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01-10-2015 | Editorial

Current directions in behavioral medicine research on genetic testing for disease susceptibility: introduction to the special section

Authors: Kerry A. Sherman, Linda D. Cameron

Published in: Journal of Behavioral Medicine | Issue 5/2015

Abstract

The aim of this special section is to showcase research contributing to our understanding of factors influencing decisions to undergo genetic testing and the impact of the genetic testing process on health-related behaviors of tested individuals. The first two articles report studies investigating factors associated with interest in genetic testing and acceptance of test results (Sherman et al. in J Behav Med doi:10.1007/s10865-015-9630-9, 2015; Taber et al. in J Behav Med doi:10.1007/s10865-015-9642-5, 2015b). The next two papers address the unique contribution of genetic risk information to understanding risk beyond genetic counseling alone (Heiniger et al. in J Behav Med doi10.1007/s10865-015-9632-7, 2015; Taber et al. in J Behav Med doi:10.1007/s10865-015-9648-z, 2015a). The final three articles investigate the effects of genetic risk information on beliefs about disease control and prevention (Aspinwall et al. in J Behav Med doi:10.1007/s10865-015-9631-8, 2015; Kelly et al. in J Behav Med doi10.1007/s10865-014-9613-2, 2014; Myers et al. in J Behav Med doi:10.1007/s10865-015-9626-5, 2015). Collectively, the special section of papers highlights the diverse ways in which behavioural medicine contributes to our understanding of genetic testing for disease risk, and points to the value of further research to better understand ways in which individuals perceive, interpret and respond to genetic risk information.

Aspinwall, L. G., Stump, T. K., Taber, J. M., Kohlmann, W., Leaf, S. L., & Leachman, S. A. (2015). Impact of melanoma genetic test reporting on perceived control over melanoma prevention. Journal of Behavioral Medicine. doi:10.1007/s10865-015-9631-8.

Barlow-Stewart, K., & Parasivam, G. (2007). DNA genetic testing—screening for genetic conditions and genetic susceptibility [Fact sheet]. In K. Barlow-Stewart, G. Parasivam & Centre for Genetics Education (N.S.W.) (Eds.), The Australasian genetics resource book. St Leonards, N.S.W.: Centre for Genetics Education.

Beachy, S., Olson, S., & Berger, A. (2015). Genomics-enabled learning health care systems: Gathering and using genomic information to improve patient care and research: Workshop summary. Washington, DC: The National Academies Press.

Bozorgmehr, K., Saint, V. A., & Tinnemann, P. (2011). The ‘global health’ education framework: A conceptual guide for monitoring, evaluation and practice. Global Health, 7, 8. doi:10.1186/1744-8603-7-8 PubMedCentralCrossRefPubMed

Bruni, A. C., Conidi, M. E., & Bernardi, L. (2014). Genetics in degenerative dementia: Current status and applicability. Alzheimer’s Disease and Associated Disorders, 28, 199–205. doi:10.1097/WAD.0000000000000046 CrossRef

Burke, W., & Korngiebel, D. M. (2015). Closing the gap between knowledge and clinical application: Challenges for genomic translation. PLoS Genetics, 11, e1004978. doi:10.1371/journal.pgen.1004978 PubMedCentralCrossRefPubMed

Caulfield, T., Ries, N. M., Ray, P. N., Shuman, C., & Wilson, B. (2010). Direct-to-consumer genetic testing: Good, bad or benign? Clinical Genetics, 77, 101–105. doi:10.1111/j.1399-0004.2009.01291.x CrossRefPubMed

Chowdhury, S., Henneman, L., Dent, T., Hall, A., Burton, A., Pharoah, P., & Burton, H. (2015). Do health professionals need additional competencies for stratified cancer prevention based on genetic risk profiling? Journal of Personalized Medicine, 5, 191–212. doi:10.3390/jpm5020191 PubMedCentralCrossRefPubMed

Esplen, M. J., Madlensky, L., Aronson, M., Rothenmund, H., Gallinger, S., Butler, K., & McLaughlin, J. (2007). Colorectal cancer survivors undergoing genetic testing for hereditary non-polyposis colorectal cancer: Motivational factors and psychosocial functioning. Clinical Genetics, 72, 394–401. doi:10.1111/j.1399-0004.2007.00893.x CrossRefPubMed

Heiniger, L., Butow, P. N., Charles, M., kConFab Psychosocial Group on behalf of the kConFab Investigators., & Price, M. A. (2015). Intuition versus cognition: A qualitative exploration of how women understand and manage their increased breast cancer risk. Journal of Behavioral Medicine. doi:10.1007/s10865-015-9632-7.PubMed

Karageorgos, I., Mizzi, C., Giannopoulou, E., Pavlidis, C., Peters, B. A., Zagoriti, Z., & Patrinos, G. P. (2015). Identification of cancer predisposition variants in apparently healthy individuals using a next-generation sequencing-based family genomics approach. Human Genomics, 9, 12. doi:10.1186/s40246-015-0034-2 PubMedCentralCrossRefPubMed

Kelly, K. M., Ellington, L., Schoenberg, N., Jackson, T., Dickinson, S., Porter, K., Leventhal, H., & Andrykowski, M. (2014). Genetic counseling content: How does it impact health behavior? Journal of Behavioral Medicine. doi:10.1007/s10865-014-9613-2.PubMed

Lee, J. U., Kim, J. D., & Park, C. S. (2015). Gene-environment interactions in asthma: Genetic and epigenetic effects. Yonsei Medical Journal, 56, 877–886. doi:10.3349/ymj.2015.56.4.877 PubMedCentralCrossRefPubMed

