19
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Genome-wide association study across European and African American ancestries identifies a SNP in DNMT3B contributing to nicotine dependence

      research-article
      1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 10 , 9 , 11 , 3 , 12 , 13 , 14 , 15 , 7 , 10 , 16 , 13 , 17 , 6 , 18 , 19 , 20 , 21 , 8 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 9 , 29 , 8 , 30 , 31 , 32 , 33 , 34 , 7 , 35 , 13 , 3 , 11 , 17 , 3 , 36
      Molecular psychiatry

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Cigarette smoking is a leading cause of preventable mortality worldwide. Nicotine dependence, which reduces the likelihood of quitting smoking, is a heritable trait with firmly established associations with sequence variants in nicotine acetylcholine receptor genes and at other loci. To search for additional loci, we conducted a genome-wide association study (GWAS) meta-analysis of nicotine dependence, totaling 38,602 smokers (28,677 Europeans/European Americans and 9,925 African Americans) across 15 studies. In this largest ever GWAS meta-analysis for nicotine dependence and the largest-ever cross-ancestry GWAS meta-analysis for any smoking phenotype, we reconfirmed the well-known CHRNA5-CHRNA3-CHRNB4 genes and further yielded a novel association in the DNA methyltransferase gene DNMT3B. The intronic DNMT3B rs910083-C (frequency=44%–77%) associates with increased risk of nicotine dependence at P=3.7×10 −8 (odds ratio [OR]=1.06 and 95% confidence interval [CI]=1.04–1.07 for severe vs mild dependence). The association was independently confirmed in the UK Biobank (N=48,931) using heavy vs never smoking as a proxy phenotype (P=3.6×10 −4, OR=1.05, and 95% CI=1.02–1.08). Rs910083-C is also associated with increased risk of squamous cell lung carcinoma in the International Lung Cancer Consortium (N=60,586, meta-analysis P=0.0095, OR=1.05, and 95% CI=1.01–1.09). Moreover, rs910083-C was implicated as a cis-methylation quantitative trait locus (QTL) variant associated with higher DNMT3B methylation in fetal brain (N=166, P=2.3×10 −26) and a cis-expression QTL variant associated with higher DNMT3B expression in adult cerebellum from the Genotype-Tissue Expression project (N=103, P=3.0×10 −6) and the independent Brain eQTL Almanac (N=134, P=0.028). This novel DNMT3B cis-acting QTL variant highlights the importance of genetically influenced regulation in brain on the risks of nicotine dependence, heavy smoking, and consequent lung cancer.

          Related collections

          Most cited references50

          • Record: found
          • Abstract: found
          • Article: not found

          Dysfunction of the prefrontal cortex in addiction: neuroimaging findings and clinical implications.

          The loss of control over drug intake that occurs in addiction was initially believed to result from disruption of subcortical reward circuits. However, imaging studies in addictive behaviours have identified a key involvement of the prefrontal cortex (PFC) both through its regulation of limbic reward regions and its involvement in higher-order executive function (for example, self-control, salience attribution and awareness). This Review focuses on functional neuroimaging studies conducted in the past decade that have expanded our understanding of the involvement of the PFC in drug addiction. Disruption of the PFC in addiction underlies not only compulsive drug taking but also accounts for the disadvantageous behaviours that are associated with addiction and the erosion of free will.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Essential role for de novo DNA methyltransferase Dnmt3a in paternal and maternal imprinting.

            Imprinted genes are epigenetically marked during gametogenesis so that they are exclusively expressed from either the paternal or the maternal allele in offspring. Imprinting prevents parthenogenesis in mammals and is often disrupted in congenital malformation syndromes, tumours and cloned animals. Although de novo DNA methyltransferases of the Dnmt3 family are implicated in maternal imprinting, the lethality of Dnmt3a and Dnmt3b knockout mice has precluded further studies. We here report the disruption of Dnmt3a and Dnmt3b in germ cells, with their preservation in somatic cells, by conditional knockout technology. Offspring from Dnmt3a conditional mutant females die in utero and lack methylation and allele-specific expression at all maternally imprinted loci examined. Dnmt3a conditional mutant males show impaired spermatogenesis and lack methylation at two of three paternally imprinted loci examined in spermatogonia. By contrast, Dnmt3b conditional mutants and their offspring show no apparent phenotype. The phenotype of Dnmt3a conditional mutants is indistinguishable from that of Dnmt3L knockout mice, except for the discrepancy in methylation at one locus. These results indicate that both Dnmt3a and Dnmt3L are required for methylation of most imprinted loci in germ cells, but also suggest the involvement of other factors.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Genome-wide association scan of tag SNPs identifies a susceptibility locus for lung cancer at 15q25.1.

