Epigenome-Wide Association Study of Aggressive Behavior

被引:28
|
作者
van Dongen, Jenny [1 ,2 ]
Nivard, Michel G. [1 ]
Baselmans, Bart M. L. [1 ,2 ]
Zilhao, Nuno R. [1 ]
Ligthart, Lannie [1 ]
Heijmans, Bastiaan T. [3 ]
Bartels, Meike [1 ,2 ]
Boomsma, Dorret I. [1 ,2 ]
机构
[1] Vrije Univ Amsterdam, Dept Biol Psychol, Van der Boechorststr 1, NL-1081 BT Amsterdam, Netherlands
[2] Vrije Univ Amsterdam, Med Ctr, EMGO Inst Hlth & Care Res, Amsterdam, Netherlands
[3] Leiden Univ, Med Ctr, Dept Mol Epidemiol, Leiden, Netherlands
基金
英国生物技术与生命科学研究理事会; 欧洲研究理事会;
关键词
aggression; aggressive; DNA methylation; epigenetics; EWAS; 450k; twins; NETHERLANDS TWIN REGISTER; PROLYL ENDOPEPTIDASE ACTIVITY; PHYSICAL AGGRESSION; DNA METHYLATION; CHILDHOOD AGGRESSION; PARKINSONS-DISEASE; GENETIC ANALYSES; HUMAN GENOME; DISORDER; CHILDREN;
D O I
10.1017/thg.2015.74
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Aggressive behavior is highly heritable, while environmental influences, particularly early in life, are also important. Epigenetic mechanisms, such as DNA methylation, regulate gene expression throughout development and adulthood, and may mediate genetic and environmental effects on complex traits. We performed an epigenome-wide association study (EWAS) to identify regions in the genome where DNA methylation level is associated with aggressive behavior. Subjects took part in longitudinal survey studies from the Netherlands Twin Register (NTR) and participated in the NTR biobank project between 2004 and 2011 (N = 2,029, mean age at blood sampling = 36.4 years, SD = 12.4, females = 69.2%). Aggressive behavior was rated with the ASEBA Adult Self-Report (ASR). DNA methylation was measured in whole blood by the Illumina HM450k array. The association between aggressive behavior and DNA methylation level at 411,169 autosomal sites was tested. Association analyses in the entire cohort showed top sites at cg01792876 (chr8; 116,684,801, nearest gene = TRPS1, p = 7.6 x 10(-7), False discovery rate (FDR) = 0.18) and cg06092953 (chr18; 77,905,699, nearest gene = PARD6G-AS1, p = 9.0 x10(-7), FDR = 0.18). Next, we compared methylation levels in 20 pairs of monozygotic (MZ) twins highly discordant for aggression. Here the top sites were cg21557159 (chr 11; 107,795,699, nearest gene = RAB39, p = 5.7 x 10(-6), FDR = 0.99), cg08648367 (chr 19; 51,925,472, nearest gene = SIGLEC10, p = 7.6 x 10(-6), FDR = 0.99), and cg14212412 (chr 6; 105,918,992, nearest gene = PREP, p = 8.0 x 10(-6), FDR = 0.99). The two top hits based on the entire cohort showed the same direction of effect in discordant MZ pairs (cg01792876, P-discordant twins = 0.09 and cg06092953, P-discordant twins = 0.24). The other way around, two of the three most significant sites in discordant MZ pairs showed the same direction of effect in the entire cohort (cg08648367, P-entire EWAS = 0.59 and cg14212412, P-entire EWAS = 3.1 x 10(-3)). Gene ontology analysis highlighted significant enrichment of various central nervous system categories among higher-ranking methylation sites. Higher-ranking methylation sites also showed enrichment for DNase I hypersensitive sites and promoter regions, showing that DNA methylation in peripheral tissues is likely to be associated with aggressive behavior.
引用
收藏
页码:686 / 698
页数:13
相关论文
共 50 条
  • [21] EPIGENOME-WIDE ASSOCIATION STUDY OF READING AND LANGUAGE TRAITS
    Mountford, Hayley
    Bates, Tim
    Marioni, Riccardo
    Luciano, Michelle
    EUROPEAN NEUROPSYCHOPHARMACOLOGY, 2024, 87 : 233 - 233
  • [22] Epigenome-wide association study of seizures in childhood and adolescence
    Doretta Caramaschi
    Charlie Hatcher
    Rosa H. Mulder
    Janine F. Felix
    Charlotte A. M. Cecil
    Caroline L. Relton
    Esther Walton
    Clinical Epigenetics, 2020, 12
  • [23] Epigenome-wide association study of leukocyte telomere length
    Lee, Yunsung
    Sun, Dianjianyi
    Ori, Anil P. S.
