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      Attitudes towards genetic testing: The role of genetic literacy, motivated cognition, and socio-demographic characteristics

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          Abstract

          Understanding reasons for why people choose to have or not to have a genetic test is essential given the ever-increasing use of genetic technologies in everyday life. The present study explored the multiple drivers of people’s attitudes towards genetic testing. Using the International Genetic Literacy and Attitudes Survey (iGLAS), we collected data on: (1) willingness to undergo testing; (2) genetic literacy; (3) motivated cognition; and (4) demographic and cultural characteristics. The 37 variables were explored in the largest to-date sample of 4311 participants from diverse demographic and cultural backgrounds. The results showed that 82% of participants were willing to undergo genetic testing for improved treatment; and over 73%—for research. The 35 predictor variables together explained only a small proportion of variance: 7%—in the willingness to test for Treatment; and 6%—for Research. The strongest predictors of willingness to undergo genetic testing were genetic knowledge and deterministic beliefs. Concerns about data misuse and about finding out unwanted health-related information were weakly negatively associated with willingness to undergo genetic testing. We also found some differences in factors linked to attitudes towards genetic testing across the countries included in this study. Our study demonstrates that decision-making regarding genetic testing is influenced by a large number of potentially interacting factors. Further research into these factors may help consumers to make decisions regarding genetic testing that are right for their specific circumstances.

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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

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: VisualizationRole: Writing – original draft
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: VisualizationRole: Writing – original draft
                Role: InvestigationRole: Writing – review & editing
                Role: Data curationRole: Writing – review & editing
                Role: Writing – review & editing
                Role: ConceptualizationRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Project administrationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                15 November 2023
                2023
                : 18
                : 11
                : e0293187
                Affiliations
                [1 ] State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
                [2 ] Ural Federal University Named after the First President of Russia B. N. Yeltsin, Yekaterinburg, Russia
                [3 ] Psychological Institute of Russian Academy of Education, Moscow, Russia
                [4 ] Department of Biological Sciences, Tai Solarin University of Education, Ijebu-Ode, Nigeria
                [5 ] Department of Psychology, Goldsmiths, University of London, London, United Kingdom
                School of Medicine, University of California-Davis, UNITED STATES
                Author notes

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

                Author information
                https://orcid.org/0000-0003-3145-6011
                https://orcid.org/0000-0001-7995-7021
                https://orcid.org/0000-0002-1696-1514
                Article
                PONE-D-23-12011
                10.1371/journal.pone.0293187
                10651000
                37967060
                556307f0-e9a1-418a-8fd1-19e85885e6bf
                © 2023 Likhanov 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
                : 25 April 2023
                : 26 September 2023
                Page count
                Figures: 1, Tables: 7, Pages: 20
                Funding
                The author(s) received no specific funding for this work.
                Categories
                Research Article
                Medicine and Health Sciences
                Clinical Genetics
                Genetic Testing
                Biology and Life Sciences
                Genetics
                Genomics
                Genomic Medicine
                Genetic Testing
                Biology and Life Sciences
                Genetics
                Human Genetics
                Genetic Testing
                Biology and Life Sciences
                Genetics
                Biology and Life Sciences
                Genetics
                Genetics of Disease
                Social Sciences
                Anthropology
                Cultural Anthropology
                Religion
                Social Sciences
                Sociology
                Religion
                Biology and Life Sciences
                Psychology
                Psychological Attitudes
                Social Sciences
                Psychology
                Psychological Attitudes
                Biology and Life Sciences
                Genetics
                Human Genetics
                Medicine and Health Sciences
                Clinical Genetics
                People and Places
                Geographical Locations
                Asia
                Russia
                People and Places
                Geographical Locations
                Europe
                Russia
                Custom metadata
                The script used for analyses is available on osf ( https://osf.io/nex76/) (DOI: 10.17605/OSF.IO/NEX76).

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                Uncategorized

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