@article {437,
	title = {Genetic association study of childhood aggression across raters, instruments, and age},
	journal = {Translational Psychiatry},
	volume = {11},
	year = {2021},
	pages = {413},
	abstract = {<p>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 = \&nbsp;-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.</p>
},
	doi = {10.1038/s41398-021-01480-x},
	author = {Ip, Hill F and Van der Laan, Camiel M and Krapohl, Eva M L and Brikell, Isabell and S{\'a}nchez-Mora, Cristina and Nolte, Ilja M and St Pourcain, Beate and Bolhuis, Koen and Palviainen, Teemu and Zafarmand, Hadi and Colodro-Conde, Luc{\'\i}a and Gordon, Scott and Zayats, Tetyana and Aliev, Fazil and Jiang, Chang and Wang, Carol A and Saunders, Gretchen and Karhunen, Ville and Hammerschlag, Anke R and Adkins, Daniel E and Border, Richard and Peterson, Roseann E and Prinz, Joseph A and Thiering, Elisabeth and Sepp{\"a}l{\"a}, Ilkka and Vilor-Tejedor, Nat{\`a}lia and Ahluwalia, Tarunveer S and Day, Felix R and Hottenga, Jouke-Jan and Allegrini, Andrea G and Rimfeld, Kaili and Chen, Qi and Lu, Yi and Martin, Joanna and Soler Artigas, Mar{\'\i}a and Rovira, Paula and Bosch, Rosa and Espa{\~n}ol, Gemma and Ramos Quiroga, Josep Antoni and Neumann, Alexander and Ensink, Judith and Grasby, Katrina and Morosoli, Jos{\'e} J and Tong, Xiaoran and Marrington, Shelby and Middeldorp, Christel and Scott, James G and Vinkhuyzen, Anna and Shabalin, Andrey A and Corley, Robin and Evans, Luke M and Sugden, Karen and Alemany, Silvia and Sass, L{\ae}rke and Vinding, Rebecca and Ruth, Kate and Tyrrell, Jess and Davies, Gareth E and Ehli, Erik A and Hagenbeek, Fiona A and de Zeeuw, Eveline and van Beijsterveldt, Toos C E M and Larsson, Henrik and Snieder, Harold and Verhulst, Frank C and Amin, Najaf and Whipp, Alyce M and Korhonen, Tellervo and Vuoksimaa, Eero and Rose, Richard J and Uitterlinden, Andre G and Heath, Andrew C and Madden, Pamela and Haavik, Jan and Harris, Jennifer R and Helgeland, {\O}yvind and Johansson, Stefan and Knudsen, Gun Peggy S and Njolstad, Pal Rasmus and Lu, Qing and Rodriguez, Alina and Henders, Anjali K and Mamun, Abdullah and Najman, Jackob M and Brown, Sandy and Hopfer, Christian and Krauter, Kenneth and Reynolds, Chandra and Smolen, Andrew and Stallings, Michael and Wadsworth, Sally and Wall, Tamara L and Silberg, Judy L and Miller, Allison and Keltikangas-J{\"a}rvinen, Liisa and Hakulinen, Christian and Pulkki-R\aaback, Laura and Havdahl, Alexandra and Magnus, Per and Raitakari, Olli T and Perry, John R B and Llop, Sabrina and Lopez-Espinosa, Maria-Jose and B{\o}nnelykke, Klaus and Bisgaard, Hans and Sunyer, Jordi and Lehtim{\"a}ki, Terho and Arseneault, Louise and Standl, Marie and Heinrich, Joachim and Boden, Joseph and Pearson, John and Horwood, L John and Kennedy, Martin and Poulton, Richie and Eaves, Lindon J and Maes, Hermine H and Hewitt, John and Copeland, William E and Costello, Elizabeth J and Williams, Gail M and Wray, Naomi and Jarvelin, Marjo-Riitta and McGue, Matt and Iacono, William and Caspi, Avshalom and Moffitt, Terrie E and Whitehouse, Andrew and Pennell, Craig E and Klump, Kelly L and Burt, S Alexandra and Dick, Danielle M and Reichborn-Kjennerud, Ted and Martin, Nicholas G and Medland, Sarah E and Vrijkotte, Tanja and Kaprio, Jaakko and Tiemeier, Henning and Davey Smith, George and Hartman, Catharina A and Oldehinkel, Albertine J and Casas, Miquel and Ribas{\'e}s, Marta and Lichtenstein, Paul and Lundstr{\"o}m, Sebastian and Plomin, Robert and Bartels, Meike and Nivard, Michel G and Boomsma, Dorret I}
}
@article {434,
	title = {Genetically informed regression analysis: Application to aggression prediction by inattention and hyperactivity in children and adults},
	journal = {Behavior Genetics},
	volume = {51},
	year = {2021},
	pages = {250{\textendash}263},
	abstract = {<p>We present a procedure to simultaneously fit a genetic covariance structure model and a regression model to multivariate data from mono- and dizygotic twin pairs to test for the prediction of a dependent trait by multiple correlated predictors. We applied the model to aggressive behavior as an outcome trait and investigated the prediction of aggression from inattention (InA) and hyperactivity (HA) in two age groups. Predictions were examined in twins with an average age of 10 years (11,345 pairs), and in adult twins with an average age of 30 years (7433 pairs). All phenotypes were assessed by the same, but age-appropriate, instruments in children and adults. Because of the different genetic architecture of aggression, InA and HA, a model was fitted to these data that specified additive and non-additive genetic factors (A and D) plus common and unique environmental (C and E) influences. Given appropriate identifying constraints, this ADCE model is identified in trivariate data. We obtained different results for the prediction of aggression in children, where HA was the more important predictor, and in adults, where InA was the more important predictor. In children, about 36\% of the total aggression variance was explained by the genetic and environmental components of HA and InA. Most of this was explained by the genetic components of HA and InA, i.e., 29.7\%, with 22.6\% due to the genetic component of HA. In adults, about 21\% of the aggression variance was explained. Most was this was again explained by the genetic components of InA and HA (16.2\%), with 8.6\% due to the genetic component of InA.</p>
},
	keywords = {Aggression, Genetic and environmental prediction, Hyperactivity, Inattention, Regression, Structural equation model},
	doi = {10.1007/s10519-020-10025-9},
	author = {Boomsma, Dorret I and van Beijsterveldt, Toos C E M and Odintsova, Veronika V and Neale, Michael C and Dolan, Conor V}
}
