AUC = 0.851 (95% CI 0.841–0.861), R2 = 0.507].ConclusionsThis study presents a promising precision medicine approach to evaluate treatment response, which has the potential to aid clinicians in making informed decisions about APD treatment for patients with SCZ.Trial registration Chinese Clinical Trial Registry (https://www.chictr.org.cn/), 18. Aug 2009 retrospectively registered: CAPOC—ChiCTR-RNC-09000521 (https://www.chictr.org.cn/showproj.aspx?proj=9014), CAPEC—ChiCTR-RNC-09000522 (https://www.chictr.org.cn/showproj.aspx?proj=9013).

Sex Differences in Opioid Response Linked to OPRM1 and COMT genes DNA Methylation/Genotypes Changes in Patients with Chronic Pain.

Analgesic-response variability in chronic noncancer pain (CNCP) has been reported due to several biological and environmental factors. This study was undertaken to explore sex differences linked to OPRM1 and COMT DNA methylation changes and genetic variants in analgesic response. A retrospective study with 250 real-world CNCP outpatients was performed in which data from demographic, clinical, and pharmacological variables were collected. DNA methylation levels (CpG island) were evaluated by pyrosequencing, and their interaction with the OPRM1 (A118G) and COMT (G472A) gene polymorphisms was studied. A priori-planned statistical analyses were conducted to compare responses between females and males. Sex-differential OPRM1 DNA methylation was observed to be linked to lower opioid use disorder (OUD) cases for females (p = 0.006). Patients with lower OPRM1 DNA methylation and the presence of the mutant G-allele reduced opioid dose requirements (p = 0.001), equal for both sexes. Moreover, COMT DNA methylation levels were negatively related to pain relief (p = 0.020), quality of life (p = 0.046), and some adverse events (probability > 90%) such as constipation, insomnia, or nervousness. Females were, significantly, 5 years older with high anxiety levels and a different side-effects distribution than males. The analyses demonstrated significant differences between females and males related to OPRM1 signalling efficiency and OUD, with a genetic-epigenetic interaction in opioid requirements. These findings support the importance of sex as a biological variable to be factored into chronic pain-management studies.

Associations of MTHFR Polymorphisms and Cytosine Modifications with Early-Gestational Diabetes Mellitus in Chinese Pregnant Women.

Early-Gestational Diabetes Mellitus (Early-GDM) is a complex condition that may cause complications in infants of affected mothers. The aim of this case-control study was to analyze the effects of genetic-epigenetic interaction on Early-GDM and fetal development with respect to cytosine modifications (i.e., 5mC, 5-methylcytosines; and 5hmC, 5-hydroxymethylcytosines) and single nucleotide polymorphisms (SNPs) of MTHFR, a key gene involving cytosine modifications. Peripheral blood samples were collected from 92 women in their first or second trimester of pregnancy (Early-GDM, n = 14; Controls, n = 78). Global DNA 5mC and 5hmC were quantified by HPLC-MS/MS, and MTHFR SNPs (rs1801133 C > T and rs1801131 A > C) were determined by TaqMan-qPCR. Association analysis suggested that MTHFR rs1801133 TT genotype was a risk factor of Early-GDM (OR [odds ratio] = 4.00; 95% CI [confidence interval]: 1.24, 12.86; p = 0.02). The C allele of rs1801131 appeared to be a protective factor for the 2-h OGTT (oral glucose tolerance test) (OR = -0.79; 95% CI: -1.48, -0.10; p = 0.03). Patients with Early-GDM had higher global 5mC and lower global 5hmC. The reduction of global 5hmC and the TT genotype of rs1801133 were associated with higher level of the 1st-FBG (fasting blood glucose in the first trimester) (p < 0.05). Additionally, global 5mC showed a positive correlation with birth weight, body length and head circumference of newborns, while global 5hmC showed a negative correlation with birth weight. The current study implicated MTHFR SNPs and cytosine modifications in the development of Early-GDM and potential complications in their newborns.