    Lu, Ake T.
    Seeboth, Anne
    Harris, Sarah E.
    Deary, Ian J.
    Marioni, Riccardo E.
    Soerensen, Mette
    Mengel-From, Jonas
    Hjelmborg, Jacob
    Christensen, Kaare
    Wilson, James G.
    Levy, Daniel
    Reiner, Alex P.
    Chen, Wei
    Li, Shengxu
    Harris, Jennifer R.
    Magnus, Per
    Aviv, Abraham
    Jugessur, Astanand
    Horvath, Steve
    AGING-US, 2019, 11 (16): : 5876 - 5894
  • [24] EWAS: epigenome-wide association study software 2.0
    Xu, Jing
    Zhao, Linna
    Liu, Di
    Hu, Simeng
    Song, Xiuling
    Li, Jin
    Lv, Hongchao
    Duan, Lian
    Zhang, Mingming
    Jiang, Qinghua
    Liu, Guiyou
    Jin, Shuilin
    Liao, Mingzhi
    Zhang, Meng
    Feng, Rennan
    Kong, Fanwu
    Xu, Liangde
    Jiang, Yongshuai
    BIOINFORMATICS, 2018, 34 (15) : 2657 - 2658
  • [25] Estimands in epigenome-wide association studies
    Kruppa, Jochen
    Sieg, Miriam
    Richter, Gesa
    Pohrt, Anne
    CLINICAL EPIGENETICS, 2021, 13 (01)
  • [26] Epigenome-wide association study (EWAS) on lipids: the Rotterdam Study
    Braun, Kim V. E.
    Dhana, Klodian
    de Vries, Paul S.
    Voortman, Trudy
    van Meurs, Joyce B. J.
    Uitterlinden, Andre G.
    Hofman, Albert
    Hu, Frank B.
    Franco, Oscar H.
    Dehghan, Abbas
    CLINICAL EPIGENETICS, 2017, 9
  • [27] Estimands in epigenome-wide association studies
    Jochen Kruppa
    Miriam Sieg
    Gesa Richter
    Anne Pohrt
    Clinical Epigenetics, 2021, 13
  • [28] Epigenome-wide association study (EWAS) on lipids: the Rotterdam Study
    Kim V. E. Braun
    Klodian Dhana
    Paul S. de Vries
    Trudy Voortman
    Joyce B. J. van Meurs
    Andre G. Uitterlinden
    Albert Hofman
    Frank B. Hu
    Oscar H. Franco
    Abbas Dehghan
    Clinical Epigenetics, 2017, 9
  • [29] Association of DNA Methylation Differences With Schizophrenia in an Epigenome-Wide Association Study
    Montano, Carolina
    Taub, Margaret A.
    Jaffe, Andrew
    Briem, Eirikur
    Feinberg, Jason I.
    Trygvadottir, Rakel
    Idrizi, Adrian
    Runarsson, Arni
    Berndsen, Birna
    Gur, Ruben C.
    Moore, Tyler M.
    Perry, Rodney T.
    Fugman, Doug
    Sabunciyan, Sarven
    Yolken, Robert H.
    Hyde, Thomas M.
    Kleinman, Joel E.
    Sobell, Janet L.
    Pato, Carlos N.
    Pato, Michele T.
    Go, Rodney C.
    Nimgaonkar, Vishwajit
    Weinberger, Daniel R.
    Braff, David
    Gur, Raquel E.
    Fallin, Margaret Daniele
    Feinberg, Andrew P.
    JAMA PSYCHIATRY, 2016, 73 (05) : 506 - 514
  • [30] Epigenome-Wide Association Study Meta-analysis of Wellbeing
    Bartels, Meike
    van de Weijer, Margot P.
    Baselmans, Bart M. L.
    van Dongen, Jenny
    BEHAVIOR GENETICS, 2024, 54 (06) : 513 - 514