Literature DB >> 32731254

Genome-wide DNA methylation differences in nucleus accumbens of smokers vs. nonsmokers.

Andrew E Jaffe1,2,3,4, Dana B Hancock5, Christina A Markunas6, Stephen A Semick1, Bryan C Quach6, Ran Tao1, Amy Deep-Soboslay1, Megan U Carnes6, Laura J Bierut7, Thomas M Hyde1,2,8, Joel E Kleinman1,2, Eric O Johnson6,9.   

Abstract

Numerous DNA methylation (DNAm) biomarkers of cigarette smoking have been identified in peripheral blood studies, but because of tissue specificity, blood-based studies may not detect brain-specific smoking-related DNAm differences that may provide greater insight as neurobiological indicators of smoking and its exposure effects. We report the first epigenome-wide association study (EWAS) of smoking in human postmortem brain, focusing on nucleus accumbens (NAc) as a key brain region in developing and reinforcing addiction. Illumina HumanMethylation EPIC array data from 221 decedents (120 European American [23% current smokers], 101 African American [26% current smokers]) were analyzed. DNAm by smoking (current vs. nonsmoking) was tested within each ancestry group using robust linear regression models adjusted for age, sex, cell-type proportion, DNAm-derived negative control principal components (PCs), and genotype-derived PCs. The resulting ancestry-specific results were combined via meta-analysis. We extended our NAc findings, using published smoking EWAS results in blood, to identify DNAm smoking effects that are unique (tissue-specific) vs. shared between tissues (tissue-shared). We identified seven CpGs (false discovery rate < 0.05), of which three CpGs are located near genes previously indicated with blood-based smoking DNAm biomarkers: ZIC1, ZCCHC24, and PRKDC. The other four CpGs are novel for smoking-related DNAm changes: ABLIM3, APCDD1L, MTMR6, and CTCF. None of the seven smoking-related CpGs in NAc are driven by genetic variants that share association signals with predisposing genetic risk variants for smoking, suggesting that the DNAm changes reflect consequences of smoking. Our results provide the first evidence for smoking-related DNAm changes in human NAc, highlighting CpGs that were undetected as peripheral biomarkers and may reflect brain-specific responses to smoking exposure.

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Year:  2020        PMID: 32731254      PMCID: PMC8027202          DOI: 10.1038/s41386-020-0782-0

Source DB:  PubMed          Journal:  Neuropsychopharmacology        ISSN: 0893-133X            Impact factor:   7.853


  38 in total

Review 1.  A meta-analysis of estimated genetic and environmental effects on smoking behavior in male and female adult twins.

Authors:  Ming D Li; Rong Cheng; Jennie Z Ma; Gary E Swan
Journal:  Addiction       Date:  2003-01       Impact factor: 6.526

2.  Uncovering hidden variance: pair-wise SNP analysis accounts for additional variance in nicotine dependence.

Authors:  Robert C Culverhouse; Nancy L Saccone; Jerry A Stitzel; Jen C Wang; Joseph H Steinbach; Alison M Goate; Tae-Hwi Schwantes-An; Richard A Grucza; Victoria L Stevens; Laura J Bierut
Journal:  Hum Genet       Date:  2010-11-16       Impact factor: 4.132

Review 3.  Is there a common molecular pathway for addiction?

Authors:  Eric J Nestler
Journal:  Nat Neurosci       Date:  2005-11       Impact factor: 24.884

4.  Heritability of smoking initiation and nicotine dependence.

Authors:  Jacqueline M Vink; Gonneke Willemsen; Dorret I Boomsma
Journal:  Behav Genet       Date:  2005-07       Impact factor: 2.805

Review 5.  Neural mechanisms of addiction: the role of reward-related learning and memory.

Authors:  Steven E Hyman; Robert C Malenka; Eric J Nestler
Journal:  Annu Rev Neurosci       Date:  2006       Impact factor: 12.449

Review 6.  Regulation of firing of dopaminergic neurons and control of goal-directed behaviors.

