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Meta-Analysis
. 2021 Jul 30;11(1):413.
doi: 10.1038/s41398-021-01480-x.

Genetic association study of childhood aggression across raters, instruments, and age

Hill F Ip  1 Camiel M van der Laan  1   2 Eva M L Krapohl  3 Isabell Brikell  4 Cristina Sánchez-Mora  5   6   7 Ilja M Nolte  8 Beate St Pourcain  9   10   11 Koen Bolhuis  12 Teemu Palviainen  13 Hadi Zafarmand  14   15 Lucía Colodro-Conde  16 Scott Gordon  16 Tetyana Zayats  17   18   19 Fazil Aliev  20   21 Chang Jiang  22   23 Carol A Wang  24 Gretchen Saunders  25 Ville Karhunen  26 Anke R Hammerschlag  1   27   28 Daniel E Adkins  29   30 Richard Border  31   32   33 Roseann E Peterson  34 Joseph A Prinz  35 Elisabeth Thiering  36   37 Ilkka Seppälä  38 Natàlia Vilor-Tejedor  39   40   41   42   43 Tarunveer S Ahluwalia  44   45 Felix R Day  46 Jouke-Jan Hottenga  1 Andrea G Allegrini  3 Kaili Rimfeld  3 Qi Chen  4 Yi Lu  4 Joanna Martin  4   47 María Soler Artigas  5   6   7 Paula Rovira  5   6   7 Rosa Bosch  5   6   48 Gemma Español  5 Josep Antoni Ramos Quiroga  5   6   7   48 Alexander Neumann  12   49 Judith Ensink  50   51 Katrina Grasby  16 José J Morosoli  16 Xiaoran Tong  22   23 Shelby Marrington  52 Christel Middeldorp  1   27   53 James G Scott  52   54   55 Anna Vinkhuyzen  56 Andrey A Shabalin  30 Robin Corley  31   57 Luke M Evans  31   57 Karen Sugden  35   58 Silvia Alemany  39   40   41 Lærke Sass  44 Rebecca Vinding  44 Kate Ruth  59 Jess Tyrrell  59 Gareth E Davies  60 Erik A Ehli  60 Fiona A Hagenbeek  1 Eveline De Zeeuw  1 Toos C E M Van Beijsterveldt  1 Henrik Larsson  4   61 Harold Snieder  8 Frank C Verhulst  12   62 Najaf Amin  63 Alyce M Whipp  13 Tellervo Korhonen  13 Eero Vuoksimaa  13 Richard J Rose  64 André G Uitterlinden  63   65   66 Andrew C Heath  67 Pamela Madden  67 Jan Haavik  17   68 Jennifer R Harris  69 Øyvind Helgeland  70 Stefan Johansson  17   71 Gun Peggy S Knudsen  69 Pal Rasmus Njolstad  72 Qing Lu  22   23 Alina Rodriguez  26   73 Anjali K Henders  56 Abdullah Mamun  74 Jackob M Najman  52 Sandy Brown  75 Christian Hopfer  76 Kenneth Krauter  77 Chandra Reynolds  78 Andrew Smolen  31 Michael Stallings  31   32 Sally Wadsworth  31 Tamara L Wall  75 Judy L Silberg  34   79 Allison Miller  80 Liisa Keltikangas-Järvinen  81 Christian Hakulinen  81 Laura Pulkki-Råback  81 Alexandra Havdahl  82   83 Per Magnus  84 Olli T Raitakari  85   86   87 John R B Perry  46 Sabrina Llop  88   89 Maria-Jose Lopez-Espinosa  88   89   90 Klaus Bønnelykke  44 Hans Bisgaard  44 Jordi Sunyer  39   40   41   91 Terho Lehtimäki  38 Louise Arseneault  92 Marie Standl  36 Joachim Heinrich  36   93   94 Joseph Boden  95 John Pearson  96 L John Horwood  95 Martin Kennedy  80 Richie Poulton  97 Lindon J Eaves  34   79 Hermine H Maes  34   79   98 John Hewitt  31   32 William E Copeland  99 Elizabeth J Costello  100 Gail M Williams  52 Naomi Wray  56   101 Marjo-Riitta Järvelin  26   102 Matt McGue  25 William Iacono  25 Avshalom Caspi  35   58   92   103 Terrie E Moffitt  35   58   92   103 Andrew Whitehouse  104 Craig E Pennell  24 Kelly L Klump  105 S Alexandra Burt  105 Danielle M Dick  20   106   107 Ted Reichborn-Kjennerud  83   108 Nicholas G Martin  16 Sarah E Medland  16 Tanja Vrijkotte  14 Jaakko Kaprio  13   109 Henning Tiemeier  12   110 George Davey Smith  9   111 Catharina A Hartman  112 Albertine J Oldehinkel  112 Miquel Casas  5   6   7   48 Marta Ribasés  5   6   7 Paul Lichtenstein  4 Sebastian Lundström  113   114 Robert Plomin  3 Meike Bartels  115   116 Michel G Nivard  117 Dorret I Boomsma  118   119
Affiliations
Meta-Analysis

