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      Etiology in psychiatry: embracing the reality of poly-gene-environmental causation of mental illness

      1 , 1
      World Psychiatry
      Wiley

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          Abstract

          Intriguing findings on genetic and environmental causation suggest a need to reframe the etiology of mental disorders. Molecular genetics shows that thousands of common and rare genetic variants contribute to mental illness. Epidemiological studies have identified dozens of environmental exposures that are associated with psychopathology. The effect of environment is likely conditional on genetic factors, resulting in gene-environment interactions. The impact of environmental factors also depends on previous exposures, resulting in environment-environment interactions. Most known genetic and environmental factors are shared across multiple mental disorders. Schizophrenia, bipolar disorder and major depressive disorder, in particular, are closely causally linked. Synthesis of findings from twin studies, molecular genetics and epidemiological research suggests that joint consideration of multiple genetic and environmental factors has much greater explanatory power than separate studies of genetic or environmental causation. Multi-factorial gene-environment interactions are likely to be a generic mechanism involved in the majority of cases of mental illness, which is only partially tapped by existing gene-environment studies. Future research may cut across psychiatric disorders and address poly-causation by considering multiple genetic and environmental measures across the life course with a specific focus on the first two decades of life. Integrative analyses of poly-causation including gene-environment and environment-environment interactions can realize the potential for discovering causal types and mechanisms that are likely to generate new preventive and therapeutic tools.

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          Most cited references60

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          Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010

          The Lancet, 382(9904), 1575-1586
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            Despite the potential importance of understanding excess mortality among people with mental disorders, no comprehensive meta-analyses have been conducted quantifying mortality across mental disorders.
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              Meta-analysis of the heritability of human traits based on fifty years of twin studies.

              Despite a century of research on complex traits in humans, the relative importance and specific nature of the influences of genes and environment on human traits remain controversial. We report a meta-analysis of twin correlations and reported variance components for 17,804 traits from 2,748 publications including 14,558,903 partly dependent twin pairs, virtually all published twin studies of complex traits. Estimates of heritability cluster strongly within functional domains, and across all traits the reported heritability is 49%. For a majority (69%) of traits, the observed twin correlations are consistent with a simple and parsimonious model where twin resemblance is solely due to additive genetic variation. The data are inconsistent with substantial influences from shared environment or non-additive genetic variation. This study provides the most comprehensive analysis of the causes of individual differences in human traits thus far and will guide future gene-mapping efforts. All the results can be visualized using the MaTCH webtool.
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                Author and article information

                Journal
                World Psychiatry
                World Psychiatry
                Wiley
                17238617
                June 2017
                June 2017
                May 12 2017
                : 16
                : 2
                : 121-129
                Affiliations
                [1 ]Departments of Psychiatry and Pathology; Dalhousie University; Halifax B3H 2E2 Nova Scotia Canada
                Article
                10.1002/wps.20436
                5428165
                28498595
                7b90f2d0-8b7c-44ea-a4ee-41ea4fe8ef24
                © 2017

                http://doi.wiley.com/10.1002/tdm_license_1

                http://onlinelibrary.wiley.com/termsAndConditions

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