Authors:  Anthony A Grace; Stan B Floresco; Yukiori Goto; Daniel J Lodge
Journal:  Trends Neurosci       Date:  2007-04-02       Impact factor: 13.837

Review 7.  Human Genetics of Addiction: New Insights and Future Directions.

Authors:  Dana B Hancock; Christina A Markunas; Laura J Bierut; Eric O Johnson
Journal:  Curr Psychiatry Rep       Date:  2018-03-05       Impact factor: 5.285

Review 8.  Neurocircuitry of addiction.

Authors:  George F Koob; Nora D Volkow
Journal:  Neuropsychopharmacology       Date:  2010-01       Impact factor: 7.853

9.  Tobacco Product Use Among Adults - United States, 2017.

Authors:  Teresa W Wang; Kat Asman; Andrea S Gentzke; Karen A Cullen; Enver Holder-Hayes; Carolyn Reyes-Guzman; Ahmed Jamal; Linda Neff; Brian A King
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2018-11-09       Impact factor: 17.586

10.  Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use.

Authors:  Mengzhen Liu; Yu Jiang; Robbee Wedow; Yue Li; David M Brazel; Fang Chen; Gargi Datta; Jose Davila-Velderrain; Daniel McGuire; Chao Tian; Xiaowei Zhan; Hélène Choquet; Anna R Docherty; Jessica D Faul; Johanna R Foerster; Lars G Fritsche; Maiken Elvestad Gabrielsen; Scott D Gordon; Jeffrey Haessler; Jouke-Jan Hottenga; Hongyan Huang; Seon-Kyeong Jang; Philip R Jansen; Yueh Ling; Reedik Mägi; Nana Matoba; George McMahon; Antonella Mulas; Valeria Orrù; Teemu Palviainen; Anita Pandit; Gunnar W Reginsson; Anne Heidi Skogholt; Jennifer A Smith; Amy E Taylor; Constance Turman; Gonneke Willemsen; Hannah Young; Kendra A Young; Gregory J M Zajac; Wei Zhao; Wei Zhou; Gyda Bjornsdottir; Jason D Boardman; Michael Boehnke; Dorret I Boomsma; Chu Chen; Francesco Cucca; Gareth E Davies; Charles B Eaton; Marissa A Ehringer; Tõnu Esko; Edoardo Fiorillo; Nathan A Gillespie; Daniel F Gudbjartsson; Toomas Haller; Kathleen Mullan Harris; Andrew C Heath; John K Hewitt; Ian B Hickie; John E Hokanson; Christian J Hopfer; David J Hunter; William G Iacono; Eric O Johnson; Yoichiro Kamatani; Sharon L R Kardia; Matthew C Keller; Manolis Kellis; Charles Kooperberg; Peter Kraft; Kenneth S Krauter; Markku Laakso; Penelope A Lind; Anu Loukola; Sharon M Lutz; Pamela A F Madden; Nicholas G Martin; Matt McGue; Matthew B McQueen; Sarah E Medland; Andres Metspalu; Karen L Mohlke; Jonas B Nielsen; Yukinori Okada; Ulrike Peters; Tinca J C Polderman; Danielle Posthuma; Alexander P Reiner; John P Rice; Eric Rimm; Richard J Rose; Valgerdur Runarsdottir; Michael C Stallings; Alena Stančáková; Hreinn Stefansson; Khanh K Thai; Hilary A Tindle; Thorarinn Tyrfingsson; Tamara L Wall; David R Weir; Constance Weisner; John B Whitfield; Bendik Slagsvold Winsvold; Jie Yin; Luisa Zuccolo; Laura J Bierut; Kristian Hveem; James J Lee; Marcus R Munafò; Nancy L Saccone; Cristen J Willer; Marilyn C Cornelis; Sean P David; David A Hinds; Eric Jorgenson; Jaakko Kaprio; Jerry A Stitzel; Kari Stefansson; Thorgeir E Thorgeirsson; Gonçalo Abecasis; Dajiang J Liu; Scott Vrieze
Journal:  Nat Genet       Date:  2019-01-14       Impact factor: 38.330

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  8 in total

1.  Deep learning predicts DNA methylation regulatory variants in the human brain and elucidates the genetics of psychiatric disorders.

