Sonstiges: |
- Nachgewiesen in: MEDLINE
- Sprachen: English
- Publication Type: Journal Article; Research Support, Non-U.S. Gov't
- Language: English
- [Am J Med Genet B Neuropsychiatr Genet] 2021 Sep; Vol. 186 (6), pp. 341-352. <i>Date of Electronic Publication: </i>2021 Sep 25.
- MeSH Terms: Mental Disorders* / genetics ; Mental Health* ; Attitude ; Child ; Genetic Counseling ; Genetic Predisposition to Disease ; Genetic Testing ; Humans ; United States
- References: Austin, J., Smith, G. N., & Honer, W. G. (2006). The genomic era and perceptions of psychotic disorders: Genetic risk estimation, associations with reproductive decisions and views about predictive testing. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 141, 926-928. ; Austin, J. C. (2020). Evidence-based genetic counseling for psychiatric disorders: A road map. Cold Spring Harbor Perspectives in Medicine, 10, a036608. ; Barlow, F. K. (2019). Nature vs. nurture is nonsense: On the necessity of an integrated genetic, social, developmental, and personality psychology. Australian Journal of Psychology, 71, 68-79. ; Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67, 1-48. ; Carver, R. B., Castéra, J., Gericke, N., Evangelista, N. A. M., & El-Hani, C. N. (2017). Young adults' belief in genetic determinism, and knowledge and attitudes towards modern genetics and genomics: The PUGGS questionnaire. PLoS One, 12, e0169808. ; Chapman, R., Likhanov, M., Selita, F., Zakharov, I., Smith-Woolley, E., & Kovas, Y. (2019). New literacy challenge for the twenty-first century: Genetic knowledge is poor even among well educated. Journal of Community Genetics, 10, 73-84. ; Doukas, D. J., Localio, A. R., & Li, Y. (2004). Attitudes and beliefs concerning prostate cancer genetic screening. Clinical Genetics, 66, 445-451. ; Flatau, L., Reitt, M., Duttge, G., Lenk, C., Zoll, B., Poser, W., … Strohmaier, J. (2018). Genomic information and a person's right not to know: A closer look at variations in hypothetical informational preferences in a German sample. PLoS One, 13, e0198249. ; Folkersen, L., Pain, O., Ingason, A., Werge, T., Lewis, C. M., & Austin, J. (2020). Impute. Me: An open-source, non-profit tool for using data from direct-to-consumer genetic testing to calculate and interpret polygenic risk scores. Frontiers in Genetics, 11, 578. ; Haslam, N., & Kvaale, E. P. (2015). Biogenetic explanations of mental disorder: The mixed-blessings model. Current Directions in Psychological Science, 24, 399-404. ; Hosmer, D. W., Lemeshow, S., & Sturdivant, R. X. (2013). Assessing the fit of the model. In ProQuest (Ed.), Applied logistic regression. Hoboken, NJ: Wiley. ; Inglis, A., Koehn, D., McGillivray, B., Stewart, S. E., & Austin, J. (2015). Evaluating a unique, specialist psychiatric genetic counseling clinic: Uptake and impact. Clinical Genetics, 87, 218-224. ; Jallinoja, P., & Aro, A. R. (1999). Knowledge about genes and heredity among Finns. New Genetics and Society, 18, 101-110. ; Kvaale, E. P., Gottdiener, W. H., & Haslam, N. (2013). Biogenetic explanations and stigma: A meta-analytic review of associations among laypeople. Social Science & Medicine, 96, 95-103. ; Kvaale, E. P., Haslam, N., & Gottdiener, W. H. (2013). The ‘side effects’ of medicalization: A meta-analytic review of how biogenetic explanations affect stigma. Clinical Psychology Review, 33, 782-794. ; Laegsgaard, M. M., & Mors, O. (2008). Psychiatric genetic testing: Attitudes and intentions among future users and providers. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 147, 375-384. ; Lebowitz, M. S., & Ahn, W.