              To identify risk variants for lung cancer, we conducted a multistage genome-wide association study. In the discovery phase, we analyzed 315,450 tagging SNPs in 1,154 current and former (ever) smoking cases of European ancestry and 1,137 frequency-matched, ever-smoking controls from Houston, Texas. For replication, we evaluated the ten SNPs most significantly associated with lung cancer in an additional 711 cases and 632 controls from Texas and 2,013 cases and 3,062 controls from the UK. Two SNPs, rs1051730 and rs8034191, mapping to a region of strong linkage disequilibrium within 15q25.1 containing PSMA4 and the nicotinic acetylcholine receptor subunit genes CHRNA3 and CHRNA5, were significantly associated with risk in both replication sets. Combined analysis yielded odds ratios of 1.32 (P < 1 x 10(-17)) for both SNPs. Haplotype analysis was consistent with there being a single risk variant in this region. We conclude that variation in a region of 15q25.1 containing nicotinic acetylcholine receptors genes contributes to lung cancer risk.
                Bookmark

                Author and article information

                Journal
                9607835
                20545
                Mol Psychiatry
                Mol. Psychiatry
                Molecular psychiatry
                1359-4184
                1476-5578
                22 July 2017
                03 October 2017
                04 April 2018
                : 10.1038/mp.2017.193
                Affiliations
                [1 ]Behavioral and Urban Health Program, Behavioral Health and Criminal Justice Division, RTI International, Research Triangle Park, NC, USA
                [2 ]Center for Genomics in Public Health and Medicine, RTI International, Research Triangle Park, NC, USA
                [3 ]deCODE Genetics/Amgen, Reykjavik, Iceland
                [4 ]Research Computing Division, RTI International, Research Triangle Park, NC, USA
                [5 ]Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
                [6 ]Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA
                [7 ]Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
                [8 ]Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
                [9 ]Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
                [10 ]Nevada Institute of Personalized Medicine and Department of Psychology, University of Nevada, Las Vegas, NV, USA
                [11 ]Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
                [12 ]Department of Engineering and Natural Sciences, University of Iceland, Iceland
                [13 ]Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD, USA
                [14 ]Department of Psychology, West Virginia University, Morgantown, WV, USA
                [15 ]Department of Dental Practice and Rural Health, West Virginia University, Morgantown, WV, USA
                [16 ]Public Health Informatics Program, eHealth, Quality and Analytics Division, RTI International, Research Triangle Park, NC, USA
                [17 ]Department of Psychiatry, Washington University, St. Louis, MO, USA
                [18 ]Department of Neurology, Boston University School of Medicine, Boston, MA, USA
                [19 ]Department of Ophthalmology, Boston University School of Medicine, Boston, MA, USA
                [20 ]Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
                [21 ]Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
                [22 ]Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands
                [23 ]Department of Genetics, Washington University, St. Louis, MO, USA
                [24 ]Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
                [25 ]Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
                [26 ]Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
                [27 ]International Agency for Research on Cancer, World Health Organization, Lyon, France
                [28 ]Lunenfeld-Tanenbaum Research Institute, Sinai Health System, University of Toronto, Toronto, Canada
                [29 ]Center for Craniofacial and Dental Genetics, Department of Oral Biology, University of Pittsburgh, Pittsburgh, PA, USA
                [30 ]Center for Tobacco Research and Intervention, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
                [31 ]Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
                [32 ]Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
                [33 ]Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA
                [34 ]VA CT Healthcare Center, Department of Psychiatry, West Haven, CT, USA
                [35 ]Department of Public Health, Faculty of Medicine, University of Helsinki, Helsinki, Finland
                [36 ]Fellow Program and Behavioral Health and Criminal Justice Division, RTI International, Research Triangle Park, NC, USA
                Author notes
                Corresponding author: Dana B. Hancock, Ph.D., RTI International, 3040 East Cornwallis Road, P. O. Box 12194, Research Triangle Park, NC 27709, dhancock@ 123456rti.org
                Article
                NIHMS893720
                10.1038/mp.2017.193
                5882602
                28972577
                560f739a-d669-4c8d-b7f4-4962b1f6a20b

                Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms

                History
                Categories
                Article

                Molecular medicine
                Molecular medicine

                Comments

                Comment on this article