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Background: Maternal tobacco smoke exposure has been associated with altered DNA methylation. However, previous studies largely used methylation arrays, which cover a small fraction of CpGs, and focused on whole cord blood. Objectives: The current study examined the impact of in utero exposure to maternal tobacco smoke on the cord blood [CD4.sup.+] DNA methylome. Methods: The methylomes of 20 Hispanic white newborns (n = 10 exposed to any maternal tobacco smoke in pregnancy; n = 10 unexposed) from the Maternal and Child Health Study (MACHS) were profiled by whole-genome bisulfite sequencing (median coverage: 6.5 X). Statistical analyses were conducted using the Regression Analysis of Differential Methylation (RADMeth) program because it performs well on low-coverage data (minimizes false positives and negatives). Results: We found that 10,381 CpGs were differentially methylated by tobacco smoke exposure [neighbor-adjusted p-values that are additionally corrected for multiple testing based on the Benjamini-Hochberg method for controlling the false discovery rate (FDR) ([p.sub.FDR]) Conclusions: Maternal tobacco smoke exposure in pregnancy is associated with cord blood [CD4.sup.+] DNA methylation in key regulatory regions, including enhancers. While we used a method that performs well on low-coverage data, we cannot exclude the possibility that some results may be false positives. However, we identified a differentially methylated CpG in amino acid transporter SLC7A8 that is highly reproducible, which may be sensitive to cigarette smoke in both cord blood and adult [CD4.sup.+] cells. https://doi.org/10.1289/EHP3398, Introduction Maternal smoking during pregnancy is one of the most prevalent and modifiable risk factors affecting newborn health (Curtin and Matthews 2016). In the United States, >8% of women smoke [...]

Background: Cigarette smoke is a causal factor in cancers and cardiovascular disease. Smoking-associated differentially methylated regions (SMDMRs) have been observed in disease studies, but the causal link between altered DNA methylation and transcriptional change is obscure. Objective: Our objectives were to finely resolve SM-DMRs and to interrogate the mechanistic link between SM-DMRs and altered transcription of enhancer noncoding RNA (eRNA) and mRNA in human circulating monocytes. Method: We integrated SM-DMRs identified by reduced representation bisulfite sequencing (RRBS) of circulating CD14+ monocyte DNA collected from two independent human studies [n = 38 from Clinical Research Unit (CRU) and n = 55 from the Multi-Ethnic Study of Atherosclerosis (MESA), about half of whom were active smokers] with gene expression for protein-coding genes and noncoding RNAs measured by RT-PCR or RNA sequencing. Candidate SM-DMRs were compared with RRBS of purified CD4+ T cells, CD8 + T cells, CD15+ granulocytes, CD19+ B cells, and CD56+ NK cells (n = 19 females, CRU). DMRs were validated using pyrosequencing or bisulfite amplicon sequencing in up to 85 CRU volunteers, who also provided saliva DNA. Results: RRBS identified monocyte SM-DMRs frequently located in putative gene regulatory regions. The most significant monocyte DMR occurred at a poised enhancer in the aryl-hydrocarbon receptor repressor gene (AHRR) and it was also detected in both granulocytes and saliva DNA. To our knowledge, we identify for the first time that SM-DMRs in or near AHRR, C5orf55-EXOC-AS, and SASH1 were associated with increased noncoding eRNA as well as mRNA in monocytes. Functionally, the AHRR SM-DMR appeared to up-regulate AHRR mRNA through activating the AHRR enhancer, as suggested by increased eRNA in the monocytes, but not granulocytes, from smokers compared with nonsmokers. Conclusions: Our findings suggest that AHRR SM-DMR up-regulates AHRR mRNA in a monocyte-specific manner by activating the AHRR enhancer. Cell type-specific activation of enhancers at SM-DMRs may represent a mechanism driving smoking-related disease. https://doi.org/10.1289/EHP2395, Introduction Tobacco smoke exposure is associated with a variety of human diseases including cancers of the lung, head and neck, and bladder; chronic obstructive pulmonary disease; osteoporosis; and cardiovascular disease [...]