-K. (2017). Testing positive for a genetic predisposition to depression magnifies retrospective memory for depressive symptoms. Journal of Consulting and Clinical Psychology, 85, 1052-1063. ; Lent, M. R., Hoffman, S. N., Kirchner, H. L., Urosevich, T. G., Boscarino, J. J., & Boscarino, J. A. (2017). Attitudes about future genetic testing for posttraumatic stress disorder and addiction among community-based veterans. Frontiers in Psychiatry, 8, 76. ; Lewis, C. M., & Vassos, E. (2020). Polygenic risk scores: From research tools to clinical instruments. Genome Medicine, 12, 1-11. ; Lynch, K. E., Morandini, J. S., Dar-Nimrod, I., & Griffiths, P. E. (2019). Causal reasoning about human behavior genetics: Synthesis and future directions. Behavior Genetics, 49, 221-234. ; Meiser, B., Guo, X. Y., Putt, S., Fullerton, J. M., Schofield, P. R., Mitchell, P. B., & Yanes, T. (2020). Psychosocial implications of living with familial risk of a psychiatric disorder and attitudes to psychiatric genetic testing: A systematic review of the literature. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 183, 277-288. ; Molster, C., Charles, T., Samanek, A., & O'Leary, P. (2009). Australian study on public knowledge of human genetics and health. Public Health Genomics, 12, 84-91. ; Morosoli, J. J., Colodro-Conde, L., Barlow, F., & Medland, S. (2019). Public understanding of behavioral genetics: Integrating heuristic thinking, motivated reasoning and planned social change theories for better communication strategies. Behavior Genetics, 49, 469-477. ; Morosoli, J. J., Colodro-Conde, L., Barlow, F. K., & Medland, S. E. (2020). Understanding science communication in human genetics using text mining. bioRxiv, 2020.2007.2024.219683. https://doi.org/10.1101/2020.07.24.219683. ; Morris, E., Batallones, R., Ryan, J., Slomp, C., Carrion, P., Albert, A., & Austin, J. (2021). Psychiatric genetic counseling for serious mental illness: Impact on psychopathology and psychotropic medication adherence. Psychiatry Research, 296, 113663. ; Palan, S., & Schitter, C. (2018). Prolific.ac-A subject pool for online experiments. Journal of Behavioral and Experimental Finance, 17, 22-27. ; Peters, S. A., Laham, S. M., Pachter, N., & Winship, I. M. (2014). The future in clinical genetics: Affective forecasting biases in patient and clinician decision making. Clinical Genetics, 85, 312-317. ; Polderman, T. J., Benyamin, B., De Leeuw, C. A., Sullivan, P. F., Van Bochoven, A., Visscher, P. M., & Posthuma, D. (2015). Meta-analysis of the heritability of human traits based on fifty years of twin studies. Nature Genetics, 47, 702-709. ; R Core Team. (2020). R: A language and environment for statistical computing. Viena: R Foundation for Statistical Computing. ; Read, J., Cartwright, C., Gibson, K., Shiels, C., & Haslam, N. (2014). Beliefs of people taking antidepressants about causes of depression and reasons for increased prescribing rates. Journal of Affective Disorders, 168, 236-242. ; Tate, K. (2013). An investigation into the effect of causal beliefs about depression on attitudes and clinical judgements. Canterbury, England: Canterbury Christ Church University. ; Wilde, A., Meiser, B., Mitchell, P. B., Hadzi-Pavlovic, D., & Schofield, P. R. (2011). Community interest in predictive genetic testing for susceptibility to major depressive disorder in a large national sample. Psychological Medicine, 41, 1605-1613. ; Willoughby, E. A., Love, A. C., McGue, M., Iacono, W. G., Quigley, J., & Lee, J. J. (2019). Free will, determinism, and intuitive judgments about the heritability of behavior. Behavior Genetics, 49, 136-153. ; Wright, M. J., & Martin, N. G. (2004). Brisbane adolescent twin study: Outline of study methods and research projects. Australian Journal of Psychology, 56, 65-78.
- Contributed Indexing: Keywords: attitudes; genetic literacy; genetic testing; public understanding of genetics
- Entry Date(s): Date Created: 20210925 Date Completed: 20220113 Latest Revision: 20220113
- Update Code: 20231215
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