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Chunk #28 — Results — Stratified assessment of childhood aggressive behavior

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Genetic association study of childhood aggression across raters, instruments, and age.
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Separate meta-analyses were carried out for raters, instruments and age. None of these GWAMAs returned genome-wide significant hits. Manhattan plots for the four rater-specific GWAMAs are shown in Supplementary Fig. 6. Estimates of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$h_{SNP}^2$$\end{document}hSNP2 for rater-specific assessment of AGG are shown in Supplementary Table 18. The lowest \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$h_{SNP}^2$$\end{document}hSNP2 was observed for father-reported AGG (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$h_{SNP}^2$$\end{document}hSNP2 = 0.04; SE = 0.03) and the highest for teacher-reported AGG (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$h_{SNP}^2$$\end{document}hSNP2 = 0.08; SE = 0.02). We estimated rg between rater-specific assessment of AGG, except for father-reported AGG, which returned a non-significant \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$h_{SNP}^2$$\end{document}hSNP2. A substantial genetic correlation was observed between AGGMother and AGGTeacher (rg = 0.81; SE = 0.11). Moderate genetic correlations were observed between AGGSelf and AGGMother (rg = 0.67; SE = 0.10), and between AGGSelf and AGGTeacher (rg = 0.46; SE = 0.13). Both genetic correlations involving self-reported AGG were significantly lower than 1.