Genetic Epidemiology, Translational Neurogenomics, Psychiatric Genetics and Statistical Genetics Laboratories investigate the pattern of disease in families, particularly identical and non-identical twins, to assess the relative importance of genes and environment in a variety of important health problems.
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PMID
28979981
TITLE
Genome-Wide Association Studies of a Broad Spectrum of Antisocial Behavior.
ABSTRACT
Importance
Antisocial behavior (ASB) places a large burden on perpetrators, survivors, and society. Twin studies indicate that half of the variation in this trait is genetic. Specific causal genetic variants have, however, not been identified.
Objectives
Antisocial behavior (ASB) places a large burden on perpetrators, survivors, and society. Twin studies indicate that half of the variation in this trait is genetic. Specific causal genetic variants have, however, not been identified. To estimate the single-nucleotide polymorphism-based heritability of ASB; to identify novel genetic risk variants, genes, or biological pathways; to test for pleiotropic associations with other psychiatric traits; and to reevaluate the candidate gene era data through the Broad Antisocial Behavior Consortium.
Design, Setting, and Participants
Antisocial behavior (ASB) places a large burden on perpetrators, survivors, and society. Twin studies indicate that half of the variation in this trait is genetic. Specific causal genetic variants have, however, not been identified. To estimate the single-nucleotide polymorphism-based heritability of ASB; to identify novel genetic risk variants, genes, or biological pathways; to test for pleiotropic associations with other psychiatric traits; and to reevaluate the candidate gene era data through the Broad Antisocial Behavior Consortium. Genome-wide association data from 5 large population-based cohorts and 3 target samples with genome-wide genotype and ASB data were used for meta-analysis from March 1, 2014, to May 1, 2016. All data sets used quantitative phenotypes, except for the Finnish Crime Study, which applied a case-control design (370 patients and 5850 control individuals).
Main Outcome and Measures
Antisocial behavior (ASB) places a large burden on perpetrators, survivors, and society. Twin studies indicate that half of the variation in this trait is genetic. Specific causal genetic variants have, however, not been identified. To estimate the single-nucleotide polymorphism-based heritability of ASB; to identify novel genetic risk variants, genes, or biological pathways; to test for pleiotropic associations with other psychiatric traits; and to reevaluate the candidate gene era data through the Broad Antisocial Behavior Consortium. Genome-wide association data from 5 large population-based cohorts and 3 target samples with genome-wide genotype and ASB data were used for meta-analysis from March 1, 2014, to May 1, 2016. All data sets used quantitative phenotypes, except for the Finnish Crime Study, which applied a case-control design (370 patients and 5850 control individuals). This study adopted relatively broad inclusion criteria to achieve a quantitative measure of ASB derived from multiple measures, maximizing the sample size over different age ranges.
Results
Antisocial behavior (ASB) places a large burden on perpetrators, survivors, and society. Twin studies indicate that half of the variation in this trait is genetic. Specific causal genetic variants have, however, not been identified. To estimate the single-nucleotide polymorphism-based heritability of ASB; to identify novel genetic risk variants, genes, or biological pathways; to test for pleiotropic associations with other psychiatric traits; and to reevaluate the candidate gene era data through the Broad Antisocial Behavior Consortium. Genome-wide association data from 5 large population-based cohorts and 3 target samples with genome-wide genotype and ASB data were used for meta-analysis from March 1, 2014, to May 1, 2016. All data sets used quantitative phenotypes, except for the Finnish Crime Study, which applied a case-control design (370 patients and 5850 control individuals). This study adopted relatively broad inclusion criteria to achieve a quantitative measure of ASB derived from multiple measures, maximizing the sample size over different age ranges. The discovery samples comprised 16 400 individuals, whereas the target samples consisted of 9381 individuals (all individuals were of European descent), including child and adult samples (mean age range, 6.7-56.1 years). Three promising loci with sex-discordant associations were found (8535 female individuals, chromosome 1: rs2764450, chromosome 11: rs11215217; 7772 male individuals, chromosome X, rs41456347). Polygenic risk score analyses showed prognostication of antisocial phenotypes in an independent Finnish Crime Study (2536 male individuals and 3684 female individuals) and shared genetic origin with conduct problems in a population-based sample (394 male individuals and 431 female individuals) but not with conduct disorder in a substance-dependent sample (950 male individuals and 1386 female individuals) (R2 = 0.0017 in the most optimal model, P = 0.03). Significant inverse genetic correlation of ASB with educational attainment (r = -0.52, P = .005) was detected.