Authors:  Jiyun Zhou; Qiang Chen; Patricia R Braun; Kira A Perzel Mandell; Andrew E Jaffe; Hao Yang Tan; Thomas M Hyde; Joel E Kleinman; James B Potash; Gen Shinozaki; Daniel R Weinberger; Shizhong Han
Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-15       Impact factor: 12.779

2.  Mitochondrial DNA methylation profiling of the human prefrontal cortex and nucleus accumbens: correlations with aging and drug use.

Authors:  Chia-Hung Huang; Man-Chen Chang; Yung-Chun Lai; Chun-Yen Lin; Cho-Hsien Hsu; Bo-Yuan Tseng; Chuhsing Kate Hsiao; Tzu-Pin Lu; Sung-Liang Yu; Sung-Tsang Hsieh; Wei J Chen
Journal:  Clin Epigenetics       Date:  2022-06-25       Impact factor: 7.259

3.  Age-Related DNA Methylation in Normal Kidney Tissue Identifies Epigenetic Cancer Risk Susceptibility Loci in the ANKRD34B and ZIC1 Genes.

Authors:  Jürgen Serth; Inga Peters; Bastian Hill; Tatjana Hübscher; Jörg Hennenlotter; Michael Klintschar; Markus Antonius Kuczyk
Journal:  Int J Mol Sci       Date:  2022-05-10       Impact factor: 6.208

4.  Whole Genome DNA Methylation Profiling of D2 Medium Spiny Neurons in Mouse Nucleus Accumbens Using Two Independent Library Preparation Methods.

Authors:  Yuxiang Li; Haiyang Xu; Javed M Chitaman; Jian Feng
Journal:  Genes (Basel)       Date:  2022-02-06       Impact factor: 4.096

5.  Epigenetic Signatures of Smoking in Five Brain Regions.

Authors:  Lea Zillich; Eric Poisel; Fabian Streit; Josef Frank; Gabriel R Fries; Jerome C Foo; Marion M Friske; Lea Sirignano; Anita C Hansson; Markus M Nöthen; Stephanie H Witt; Consuelo Walss-Bass; Rainer Spanagel; Marcella Rietschel
Journal:  J Pers Med       Date:  2022-04-02

6.  Schizophrenia-associated differential DNA methylation in brain is distributed across the genome and annotated to MAD1L1, a locus at which DNA methylation and transcription phenotypes share genetic variation with schizophrenia risk.

Authors:  Brandon C McKinney; Lora L McClain; Christopher M Hensler; Yue Wei; Lambertus Klei; David A Lewis; Bernie Devlin; Jiebiao Wang; Ying Ding; Robert A Sweet
Journal:  Transl Psychiatry       Date:  2022-08-20       Impact factor: 7.989

7.  Epigenome-wide association study of human frontal cortex identifies differential methylation in Lewy body pathology.

Authors:  Lasse Pihlstrøm; Gemma Shireby; Hanneke Geut; Sandra Pilar Henriksen; Annemieke J M Rozemuller; Jon-Anders Tunold; Eilis Hannon; Paul Francis; Alan J Thomas; Seth Love; Jonathan Mill; Wilma D J van de Berg; Mathias Toft
Journal:  Nat Commun       Date:  2022-08-22       Impact factor: 17.694

8.  Genetics of substance use disorders: a review.

Authors:  Joseph D Deak; Emma C Johnson
Journal:  Psychol Med       Date:  2021-04-21       Impact factor: 7.723

  8 in total

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