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      Quantifying the heritability of belief formation

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          Abstract

          Individual differences in behaviour, traits and mental-health are partially heritable. Traditionally, studies have focused on quantifying the heritability of high-order characteristics, such as happiness or education attainment. Here, we quantify the degree of heritability of lower-level mental processes that likely contribute to complex traits and behaviour. In particular, we quantify the degree of heritability of cognitive and affective factors that contribute to the generation of beliefs about risk, which drive behavior in domains ranging from finance to health. Monozygotic and dizygotic twin pairs completed a belief formation task. We first show that beliefs about risk are associated with vividness of imagination, affective evaluation and learning abilities. We then demonstrate that the genetic contribution to individual differences in these processes range between 13.5 and 39%, with affect evaluation showing a particular robust heritability component. These results provide clues to which mental factors may be driving the heritability component of beliefs formation, which in turn contribute to the heritability of complex traits.

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          Most cited references39

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          Availability: A heuristic for judging frequency and probability

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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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              Genetic Epidemiology of Major Depression: Review and Meta-Analysis

              The authors conducted a meta-analysis of relevant data from primary studies of the genetic epidemiology of major depression.
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                Author and article information

                Contributors
                vellaniuni@gmail.com
                t.sharot@ucl.ac.uk
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                12 July 2022
                12 July 2022
                2022
                : 12
                : 11833
                Affiliations
                [1 ]GRID grid.83440.3b, ISNI 0000000121901201, Affective Brain Lab, Department of Experimental Psychology, , University College London, ; London, WC1H 0AP UK
                [2 ]GRID grid.83440.3b, ISNI 0000000121901201, The Max Planck UCL Centre for Computational Psychiatry and Ageing Research, , University College London, ; London, WC1B 5EH UK
                [3 ]GRID grid.8273.e, ISNI 0000 0001 1092 7967, School of Psychology, , University of East Anglia, Norwich Research Park, ; Norwich, NR4 7TJ UK
                [4 ]GRID grid.83440.3b, ISNI 0000000121901201, Developmental Risk and Resilience Unit, Department of Experimental Psychology, , University College London, ; London, WC1H 0AP UK
                [5 ]GRID grid.8385.6, ISNI 0000 0001 2297 375X, Institute of Neuroscience and Medicine (INM-7), , Forschungszentrum Jülich, ; Jülich, Germany
                [6 ]GRID grid.411327.2, ISNI 0000 0001 2176 9917, Institute of Systems Neuroscience, Medical Faculty, , Heinrich Heine University Düsseldorf, ; Düsseldorf, Germany
                [7 ]GRID grid.116068.8, ISNI 0000 0001 2341 2786, Department of Brain and Cognitive Sciences, , Massachusetts Institute of Technology, ; Cambridge, MA USA
                Article
                15492
                10.1038/s41598-022-15492-0
                9276818
                35821231
                f0eb4eec-5b65-4f46-9ca0-2e59270419e5
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 13 August 2021
                : 24 June 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100010269, Wellcome Trust;
                Award ID: 209108/Z/17/Z
                Award ID: 214268/Z/18/Z
                Award Recipient :
                Funded by: MRC
                Award ID: MR/N 013867/1
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2022

                Uncategorized
                behavioural genetics,cognitive neuroscience,human behaviour
                Uncategorized
                behavioural genetics, cognitive neuroscience, human behaviour

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