Authors
Irene Pappa, Beate St Pourcain, Kelly Benke, Alana Cavadino, Christian Hakulinen, Michel G Nivard, Ilja M Nolte, Carla MT Tiesler, Marian J Bakermans-Kranenburg, Gareth E Davies, David M Evans, Marie Claude Geoffroy, Harald Grallert, Maria M Groen-Blokhuis, James J Hudziak, John P Kemp, Liisa Keltikangas-Järvinen, George Mcmahon, Viara R Mileva-Seitz, Ehsan Motazedi, Christine Power, Olli T Raitakari, Susan M Ring, Fernando Rivadeneira, Alina Rodriguez, Paul A Scheet, Ilkka Seppälä, Harold Snieder, Marie Standl, Elisabeth Thiering, Nicholas J Timpson, René Veenstra, Fleur P Velders, Andrew JO Whitehouse, George Davey Smith, Joachim Heinrich, Elina Hypponen, Terho Lehtimäki, Christel M Middeldorp, Albertine J Oldehinkel, Craig E Pennell, Dorret I Boomsma, Henning Tiemeier
Publication date
2015
Journal
American Journal of Medical Genetics-Neuropsychiatric Genetics
Description
Individual differences in aggressive behavior emerge in early childhood and predict persisting behavioral problems and disorders. Studies of antisocial and severe aggression in adulthood indicate substantial underlying biology. However, little attention has been given to genome-wide approaches of aggressive behavior in children. We analyzed data from nine population-based studies and assessed aggressive behavior using well-validated parent-reported questionnaires. This is the largest sample exploring children's aggressive behavior to date (N= 18,988), with measures in two developmental stages (N= 15,668 early childhood and N= 16,311 middle childhood/early adolescence). First, we estimated the additive genetic variance of children's aggressive behavior based on genome-wide SNP information, using genome-wide complex trait analysis (GCTA). Second, genetic associations within each study were assessed using a quasi-Poisson regression approach, capturing the highly right-skewed distribution of aggressive behavior. Third, we performed meta-analyses of genome-wide associations for both the total age-mixed sample and the two developmental stages. Finally, we performed a gene-based test using the summary statistics of the total sample. GCTA quantified variance tagged by common SNPs (10-54%). The meta-analysis of the total sample identified one region in chromosome 2 (2p12) at near genome-wide significance (top SNP rs11126630, P= 5.30× 10-8). The separate meta-analyses of the two developmental stages revealed suggestive evidence of association at the same locus. The gene-based analysis indicated …
Total citations
20192020202111
Scholar articles
I Pappa, B St Pourcain, K Benke, A Cavadino… - … Journal of Medical Genetics-Neuropsychiatric Genetics, 2015