<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bentley, M. J.</style></author><author><style face="normal" font="default" size="100%">Lin, H.</style></author><author><style face="normal" font="default" size="100%">Fernandez, T. V.</style></author><author><style face="normal" font="default" size="100%">Lee, M.</style></author><author><style face="normal" font="default" size="100%">Yrigollen, C. M.</style></author><author><style face="normal" font="default" size="100%">Pakstis, A. J.</style></author><author><style face="normal" font="default" size="100%">Katsovich, L.</style></author><author><style face="normal" font="default" size="100%">Olds, D. L.</style></author><author><style face="normal" font="default" size="100%">Grigorenko, E. L.</style></author><author><style face="normal" font="default" size="100%">Leckman, J. F.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Gene variants associated with antisocial behaviour: a latent variable approach</style></title><secondary-title><style face="normal" font="default" size="100%">J Child Psychol Psychiatry</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Adolescent</style></keyword><keyword><style  face="normal" font="default" size="100%">Adolescent Behavior/*physiology</style></keyword><keyword><style  face="normal" font="default" size="100%">Antisocial behaviour</style></keyword><keyword><style  face="normal" font="default" size="100%">Antisocial Personality Disorder/*genetics</style></keyword><keyword><style  face="normal" font="default" size="100%">co-action of gene variants</style></keyword><keyword><style  face="normal" font="default" size="100%">Female</style></keyword><keyword><style  face="normal" font="default" size="100%">Follow-Up Studies</style></keyword><keyword><style  face="normal" font="default" size="100%">Genetic Predisposition to Disease/*genetics</style></keyword><keyword><style  face="normal" font="default" size="100%">Genotype</style></keyword><keyword><style  face="normal" font="default" size="100%">Genotyping Techniques</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">latent variable analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Models, Genetic</style></keyword><keyword><style  face="normal" font="default" size="100%">Phenotype</style></keyword><keyword><style  face="normal" font="default" size="100%">Pilot Projects</style></keyword><keyword><style  face="normal" font="default" size="100%">Polymorphism, Single Nucleotide/*genetics</style></keyword><keyword><style  face="normal" font="default" size="100%">Randomized Controlled Trials as Topic</style></keyword><keyword><style  face="normal" font="default" size="100%">Reaction Time/genetics</style></keyword><keyword><style  face="normal" font="default" size="100%">shared variance</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Oct</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">10</style></number><volume><style face="normal" font="default" size="100%">54</style></volume><pages><style face="normal" font="default" size="100%">1074-85</style></pages><isbn><style face="normal" font="default" size="100%">1469-7610 (Electronic)&lt;br/&gt;0021-9630 (Linking)</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">OBJECTIVE: The aim of this study was to determine if a latent variable approach might be useful in identifying shared variance across genetic risk alleles that is associated with antisocial behaviour at age 15 years. METHODS: Using a conventional latent variable approach, we derived an antisocial phenotype in 328 adolescents utilizing data from a 15-year follow-up of a randomized trial of a prenatal and infancy nurse-home visitation programme in Elmira, New York. We then investigated, via a novel latent variable approach, 450 informative genetic polymorphisms in 71 genes previously associated with antisocial behaviour, drug use, affiliative behaviours and stress response in 241 consenting individuals for whom DNA was available. Haplotype and Pathway analyses were also performed. RESULTS: Eight single-nucleotide polymorphisms (SNPs) from eight genes contributed to the latent genetic variable that in turn accounted for 16.0% of the variance within the latent antisocial phenotype. The number of risk alleles was linearly related to the latent antisocial variable scores. Haplotypes that included the putative risk alleles for all eight genes were also associated with higher latent antisocial variable scores. In addition, 33 SNPs from 63 of the remaining genes were also significant when added to the final model. Many of these genes interact on a molecular level, forming molecular networks. The results support a role for genes related to dopamine, norepinephrine, serotonin, glutamate, opioid and cholinergic signalling as well as stress response pathways in mediating susceptibility to antisocial behaviour. CONCLUSIONS: This preliminary study supports use of relevant behavioural indicators and latent variable approaches to study the potential 'co-action' of gene variants associated with antisocial behaviour. It also underscores the cumulative relevance of common genetic variants for understanding the aetiology of complex behaviour. If replicated in future studies, this approach may allow the identification of a 'shared' variance across genetic risk alleles associated with complex neuropsychiatric dimensional phenotypes using relatively small numbers of well-characterized research participants.</style></abstract><accession-num><style face="normal" font="default" size="100%">23822756</style></accession-num><notes><style face="normal" font="default" size="100%">Bentley, Mary Jane&lt;br/&gt;Lin, Haiqun&lt;br/&gt;Fernandez, Thomas V&lt;br/&gt;Lee, Maria&lt;br/&gt;Yrigollen, Carolyn M&lt;br/&gt;Pakstis, Andrew J&lt;br/&gt;Katsovich, Liliya&lt;br/&gt;Olds, David L&lt;br/&gt;Grigorenko, Elena L&lt;br/&gt;Leckman, James F&lt;br/&gt;eng&lt;br/&gt;R25 MH077823/MH/NIMH NIH HHS/&lt;br/&gt;R01DA021624/DA/NIDA NIH HHS/&lt;br/&gt;T32MH018268/MH/NIMH NIH HHS/&lt;br/&gt;T32 MH018268/MH/NIMH NIH HHS/&lt;br/&gt;R01DA216240/DA/NIDA NIH HHS/&lt;br/&gt;R01 DA021624/DA/NIDA NIH HHS/&lt;br/&gt;Research Support, N.I.H., Extramural&lt;br/&gt;England&lt;br/&gt;2013/07/05 06:00&lt;br/&gt;J Child Psychol Psychiatry. 2013 Oct;54(10):1074-85. doi: 10.1111/jcpp.12109. Epub 2013 Jul 3.</style></notes><custom2><style face="normal" font="default" size="100%">3766409</style></custom2><auth-address><style face="normal" font="default" size="100%">Yale Child Study Center, Yale University School of Medicine, New Haven, CT, USA.</style></auth-address></record></records></xml>