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Gene–environment interaction of monoamine oxidase A in relation to antisocial behaviour: current and future directions
Since the pioneering finding of Caspi and co-workers in 2002 that exposure to childhood maltreatment predicted later antisocial behaviour (ASB) in male carriers of the low-activity MAOA-uVNTR allele, frequent replication studies have been published. Two meta-analyses, one in 2006 and the other in 20...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6224008/ https://www.ncbi.nlm.nih.gov/pubmed/29881923 http://dx.doi.org/10.1007/s00702-018-1892-2 |
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author | Nilsson, Kent W. Åslund, Cecilia Comasco, Erika Oreland, Lars |
author_facet | Nilsson, Kent W. Åslund, Cecilia Comasco, Erika Oreland, Lars |
author_sort | Nilsson, Kent W. |
collection | PubMed |
description | Since the pioneering finding of Caspi and co-workers in 2002 that exposure to childhood maltreatment predicted later antisocial behaviour (ASB) in male carriers of the low-activity MAOA-uVNTR allele, frequent replication studies have been published. Two meta-analyses, one in 2006 and the other in 2014, confirmed the original findings by Caspi and co-workers. In the present paper, we review the literature, note some methodological aspects of candidate gene–environment interaction (cG×E) studies and suggest some future directions. Our conclusions are as follows. (1) The direction of the effect in a cG×E model may differ according to the positive and negative environmental background of the population. (2) There is a predictor-intersection problem such that when measuring one type of maltreatment in a person, other kinds of maltreatment often co-occur. Other forms of abuse are implicitly considered in statistical models; therefore, it is difficult to draw conclusions about the effects of timing and the severity of different forms of stressful life events in relation to ASB. (3) There is also an outcome-intersection problem because of the major intersection of ASB and other forms of mental health problems. It is likely that the G×E with MAOA is related to a common unmeasured factor. (4) For the G×E model, in which the effect of the gene on the outcome variable is dependent on other predictor variables, theoretically, hypothesis-driven statistical modelling is needed. |
format | Online Article Text |
id | pubmed-6224008 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Vienna |
record_format | MEDLINE/PubMed |
spelling | pubmed-62240082018-11-19 Gene–environment interaction of monoamine oxidase A in relation to antisocial behaviour: current and future directions Nilsson, Kent W. Åslund, Cecilia Comasco, Erika Oreland, Lars J Neural Transm (Vienna) Translational Neurosciences - Review Article Since the pioneering finding of Caspi and co-workers in 2002 that exposure to childhood maltreatment predicted later antisocial behaviour (ASB) in male carriers of the low-activity MAOA-uVNTR allele, frequent replication studies have been published. Two meta-analyses, one in 2006 and the other in 2014, confirmed the original findings by Caspi and co-workers. In the present paper, we review the literature, note some methodological aspects of candidate gene–environment interaction (cG×E) studies and suggest some future directions. Our conclusions are as follows. (1) The direction of the effect in a cG×E model may differ according to the positive and negative environmental background of the population. (2) There is a predictor-intersection problem such that when measuring one type of maltreatment in a person, other kinds of maltreatment often co-occur. Other forms of abuse are implicitly considered in statistical models; therefore, it is difficult to draw conclusions about the effects of timing and the severity of different forms of stressful life events in relation to ASB. (3) There is also an outcome-intersection problem because of the major intersection of ASB and other forms of mental health problems. It is likely that the G×E with MAOA is related to a common unmeasured factor. (4) For the G×E model, in which the effect of the gene on the outcome variable is dependent on other predictor variables, theoretically, hypothesis-driven statistical modelling is needed. Springer Vienna 2018-06-07 2018 /pmc/articles/PMC6224008/ /pubmed/29881923 http://dx.doi.org/10.1007/s00702-018-1892-2 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Translational Neurosciences - Review Article Nilsson, Kent W. Åslund, Cecilia Comasco, Erika Oreland, Lars Gene–environment interaction of monoamine oxidase A in relation to antisocial behaviour: current and future directions |
title | Gene–environment interaction of monoamine oxidase A in relation to antisocial behaviour: current and future directions |
title_full | Gene–environment interaction of monoamine oxidase A in relation to antisocial behaviour: current and future directions |
title_fullStr | Gene–environment interaction of monoamine oxidase A in relation to antisocial behaviour: current and future directions |
title_full_unstemmed | Gene–environment interaction of monoamine oxidase A in relation to antisocial behaviour: current and future directions |
title_short | Gene–environment interaction of monoamine oxidase A in relation to antisocial behaviour: current and future directions |
title_sort | gene–environment interaction of monoamine oxidase a in relation to antisocial behaviour: current and future directions |
topic | Translational Neurosciences - Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6224008/ https://www.ncbi.nlm.nih.gov/pubmed/29881923 http://dx.doi.org/10.1007/s00702-018-1892-2 |
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