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      Persistence and innovation effects in genetic and environmental factors in negative emotionality during infancy: A twin study

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          Abstract

          Background

          Difficult temperament in infancy is a risk factor for forms of later internalizing and externalizing psychopathology, including depression and anxiety. A better understanding of the roots of difficult temperament requires assessment of its early development with a genetically informative design. The goal of this study was to estimate genetic and environmental contributions to individual differences in infant negative emotionality, their persistence over time and their influences on stability between 5 and 18 months of age.

          Method

          Participants were 244 monozygotic and 394 dizygotic twin pairs (49.7% male) recruited from birth. Mothers rated their twins for negative emotionality at 5 and 18 months. Longitudinal analysis of stability and innovation between the two time points was performed in Mplus.

          Results

          There were substantial and similar heritability (approximately 31%) and shared environmental (57.3%) contributions to negative emotionality at both 5 and 18 months. The trait’s interindividual stability across time was both genetically- and environmentally- mediated. Evidence of innovative effects (i.e., variance at 18 months independent from variance at 5 months) indicated that negative emotionality is developmentally dynamic and affected by persistent and new genetic and environmental factors at 18 months.

          Conclusions

          In the first two years of life, ongoing genetic and environmental influences support temperamental negative emotionality but new genetic and environmental factors also indicate dynamic change of those factors across time. A better understanding of the source and timing of factors on temperament in early development, and role of sex, could improve efforts to prevent related psychopathology.

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          Most cited references49

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          Positive and negative affectivity and their relation to anxiety and depressive disorders.

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            Moving toward System Genetics through Multiple Trait Analysis in Genome-Wide Association Studies

            Association studies are a staple of genotype–phenotype mapping studies, whether they are based on single markers, haplotypes, candidate genes, genome-wide genotypes, or whole genome sequences. Although genetic epidemiological studies typically contain data collected on multiple traits which themselves are often correlated, most analyses have been performed on single traits. Here, I review several methods that have been developed to perform multiple trait analysis. These methods range from traditional multivariate models for systems of equations to recently developed graphical approaches based on network theory. The application of network theory to genetics is termed systems genetics and has the potential to address long-standing questions in genetics about complex processes such as coordinate regulation, homeostasis, and pleiotropy.
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              Sexual dimorphism in environmental epigenetic programming.

              The phenotype of an individual is the result of complex interactions between genotype and current, past and ancestral environment leading to a lifelong remodelling of our epigenomes. The vast majority of common diseases, including atherosclerosis, diabetes, osteoporosis, asthma, neuropsychological and autoimmune diseases, which often take root in early development, display some degree of sex bias, very marked in some cases. This bias could be explained by the role of sex chromosomes, the different regulatory pathways underlying sexual development of most organs and finally, lifelong fluctuating impact of sex hormones. A substantial proportion of dimorphic genes expression might be under the control of sex-specific epigenetic marks. Environmental factors such as social behaviour, nutrition or chemical compounds can influence, in a gender-related manner, these flexible epigenetic marks during particular spatiotemporal windows of life. Thus, finely tuned developmental program aspects, for each sex, may be more sensitive to specific environmental challenges, particularly during developmental programming and gametogenesis, but also throughout the individual's life under the influence of sex steroid hormones and/or sex chromosomes. An unfavourable programming could thus lead to various defects and different susceptibility to diseases between males and females. Recent studies suggest that this epigenetic programming could be sometimes transmitted to subsequent generations in a sex-specific manner and lead to transgenerational effects (TGEs). This review summarizes the current understanding in the field of epigenetic programming and highlights the importance of studying both sexes in epidemiological protocols or dietary interventions both in humans and in experimental animal models.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                27 April 2017
                2017
                : 12
                : 4
                : e0176601
                Affiliations
                [1 ]Department of Psychology, Queen’s University, Kingston, Canada
                [2 ]School of Psychology, University of Laval, Quebec, Canada
                [3 ]Institute of Genetic, Neurobiological and Social Foundations of Child Development, Tomsk State University, Tomsk, Russian Federation
                [4 ]Department of Sociology, University of Montreal, Montreal, Canada
                [5 ]CHU Sainte-Justine Research Centre, Montreal, Canada
                [6 ]Department of Psychology, UQAM, Montreal, Canada
                [7 ]Department of Psycho-education, University of Montreal, Montreal, Canada
                [8 ]Department of Pediatrics and Psychology, University of Montreal, Montreal, Canada
                [9 ]School of Public Health, Physiotherapy and Population Science, University College Dublin, Dublin, Ireland
                [10 ]Department of Psychology, Concordia University, Montreal, Canada
                Vanderbilt University, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: M. Boivin EL M. Brendgen FV GD RT LB.

                • Formal analysis: LS SP EL LB.

                • Funding acquisition: M. Boivin RT.

                • Methodology: M. Boivin EL M. Brendgen FV GD RT LB.

                • Supervision: M. Boivin EL LB.

                • Visualization: LS SP.

                • Writing – original draft: LS SP LB.

                • Writing – review & editing: M. Boivin EL M. Brendgen FV GD RT.

                Author information
                http://orcid.org/0000-0003-3984-6954
                Article
                PONE-D-16-14220
                10.1371/journal.pone.0176601
                5407782
                28448561
                0e6f571f-fd44-4f52-b898-39ef5091d153
                © 2017 Schumann et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 7 April 2016
                : 13 April 2017
                Page count
                Figures: 3, Tables: 4, Pages: 16
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100005304, Agence Nationale pour le Développement de la Recherche en Santé;
                Funded by: The Quebec Ministry of Health and Services
                Funded by: funder-id http://dx.doi.org/10.13039/501100000155, Social Sciences and Humanities Research Council of Canada;
                Funded by: The Quebec Fund for Research Training and Support to Research
                Funded by: The Quebec Council for Social Research
                Funded by: The Quebec Health Research Fund
                Funded by: funder-id http://dx.doi.org/10.13039/501100000024, Canadian Institutes of Health Research;
                Funded by: funder-id http://dx.doi.org/10.13039/501100001804, Canada Research Chairs;
                This work was supported by grants from the National Health Research Development Program of Canada; the Quebec Ministry of Health and Services; The Social Sciences and Humanities Research Council of Canada; the Quebec Fund for research training and support to research (FCAR); the Quebec Council for Social Research; the Quebec Health Research Fund (FRSQ); a Canadian Institute for Health research (CIHR) Frederick Banting and Charles Best Canada Graduate Scholarship (Doctoral Award; Lyndall Schumann); a CIHR New Investigator Award (Linda Booij); and a Canada Research Chair Award (Michel Boivin). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Developmental Biology
                Twins
                Biology and Life Sciences
                Genetics
                Human Genetics
                People and Places
                Population Groupings
                Age Groups
                Children
                Infants
                People and Places
                Population Groupings
                Families
                Children
                Infants
                Biology and Life Sciences
                Genetics
                Genetic Dominance
                Biology and Life Sciences
                Behavior
                Research and Analysis Methods
                Computational Techniques
                Biometrical Genetics
                Research and Analysis Methods
                Research Design
                Twin Studies
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Mood Disorders
                Depression
                Custom metadata
                The appendices contain full correlation matrices with means and standard deviations for all groups, allowing the data to be replicated.

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                Uncategorized

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