Coaggregation of Asthma and Type 1 Diabetes in Children: A Narrative Review

Asthma and type 1 diabetes mellitus (T1DM) are two of the most frequent chronic diseases in children, representing a model of the atopic and autoimmune diseases respectively. These two groups of disorders are mediated by different immunological pathways, T helper (Th)1 for diabetes and Th2 for asthma. For many years, these two groups were thought to be mutually exclusive according to the Th1/Th2 paradigm. In children, the incidence of both diseases is steadily increasing worldwide. In this narrative review, we report the evidence of the potential link between asthma and T1DM in childhood. We discuss which molecular mechanisms could be involved in the link between asthma and T1DM, such as genetic predisposition, cytokine patterns, and environmental influences. Cytokine profile of children with asthma and T1DM shows an activation of both Th1 and Th2 pathways, suggesting a complex genetic-epigenetic interaction. In conclusion, in children, the potential link between asthma and T1DM needs further investigation to improve the diagnostic and therapeutic approach to these patients. The aim of this review is to invite the pediatricians to consider the potential copresence of these two disorders in clinical practice.

Genetic and Epigenetic Interactions in the Etiopathogenesis of Osteoarthritis. Selected Molecular Factors in OA Etiopathogenesis.

Osteoarthritis (OA) is a widespread disease characterized by a multifaceted etiopathogenesis and complicated pathophysiology. OA is connected with systematic degeneration of subchondral bone tissue, articular cartilage, synovial membrane and stenosis of the joint space, which substantially contributes to premature reduction of functional mobility. The results of many epidemiological studies carried out in various populations around the world including genome-wide association studies and analysis of epigenetic modifications (such as miRNA expression, DNA methylation and histone modifications) have indicated a multifaceted nature of the disease. The aim of this paper is to present the state of the art for gene-expression level changes of relevance for the pathogenesis of osteoarthritis, including the contribution of epigenetic regulations.The source of search data for this paper was the PubMed database. The following keywords were used as search terms: osteoarthritis, GWAS, epigenetics and miRNA.The reports presented in this paper provide a starting point for further considerations regarding the development of personalized biological therapy. Several hypothetical strategies for the targeted OA treatment development exist nowadays. However, it is important to emphasize that in-depth understanding of the genetic-epigenetic interaction in OA pathogenesis is crucial. Based on the analysis of the aforementioned available study results, the following conclusions can be made: Both environmental factors and genetic-epigenetic interactions contribute to the complex pathogenesis of OA; OA risk genes have been identified; Differences in gene expression in OA may be helpful in assessing progression of the disease; The epigenetic goals of OA therapy have been indicated.

Impaired Regulation of ALDH2 Protein Expression Revealing a Yet Unknown Epigenetic Impact of rs886205 on Specific Methylation of a Negative Regulatory Promoter Region in Alcohol-Dependent Patients

Acetaldehyde, the carcinogenic metabolite of ethanol known to provoke aversive symptoms of alcohol consumption, is predominantly eliminated by aldehyde dehydrogenase 2 (ALDH2). Reduced ALDH2 activity correlates with low alcohol tolerance and low risk for alcohol dependence. The ALDH2 promoter polymorphism rs886205 (A>G) is associated with decreased promoter activity, but a molecular mechanism and allele-dependent ALDH2 protein expression has not been described yet. On the basis of allele-dependent epigenetic effects, we analyzed the rs886205 genotype, methylation rates of cytosine-phosphatidyl-guanine (CpG)-sites within a regulatory promoter region and ALDH2 protein levels in 82 alcohol-dependent patients during a 2-week withdrawal and compared them to 34 matched controls. Patients without the G-allele of rs886205 showed higher methylation of the promoter region than controls and readily adapted epigenetically as well as on protein level during withdrawal, while patients with the G-allele displayed retarded methylation readjustment and no change in ALDH2 protein levels. Our data provide novel insights into an unknown genetic-epigenetic interaction, revealing impaired ALDH2 protein expression in patients with the G-allele of rs886205. Additionally, we checked for an association between rs886205 and protection against alcohol dependence and found a trend association between the G-allele and protection against alcohol dependence that needs replication in a larger Caucasian cohort.