BACKGROUND: Maternal tobacco smoke exposure has been associated with altered DNA methylation. However, previous studies largely used methylation arrays, which cover a small fraction of CpGs, and focused on whole cord blood. OBJECTIVES: The current study examined the impact of in utero exposure to maternal tobacco smoke on the cord blood CD4+ DNA methylome. METHODS: The methylomes of 20 Hispanic white newborns (n=10 exposed to any maternal tobacco smoke in pregnancy; n=10 unexposed) from the Maternal and Child Health Study (MACHS) were profiled by whole-genome bisulfite sequencing (median coverage: 6:5 x). Statistical analyses were conducted using the Regression Analysis of Differential Methylation (RADMeth) program because it performs well on low-coverage data (minimizes false positives and negatives). RESULTS: We found that 10,381 CpGs were differentially methylated by tobacco smoke exposure [neighbor-adjusted p-values that are additionally corrected for multiple testing based on the Benjamini-Hochberg method for controlling the false discovery rate (FDR) (pFDR)<0:05]. From these CpGs, RADMeth identified 557 differentially methylated regions (DMRs) that were overrepresented (p<0:05) in important regulatory regions, including enhancers. Of nine DMRs that could be queried in a reduced representation bisulfite sequencing (RRBS) study of adult CD4+ cells (n=9 smokers; n=10 nonsmokers), four replicated (p<0:05). Additionally, a CpG in the promoter of SLC7A8 (percent methylation difference: -9:4% comparing exposed to unexposed) replicated (p<0:05) in an EPIC (Illumina) array study of cord blood CD4+ cells (n=14 exposed to sustained maternal tobacco smoke; n=16 unexposed) and in a study of adult CD4+ cells across two platforms (EPIC: n=9 smokers; n=11 nonsmokers; 450K: n=59 smokers; n=72 nonsmokers). CONCLUSIONS: Maternal tobacco smoke exposure in pregnancy is associated with cord blood CD4+ DNA methylation in key regulatory regions, including enhancers. While we used a method that performs well on low-coverage data, we cannot exclude the possibility that some results may be false positives. However, we identified a differentially methylated CpG in amino acid transporter SLC7A8 that is highly reproducible, which may be sensitive to cigarette smoke in both cord blood and adult CD4+ cells. [ABSTRACT FROM AUTHOR]

Background: Cigarette smoke is a causal factor in cancers and cardiovascular disease. Smoking-associated differentially methylated regions (SM-DMRs) have been observed in disease studies, but the causal link between altered DNA methylation and transcriptional change is obscure. Objective: Our objectives were to finely resolve SM-DMRs and to interrogate the mechanistic link between SM-DMRs and altered transcription of enhancer noncoding RNA (eRNA) and mRNA in human circulating monocytes. Method: We integrated SM-DMRs identified by reduced representation bisulfite sequencing (RRBS) of circulating CD14+ monocyte DNA collected from two independent human studies [n=38 from Clinical Research Unit (CRU) and n=55 from the Multi-Ethnic Study of Atherosclerosis (MESA), about half of whom were active smokers] with gene expression for protein-coding genes and noncoding RNAs measured by RT-PCR or RNA sequencing. Candidate SM-DMRs were compared with RRBS of purified CD4+ T cells, CD8+ T cells, CD15+ granulocytes, CD19+ B cells, and CD56+ NK cells (n=19 females, CRU). DMRs were validated using pyrosequencing or bisulfite amplicon sequencing in up to 85 CRU volunteers, who also provided saliva DNA. Results: RRBS identified monocyte SM-DMRs frequently located in putative gene regulatory regions. The most significant monocyte DMR occurred at a poised enhancer in the aryl-hydrocarbon receptor repressor gene (AHRR) and it was also detected in both granulocytes and saliva DNA. To our knowledge, we identify for the first time that SM-DMRs in or near AHRR, C5orf55-EXOC-AS, and SASH1 were associated with increased noncoding eRNA as well as mRNA in monocytes. Functionally, the AHRR SM-DMR appeared to up-regulate AHRR mRNA through activating the AHRR enhancer, as suggested by increased eRNA in the monocytes, but not granulocytes, from smokers compared with nonsmokers. Conclusions: Our findings suggest that AHRR SM-DMR up-regulates AHRR mRNA in a monocyte-specific manner by activating the AHRR enhancer. Cell type–specific activation of enhancers at SM-DMRs may represent a mechanism driving smoking-related disease. [ABSTRACT FROM AUTHOR]