Conclusions and Relevance
Antisocial behavior (ASB) places a large burden on perpetrators, survivors, and society. Twin studies indicate that half of the variation in this trait is genetic. Specific causal genetic variants have, however, not been identified. To estimate the single-nucleotide polymorphism-based heritability of ASB; to identify novel genetic risk variants, genes, or biological pathways; to test for pleiotropic associations with other psychiatric traits; and to reevaluate the candidate gene era data through the Broad Antisocial Behavior Consortium. Genome-wide association data from 5 large population-based cohorts and 3 target samples with genome-wide genotype and ASB data were used for meta-analysis from March 1, 2014, to May 1, 2016. All data sets used quantitative phenotypes, except for the Finnish Crime Study, which applied a case-control design (370 patients and 5850 control individuals). This study adopted relatively broad inclusion criteria to achieve a quantitative measure of ASB derived from multiple measures, maximizing the sample size over different age ranges. The discovery samples comprised 16 400 individuals, whereas the target samples consisted of 9381 individuals (all individuals were of European descent), including child and adult samples (mean age range, 6.7-56.1 years). Three promising loci with sex-discordant associations were found (8535 female individuals, chromosome 1: rs2764450, chromosome 11: rs11215217; 7772 male individuals, chromosome X, rs41456347). Polygenic risk score analyses showed prognostication of antisocial phenotypes in an independent Finnish Crime Study (2536 male individuals and 3684 female individuals) and shared genetic origin with conduct problems in a population-based sample (394 male individuals and 431 female individuals) but not with conduct disorder in a substance-dependent sample (950 male individuals and 1386 female individuals) (R2 = 0.0017 in the most optimal model, P = 0.03). Significant inverse genetic correlation of ASB with educational attainment (r = -0.52, P = .005) was detected. The Broad Antisocial Behavior Consortium entails the largest collaboration to date on the genetic architecture of ASB, and the first results suggest that ASB may be highly polygenic and has potential heterogeneous genetic effects across sex.
DATE PUBLISHED
2017 12 01
HISTORY
PUBSTATUS PUBSTATUSDATE
pubmed 2017/10/06 06:00
medline 2017/12/14 06:00
entrez 2017/10/06 06:00
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Tielbeek JJ Tielbeek Jorim J JJ QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia.
Johansson A Johansson Ada A Department of Psychology, Faculty of Arts, Psychology, and Theology, Åbo Akademi University, Turku, Finland.
Polderman TJC Polderman Tinca J C TJC Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Neuroscience Campus Amsterdam, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Rautiainen MR Rautiainen Marja-Riitta MR Department of Psychiatry, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Jansen P Jansen Philip P Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands.
Taylor M Taylor Michelle M Medical Research Council (MRC) Integrative Epidemiology Unit, University of Bristol, Bristol, England.
Tong X Tong Xiaoran X Department of Epidemiology and Biostatistics, Michigan State University, East Lansing.
Lu Q Lu Qing Q Department of Epidemiology and Biostatistics, Michigan State University, East Lansing.
Burt AS Burt Alexandra S AS Department of Psychology, Michigan State University, East Lansing.
Tiemeier H Tiemeier Henning H Department of Psychiatry, Erasmus Medical Center, Rotterdam, the Netherlands.
Viding E Viding Essi E Division of Psychology and Language Sciences, University College London, London, England.
Plomin R Plomin Robert R Division of Psychology and Language Sciences, University College London, London, England.
Martin NG Martin Nicholas G NG QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia.
Heath AC Heath Andrew C AC Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri.
Madden PAF Madden Pamela A F PAF Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri.
Montgomery G Montgomery Grant G QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia.
Beaver KM Beaver Kevin M KM Center for Social and Humanities Research, King Abdulaziz University, Jeddah, Saudi Arabia.
Waldman I Waldman Irwin I Psychology Department, Emory University, Atlanta, Georgia.
Gelernter J Gelernter Joel J Veterans Affairs (VA) Connecticut Healthcare Center, New Haven.