Genetic association study of childhood aggression across raters, instruments, and age

Hill F Ip et al. Transl Psychiatry. .

Abstract

Childhood aggressive behavior (AGG) has a substantial heritability of around 50%. Here we present a genome-wide association meta-analysis (GWAMA) of childhood AGG, in which all phenotype measures across childhood ages from multiple assessors were included. We analyzed phenotype assessments for a total of 328 935 observations from 87 485 children aged between 1.5 and 18 years, while accounting for sample overlap. We also meta-analyzed within subsets of the data, i.e., within rater, instrument and age. SNP-heritability for the overall meta-analysis (AGGoverall) was 3.31% (SE = 0.0038). We found no genome-wide significant SNPs for AGGoverall. The gene-based analysis returned three significant genes: ST3GAL3 (P = 1.6E-06), PCDH7 (P = 2.0E-06), and IPO13 (P = 2.5E-06). All three genes have previously been associated with educational traits. Polygenic scores based on our GWAMA significantly predicted aggression in a holdout sample of children (variance explained = 0.44%) and in retrospectively assessed childhood aggression (variance explained = 0.20%). Genetic correlations (rg) among rater-specific assessment of AGG ranged from rg = 0.46 between self- and teacher-assessment to rg = 0.81 between mother- and teacher-assessment. We obtained moderate-to-strong rgs with selected phenotypes from multiple domains, but hardly with any of the classical biomarkers thought to be associated with AGG. Significant genetic correlations were observed with most psychiatric and psychological traits (range [Formula: see text]: 0.19-1.00), except for obsessive-compulsive disorder. Aggression had a negative genetic correlation (rg = ~-0.5) with cognitive traits and age at first birth. Aggression was strongly genetically correlated with smoking phenotypes (range [Formula: see text]: 0.46-0.60). The genetic correlations between aggression and psychiatric disorders were weaker for teacher-reported AGG than for mother- and self-reported AGG. The current GWAMA of childhood aggression provides a powerful tool to interrogate the rater-specific genetic etiology of AGG.

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Conflict of interest statement

MC has received travel grants and research support from Eli Lilly and Co., Janssen-Cilag, Shire, and Lundbeck and served as consultant for Eli Lilly and Co., Janssen-Cilag, Shire, and Lundbeck. JARQ was on the speakers’ bureau and/or acted as consultant Eli Lilly, Janssen-Cilag, Novartis, Shire, Lundbeck, Almirall, Braingaze, Sincrolab, Medicine, Exeltis, and Rubió in the last 5 years. He also received travel awards (air tickets + hotel) for taking part in psychiatric meetings from Janssen-Cilag, Rubió, Shire, Medice, and Eli-Lilly. The Department of Psychiatry chaired by him received unrestricted educational and research support from the following companies in the last 5 years: Eli-Lilly, Lundbeck, Janssen-Cilag, Actelion, Shire, Ferrer, Oryzon, Roche, Psious, and Rubió.

Figures

Fig. 1
Fig. 1. Manhattan plot of overall meta-analysis for childhood aggression (AGGoverall).
Red triangles represent SNPs that were included in the significant genes from the gene-based analysis. SNPs for ST3GAL3 and IPO13 are included in the same locus on chromosome 1.
Fig. 2
Fig. 2. Proportion of explained variance (vertical axis) in childhood aggression at age 7 by polygenic scores from the overall GWAMA for multiple P value thresholds (horizontal axis).
Numbers above the bars represent unadjusted P values for two-sided test of significance.
Fig. 3
Fig. 3. Proportion of explained variance (vertical axis) in retrospective adolescent CD (two-sided tests).
Blue bars indicate positive correlation with the conduct disorder score.
Fig. 4
Fig. 4. Genetic correlation with external phenotypes.
Phenotypes are ordered by domain. Bars indicate 95% confidence intervals.

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