Prior microarray studies of smokers at high risk for lung cancer have demonstrated that heterogeneity in bronchial airway epithelial cell gene expression response to smoking can serve as an early diagnostic biomarker for lung cancer. As a first step in applying functional genomic analysis to population studies, we have examined the relationship between gene expression variation and genetic variation in a central molecular pathway (NRF2-mediated antioxidant response) associated with smoking exposure and lung cancer. We assessed global gene expression in histologically normal airway epithelial cells obtained at bronchoscopy from smokers who developed lung cancer (SC, n = 20), smokers without lung cancer (SNC, n = 24), and never smokers (NS, n = 8). Functional enrichment analysis showed that the NRF2-mediated, antioxidant response element (ARE)-regulated genes, were significantly lower in SC, when compared with expression levels in SNC. Importantly, we found that the expression of MAFG (a binding partner of NRF2) was correlated with the expression of ARE genes, suggesting MAFG levels may limit target gene induction. Bioinformatically we identified single nucleotide polymorphisms (SNPs) in putative ARE genes and to test the impact of genetic variation, we genotyped these putative regulatory SNPs and other tag SNPs in selected NRF2 pathway genes. Sequencing MAFG locus, we identified 30 novel SNPs and two were associated with either gene expression or lung cancer status among smokers. This work demonstrates an analysis approach that integrates bioinformatics pathway and transcription factor binding site analysis with genotype, gene expression and disease status to identify SNPs that may be associated with individual differences in gene expression and/or cancer status in smokers. These polymorphisms might ultimately contribute to lung cancer risk via their effect on the airway gene expression response to tobacco-smoke exposure. [ABSTRACT FROM AUTHOR]

Abstract: The most common form of genetic variation, single nucleotide polymorphisms or SNPs, can affect the way an individual responds to the environment and modify disease risk. Although most of the millions of SNPs have little or no effect on gene regulation and protein activity, there are many circumstances where base changes can have deleterious effects. Non-synonymous SNPs that result in amino acid changes in proteins have been studied because of their obvious impact on protein activity. It is well known that SNPs within regulatory regions of the genome can result in disregulation of gene transcription. However, the impact of SNPs located in putative regulatory regions, or rSNPs, is harder to predict for two primary reasons. First, the mechanistic roles of non-coding genomic sequence remain poorly defined. Second, experimental validation of the functional consequences of rSNPs is often slow and laborious. In this review, we summarize traditional and novel methodologies for candidate rSNPs selection, in particular in silico techniques that aid in candidate rSNP selection. Additionally we will discuss molecular biological techniques that assess the impact of rSNPs on binding of regulatory machinery, as well as functional consequences on transcription. Standard techniques such as EMSA and luciferase reporter constructs are still widely used to assess effects of rSNPs on binding and gene transcription; however, these protocols are often bottlenecks in the discovery process. Therefore, we highlight novel and developing high-throughput protocols that promise to aid in shortening the process of rSNP validation. Given the large amount of genomic information generated from a multitude of re-sequencing and genome-wide SNP array efforts, future focus should be to develop validation techniques that will allow greater understanding of the impact these polymorphisms have on human health and disease. [Copyright &y& Elsevier]

GST and CYP2E1 genes are involved in metabolism of several compounds (e.g., solvents) that may play a role in brain cancer etiology. We evaluated associations between polymorphisms in these genes and adult brain tumor incidence. Cases were 782 patients with brain tumors diagnosed from 1994 to 1998 at three United States hospitals. Controls were 799 patients admitted to the same hospitals for nonmalignant conditions. DNA was extracted from blood samples that had been collected from 1277 subjects (80% of all subjects; 604 controls; 422 gliomas, 172 meningiomas, and 79 acoustic neuromas), and genotyping was successfully conducted for GSTM1 null, GSTT1 null, GSTP I105V, GSTP A114V, CYP2E1 RsaI, and CYP2E1 Ins96. The GSTP1 105 Val/Val genotype was associated with increased glioma incidence [odds ratio (OR), 1.8; 95% confidence limits (CLs), 1.2, 2.7], with the estimated effect following a trend of increasing magnitude by number of variant alleles (Ile/Ile: OR, 1.0; Ile/Val: OR, 1.3; Val/Val: OR, 2.1). The CYP2E1 RsaI variant was weakly associated with glioma (OR, 1.4; 95% CL, 0.9, 2.4) and acoustic neuroma (OR, 2.3; 95% CL, 1.0, 5.3), with some indication of stronger associations among younger subjects. Estimated effects of the gene variants differed by glioma subtype. There was evidence of supermultiplicativity of the joint effect of GSTP1 I105V and CYP2E1 RsaI variants on both glioma and acoustic neuroma, even following adjustment of estimates toward a common prior distribution using hierarchical regression models. Previously reported associations between the GSTT1 null genotype and overall glioma incidence were not replicated, but an association with meningioma was observed (OR, 1.5; 95% CL, 1.0, 2.3). These findings may provide clues to both genetic and environmental determinants of brain tumors.