Epigenetics and Systemic Lupus Erythematosus: Unmet Needs.

Systemic lupus erythematosus (SLE) is a chronic relapsing-remitting autoimmune disease affecting several organs. Although the management of lupus patients has improved in the last years, several aspects still remain challenging. More sensitive and specific biomarkers for an early diagnosis as well as for monitoring disease activity and tissue damage are needed. Genome-wide association and gene mapping studies have supported the genetic background for SLE susceptibility. However, the relatively modest risk association and the studies in twins have suggested a role for environmental and epigenetic factors, as well as genetic-epigenetic interaction. Accordingly, there is evidence that differences in DNA methylation, histone modifications, and miRNA profiling can be found in lupus patients versus normal subjects. Moreover, impaired DNA methylation on the inactive X-chromosome was suggested to explain, at least in part, the female prevalence of the disease. Epigenetic markers may be help in fulfilling the unmet needs for SLE by offering new diagnostic tools, new biomarkers for monitoring disease activity, or to better characterize patients with a silent clinical disease but with an active serology. Anti-DNA, anti-phospholipid, and anti-Ro/SSA autoantibodies are thought to be pathogenic for glomerulonephritis, recurrent thrombosis and miscarriages, and neonatal lupus, respectively. However, tissue damage occurs occasionally or, in some patients, only in spite of the persistent presence of the antibodies. Preliminary studies suggest that epigenetic mechanisms may explain why the damage takes place in some patients only or at a given time.

Abstract 287: Characterizing the genetic basis of methylome diversity in histologically normal human lung tissue

Abstract The genetic regulation of the human epigenome is not fully appreciated. Here we describe the effects of genetic variants on the DNA methylome in human lung based on methylation-quantitative trait loci (meQTL) analyses. We report 34,304 cis- and 585 trans-meQTLs, a genetic-epigenetic interaction of surprising magnitude, including a regulatory hotspot. These findings are replicated in both breast and kidney tissues and show distinct patterns: cis-meQTLs mostly localize to CpG sites outside of genes, promoters, and CpG islands (CGIs) while trans-meQTLs are over-represented in promoter CGIs. meQTL SNPs are enriched in CTCF binding sites, DNaseI hypersensitivity regions and histone marks. Importantly, 4 of the 5 established lung cancer risk loci in European ancestry are cis-meQTLs and, in aggregate, cis-meQTLs are enriched for lung cancer risk in a genome-wide analysis of 11,587 subjects. Thus, inherited genetic variation may affect lung carcinogenesis by regulating the human methylome. Citation Format: Jianxin Shi, Crystal Marconett, Jubao Duan, Paula Hyland, Peng Li, Zhaoming Wang, William Wheeler, Mihaela Campan, Jing Huang, Weiyin Zhou, Tim Triche, Laufey Amundadottir, Amy Hutchinson, Po-Han Chen, Beiyun Zhou, Brian Chung, Pier Alberto Bertazzi, Andrew W. Bergen, Mathew Freedman, Diane Lee, Kim Siegmund, Andrew Clay Warner, Ben Berman, Angela C. Pesatori, Zea Borok, Dario Consonni, Nilanjan Chatterjee, Margaret Tucker, Neil Caporaso, Stephen J. Chanock, Ite A. Laird-Offringa, Maria Teresa Landi. Characterizing the genetic basis of methylome diversity in histologically normal human lung tissue. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 287. doi:10.1158/1538-7445.AM2014-287

EPA-0232 - Epigenetic alteration in ALDH2-metabolism in alcohol-dependent patients