Kranzler HR Kranzler Henry R HR Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania.
Farrer LA Farrer Lindsay A LA Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, Massachusetts.
Perry JRB Perry John R B JRB MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge, England.
Munafò M Munafò Marcus M Medical Research Council (MRC) Integrative Epidemiology Unit, University of Bristol, Bristol, England.
LoParo D LoParo Devon D Psychology Department, Emory University, Atlanta, Georgia.
Paunio T Paunio Tiina T Department of Psychiatry, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Tiihonen J Tiihonen Jari J Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, Kuopio, Finland.
Mous SE Mous Sabine E SE Department of Child and Adolescent Psychiatry/Psychology, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, the Netherlands.
Pappa I Pappa Irene I Department of Child and Adolescent Psychiatry/Psychology, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, the Netherlands.
de Leeuw C de Leeuw Christiaan C Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Neuroscience Campus Amsterdam, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Watanabe K Watanabe Kyoko K Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Neuroscience Campus Amsterdam, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Hammerschlag AR Hammerschlag Anke R AR Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands.
Salvatore JE Salvatore Jessica E JE Department of Psychology and the Virginia Institute for Psychiatric and Behavioural Genetics, Virginia Commonwealth University, Richmond.
Aliev F Aliev Fazil F Faculty of Business, Karabuk University, Karabuk, Turkey.
Bigdeli TB Bigdeli Tim B TB Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond.
Dick D Dick Danielle D Department of Psychology, African American Studies, and Human & Molecular Genetics, Virginia Commonwealth University, Richmond.
Faraone SV Faraone Stephen V SV Department of Neuroscience and Physiology, Psychiatric Genetic Epidemiology and Neurobiology Laboratory, SUNY Upstate Medical University, Syracuse, New York.
Popma A Popma Arne A Department of Child and Adolescent Psychiatry, VU University Medical Center, Amsterdam, the Netherlands.
Medland SE Medland Sarah E SE QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia.
Posthuma D Posthuma Danielle D Department of Clinical Genetics, Neuroscience Campus Amsterdam, Vrije Universiteit Medical Center, Amsterdam, the Netherlands.
Broad Antisocial Behavior Consortium collaborators
INVESTIGATORS
JOURNAL
VOLUME: 74
ISSUE: 12
TITLE: JAMA psychiatry
ISOABBREVIATION: JAMA Psychiatry
YEAR: 2017
MONTH: 12
DAY: 01
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Internet
ISSN: 2168-6238
ISSNTYPE: Electronic
MEDLINE JOURNAL
MEDLINETA: JAMA Psychiatry
COUNTRY: United States
ISSNLINKING: 2168-622X
NLMUNIQUEID: 101589550
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Journal Article
Research Support, Non-U.S. Gov't
Research Support, N.I.H., Extramural
COMMENTS AND CORRECTIONS
REFTYPE REFSOURCE REFPMID NOTE
ErratumIn JAMA Psychiatry. 2018 Mar 1;75(3):303 29365011
GRANTS
GRANTID AGENCY COUNTRY
MC_UU_12013/6 Medical Research Council United Kingdom
G0901245 Medical Research Council United Kingdom
K01 DA033346 NIDA NIH HHS United States
G19/2 Medical Research Council United Kingdom
K01 AA024152 NIAAA NIH HHS United States
MR/M021475/1 Medical Research Council United Kingdom
G0500079 Medical Research Council United Kingdom
F32 AA022269 NIAAA NIH HHS United States
MC_UU_12015/2 Medical Research Council United Kingdom
MC_PC_15018 Medical Research Council United Kingdom
GENERAL NOTE
KEYWORDS
MESH HEADINGS
DESCRIPTORNAME QUALIFIERNAME
Adolescent
Adult
Antisocial Personality Disorder psychology
Child psychology
Conduct Disorder psychology
Environment psychology
Female psychology
Finland epidemiology
Genetic Variation epidemiology
Genome-Wide Association Study epidemiology
Humans epidemiology
Male epidemiology
Middle Aged epidemiology
Multifactorial Inheritance epidemiology
Sex Factors epidemiology
SUPPLEMENTARY MESH
GENE SYMBOLS
CHEMICALS
OTHER ID's