Lund, P. M., & Gaigher, R. (2002). A health intervention programme for children with albinism at a special school in South Africa. Health Education and Research, 17, 365–372.CrossRef

Myers, R. E., Ruth, K., Manne, S. L., Cocroft, J., Sifri, R., Ziring, B., Burgh, D., Ross, E., & Weinberg, D. S. (2015). Effects of genetic and environmental risk assessment feedback on colorectal cancer screening adherence. Journal of Behavioral Medicine. doi:10.1007/s10865-015-9626-5.PubMed

McBride, C. M., Birmingham, W. C., & Kinney, A. Y. (2015). Health psychology and translational genomic research: Bringing innovation to cancer-related behavioral interventions. American Psychologist, 70, 91–104. doi:10.1037/a0036568 CrossRefPubMed

McBride, S. R., & Leppard, B. J. (2002). Attitudes and beliefs of an albino population toward sun avoidance: Advice and services provided by an outreach albino clinic in Tanzania. Archives of Dermatology, 138, 629–632.CrossRefPubMed

Minkler, M., & Wallerstein, N. (2011). Community-based participatory research for health: From process to outcomes. San Francisco, CA: Jossey-Bass.

National Health and Medical Research Council. (2012). Direct-to-consumer DNA genetic testing: An information resource for consumers. Retrieved from https://www.nhmrc.gov.au/guidelines-publications/ps4

National Institutes of Health. (2013). Confused by genetic tests? NIH’s new online tool may help. http://www.nih.gov/news/health/feb2012/od-29.htm

Ostergren, J. E., Gornick, M. C., Carere, D. A., Kalia, S. S., Uhlmann, W. R., Ruffin, M. T., & Roberts, J. S. (2015). How well do customers of direct-to-consumer personal genomic testing services comprehend genetic test results? Findings from the Impact of Personal Genomics Study. Public Health Genomics, 1, 182–200. doi:10.1159/000431250

Patenaude, A. F. (2005). Genetic testing for cancer: Psychological approaches for helping patients and families. Washington, DC: American Psychological Association.CrossRef

Sherman, K., Shaw, L.-K., Champion, K., Caldeira, F., & McCaskill, M. (2015). The effect of disease risk probability and disease type on interest in clinic-based versus direct-to-consumer genetic testing services. Journal of Behavioral Medicine. doi:10.1007/s10865-015-9630-9.

Taber, J. M., Aspinwall, L. G., Stump, T. K., Kohlmann, W., Champine, M., & Leachman S. A. (2015a). Genetic test reporting enhances understanding of risk information and acceptance of prevention recommendations compared to family history-based counseling alone. Journal of Behavioral Medicine. doi:10.1007/s10865-015-9648-z.

Taber, J. M., Klein, W. M. P., Ferrer, R. A., Han, P. K. J., Lewis, K. L., Biesecker, L. G., & Biesecker, B. B. (2015b). Perceived ambiguity as a barrier to intentions to learn genome sequencing results. Journal of Behavioral Medicine. doi:10.1007/s10865-015-9642-5.

Talmud, P., Hingorani, A., Cooper, J., Marmot, M., Brunner, E., Kumari, M., & Humphries, S. (2010). Utility of genetic and non-genetic risk factors in prediction of type 2 diabetes: Whitehall II prospective cohort study. The British Medical Journal, 340, 1–10.CrossRef

Waalen, J., & Beutler, E. (2009). Genetic screening for low-penetrance variants in protein-coding genes. Annual Review of Genomics and Human Genetics, 10, 431–450. doi:10.1146/annurev.genom.9.081307.164255 CrossRefPubMed

Williams, S., & Javitt, G. (2008). Direct-to-consumer genetic testing: Empowering or endangering the public? [Issue brief]. Washington, DC: Genetics and Public Policy Center.

Williams, S. M., & Tishkoff, S. A. (2011). Exploring genomic studies in Africa. Genome Medicine, 3, 45. doi:10.1186/gm261 PubMedCentralCrossRefPubMed

Wilson, B. J., & Nicholls, S. G. (2015). The Human Genome Project, and recent advances in personalized genomics. Risk Management and Healthcare Policy, 8, 9–20. doi:10.2147/RMHP.S58728 PubMedCentralCrossRefPubMed

Title: Current directions in behavioral medicine research on genetic testing for disease susceptibility: introduction to the special section
Authors: Kerry A. Sherman
Linda D. Cameron
Publication date: 01-10-2015
Publisher: Springer US
Published in: Journal of Behavioral Medicine / Issue 5/2015
Print ISSN: 0160-7715
Electronic ISSN: 1573-3521
DOI: https://doi.org/10.1007/s10865-015-9674-x

At a glance: The STEP trials

Springer Medicine

Current directions in behavioral medicine research on genetic testing for disease susceptibility: introduction to the special section

Abstract

At a glance: The STEP trials

Springer Medicine

Abstract

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Retraction Note to: Preference for immediate reinforcement over delayed reinforcement: relation between delay discounting and health behavior

Impact of melanoma genetic test reporting on perceived control over melanoma prevention

Measuring health-related problem solving among African Americans with multiple chronic conditions: application of Rasch analysis

The effect of disease risk probability and disease type on interest in clinic-based versus direct-to-consumer genetic testing services

Modeling predictors of changes in glycemic control and diabetes-specific quality of life amongst adults with type 1 diabetes 1 year after structured education in flexible, intensive insulin therapy

Intuition versus cognition: a qualitative exploration of how women understand and manage their increased breast cancer risk