Introduction Changes in DNA-methylation patterns in alcohol-dependent patients have been described in various studies. However, epigenetic regulation of genes responsible for the ethanol metabolism has not been in the focus of recent research. Objective Aim of our study was to evaluate changes in DNA-methylation of the aldehyde dehydrogenase 2 (ALDH2) in respect to genetic variants (rs886205 ALDH2-SNP) in blood samples of alcohol-dependent patients compared with healthy controls. Methods During an inpatients detoxification treatment we draw blood samples from 82 alcohol-dependent, male patients on day 1, day 7 and day 14. Bisulfite-treated DNA was subjected to methylation analysis via sequencing. Findings of the alcohol-dependent group were compared with results of a healthy control group (N=34) Results Our results show decreasing methylation levels of a repressive ALDH2 promoter fragment to control levels only in homozygous A-allele patients of the rs886205 SNP. Conclusion Findings of this study reveal a specific genetic-epigenetic interaction in ALDH2 regulation which may have crucial importance for the understanding of epigenetic regulation of ethanol metabolism in humans

µ-Opioid Receptor Gene Variant OPRM1 118 A&gt;G: A Summary of its Molecular and Clinical Consequences for Pain

The human µ-opioid receptor variant 118 A>G (rs1799971) has become one of the most analyzed genetic variants in the pain field. At the molecular level, the variant reduces opioid receptor signaling efficiency and expression, the latter probably via a genetic-epigenetic interaction. In experimental settings, the variant was reproducibly associated with decreased effects of exogenous opioids. However, this translates into very small clinical effects (meta-analysis of 14 studies: Cohen's d = 0.096; p = 0.008), consisting of slightly higher opioid dosing requirements in peri- and post-operative settings. An effect can neither be maintained for chronic analgesic therapy nor for opioid side effects. It seems unlikely that further studies will reveal larger effect sizes and, therefore, further analyses appear unwarranted. Thus, due to its small effect size, the SNP is without major clinical relevance as a solitary variant, but should be regarded as a part of complex genotypes underlying pain and analgesia.

Functional characterization of the MECP2/IRAK1 lupus risk haplotype in human T cells and a human MECP2 transgenic mouse (P3319)

Abstract Genetic polymorphism in MECP2/IRAK1 is a confirmed susceptibility locus for lupus. DNA methylation changes in T cells play a central role in the pathogenesis of lupus, and MeCp-2 is a master regulator of gene expression and is known to recruit DNA methyltransferase 1 (DNMT1) during DNA synthesis. Using human T cells from normal individuals, we demonstrate that the lupus risk variant in MECP2/IRAK1 increases MECP2 mRNA expression in stimulated T cells. By assessing DNA methylation levels at ~ 485,000 methylation sites across the genome, we further show that the lupus risk variant in this locus is associated with significant DNA methylation changes, including in the HLA-DR and HLA-DQ loci, as well as interferon-related genes such as IFI6, IRF6, and BST2. Further, using a human MECP2 transgenic mouse, we show that overexpression of MECP2 alters gene expression in stimulated T cells. This includes overexpression of Eif2c2 that regulates the expression of multiple microRNAs (such as miR-21), and the histone demethylase Jhdm1d. We also show that MECP2 transgenic mice develop antinuclear antibodies. Our data suggest that the lupus associated variant in the MECP2/IRAK1 locus has the potential to affect all 3 epigenetic mechanisms. Importantly, we demonstrate that variants within the MECP2 gene can alter DNA methylation in other genetic loci including the HLA and interferon-regulated genes, thereby providing evidence for genetic-epigenetic interaction in lupus.

Genetic-epigenetic interaction in lupus

Systemic lupus erythematosus is a genetically complex autoimmune disease. A large body of evidence suggests an important role for epigenetic variation, particularly DNA methylation changes, in the pathogenesis of lupus. We recently performed a comprehensive evaluation of the DNA methylome in lupus T cells and identified a number of differentially methylated loci that can contribute to the pathogenesis of the disease. By analyzing the interaction between genetic risk, T-cell DNA demethylation, and the SLEDAI scores, we demonstrated that the (genetic risk)/(T-cell DNA methylation) ratio increased directly with disease activity in lupus patients. Furthermore, men with lupus require a higher genetic risk and/or lower T-cell DNA methylation levels to achieve a lupus flare of equal severity to women, suggesting genetic-epigenetic interaction in explaining the sex bias in lupus. We have also established the genetic region containing methyl-CpG-binding protein 2 (MECP2) as a lupus susceptibility locus. MeCp-2 is a key transcription factor critically involved in regulating the expression of methylation-sensitive genes, and directly recruits DNA methyltransferase 1 (DNMT1). Indeed, recent data from our group demonstrate that the lupus-associated variants in MECP2 induce DNA methylation changes in key inflammatory genes. Our data suggest that efforts to study genetic-epigenetic interactions in lupus will further our understanding of the disease pathogenesis and might help to explain, at least in part, the missing heritability in lupus.

Genetic–epigenetic interaction modulates µ-opioid receptor regulation

Genetic and epigenetic mechanisms play important roles in protein expression, although at different levels. Genetic variations can alter CpG sites and thus influence the epigenetic regulation of mRNA expression, providing an increasingly recognized mechanism of functional consequences of genetic polymorphisms. One of those genetic effects is the association of reduced μ-opioid receptor expression with the functional genetic variant N40D (OPRM1 118A>G, rs1799971) that causes an amino acid exchange in the extracellular terminal of the μ-opioid receptor. We report that the nucleotide exchange at gene position +118 introduces a new CpG-methylation site into the OPRM1 DNA at position +117. This leads to an enhanced methylation of the OPRM1 DNA at this site and downstream. This epigenetic mechanism impedes μ-opioid receptor upregulation in brain tissue of Caucasian chronic opiate addicts, assessed postmortem. While in wild-type subjects, a reduced signalling efficiency associated with chronic heroin exposure was compensated by an increased receptor density, this upregulation was absent in carriers of the 118G receptor variant due to a diminished OPRM1 mRNA transcription. Thus, the OPRM1 118A>G SNP variant not only reduces µ-opioid receptor signalling efficiency, but, by a genetic-epigenetic interaction, reduces opioid receptor expression and therefore, depletes the opioid system of a compensatory reaction to chronic exposure. This demonstrates that a change in the genotype can cause a change in the epigenotype with major functional consequences.

Sex-specific differences in the relationship between genetic susceptibility, T cell DNA demethylation and lupus flare severity

Lupus is less common in men than women, and the reason is incompletely understood. Current evidence indicates that lupus flares when genetically predisposed individuals encounter environmental agents that trigger the disease, and that the environmental contribution is mediated at least in part by T cell DNA demethylation. We hypothesized that lupus disease activity is directly related to total genetic risk and inversely related to T cell DNA methylation levels in each patient. Since women are predisposed to lupus in part because of their second X chromosome, we also hypothesized that men would require a greater genetic risk, a greater degree of autosomal T cell DNA demethylation, or both, to achieve a lupus flare equal in severity to women. Genetic risk was determined by genotyping men and women with lupus across 32 confirmed lupus susceptibility loci. The methylation status of two autosomal genes known to demethylate in T cells in proportion to disease activity, KIR2DL4 (KIR) and PRF1, was measured by bisulfite sequencing. Lupus disease activity was determined by the SLEDAI. Interactions between genetic score, T cell DNA demethylation, and the SLEDAI score were compared between the men and women by regression analysis. Combining the degree of DNA demethylation with the genetic risk score for each patient demonstrated that the (genetic risk)/(DNA methylation) ratio increased directly with disease activity in both men and women with lupus. Importantly, men required a greater (genetic risk)/(DNA methylation) ratio to achieve a SLEDAI score equivalent to women (P = 0.010 for KIR and P = 0.0054 for PRF1). This difference was not explained by a difference in the genetic risk or T cell DNA demethylation alone, suggesting a genetic-epigenetic interaction. These results suggest that genetic risk and T cell DNA demethylation interact in lupus patients to influence the severity of lupus flares, and that men require a higher genetic risk and/or greater degree of T cell DNA demethylation to achieve a lupus flare equal in severity to women.