ABSTRACT
Although single nucleotide polymorphism (SNP) testing for disease susceptibility is commercially available, translational studies are necessary to understand how to communicate genomic information and potential implications for public health. We explored attitudes about and initial responses to genomic testing for colon cancer risk. Following development of the educational materials, we offered testing for three colon cancer SNPs in a pilot study with primary care patients. Participants completed pre- and post-test sessions and interviews. We analyzed interview transcripts with qualitative software using thematic analysis. All 20 participants opted for SNP testing. Qualitative analysis identified several themes: Motivations for SNP Testing, Before/After: Meaning of Results, Emotional Responses to SNP Results, and Genomic Literacy/Information Delivery. Results demonstrate that individuals will pursue SNP testing in the context of pre- and post-test education. SNP results may influence health behaviors like healthy eating and exercise yet did not appear to impact colon cancer screening intentions.
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Freedman ML, Monteiro AN, Gayther SA, et al. Principles for the post-GWAS functional characterization of cancer risk loci. Nat Genet. 2011; 43:513-518.
McBride CM, Wade CH, Kaphingst KA. Consumers' views of direct-to-consumer genetic information. Annu Rev Genomics Hum Genet. 2010; 11:427-446.
Borry P, Cornel MC, Howard HC. Where are you going, where have you been: a recent history of the direct-to-consumer genetic testing market. J Community Genet. 2010; 1:101-106.
Evans JP, Berg JS. Next-generation DNA sequencing, regulation, and the limits of paternalism: the next challenge. JAMA. 2011; 306:2376-2377.
McBride CM, Bowen D, Brody LC, et al. Future health applications of genomics: priorities for communication, behavioral, and social sciences research. Am J Prev Med. 2010; 38:556-565.
Bloss CS, Schork NJ, Topol EJ. Effect of direct-to-consumer genomewide profiling to assess disease risk. N Engl J Med. 2011; 364:524-534.
Khoury MJ, Gwinn M, Yoon PW, Dowling N, Moore CA, Bradley L. The continuum of translation research in genomic medicine: how can we accelerate the appropriate integration of human genome discoveries into health care and disease prevention? Genet Med. 2007; 9:665-674.
McBride CM, Alford SH, Reid RJ, Larson EB, Baxevanis AD, Brody LC. Putting science over supposition in the arena of personalized genomics. Nat Genet. 2008; 40:939-942.
Grosse SD, Khoury MJ. What is the clinical utility of genetic testing? Genet Med. 2006; 8:448-450.
Hunter DJ, Khoury MJ, Drazen JM. Letting the genome out of the bottle—will we get our wish? N Engl J Med. 2008; 358:105-107.
Janssens AC, Gwinn M, Bradley LA, Oostra BA, van Duijn CM, Khoury MJ. A critical appraisal of the scientific basis of commercial genomic profiles used to assess health risks and personalize health interventions. Am J Hum Genet. 2008; 82:593-599.
Swan M. Multigenic condition risk assessment in direct-to-consumer genomic services. Genet Med. 2010; 12:279-288.
Leighton JW, Valverde K, Bernhardt BA. The general public's understanding and perception of direct-to-consumer genetic test results. Public Health Genomics. 2012; 15:11-21.
Stack CB, Gharani N, Gordon ES, Schmidlen T, Christman MF, Keller MA. Genetic risk estimation in the Coriell Personalized Medicine Collaborative. Genet Med. 2011; 13:131-139.
McGuire AL, Diaz CM, Wang T, Hilsenbeck SG. Social networkers' attitudes toward direct-to-consumer personal genome testing. Am J Bioeth. 2009; 9:3-10.
Goldsmith L, Jackson L, O'Connor A, Skirton H. Direct-to-consumer genomic testing: systematic review of the literature on user perspectives. Eur J Hum Genet. 2012. doi:10.1038/ejhg.2012.18.
Bloss CS, Ornowski L, Silver E, et al. Consumer perceptions of direct-to-consumer personalized genomic risk assessments. Genet Med. 2010; 12:556-566.
McGowan ML, Fishman JR, Lambrix MA. Personal genomics and individual identities: motivations and moral imperatives of early users. New Genet Soc. 2010; 29:261-290.
Kaufman DJ, Bollinger JM, Dvoskin RL, Scott JA. Risky business: risk perception and the use of medical services among customers of DTC personal genetic testing. J Genet Couns. 2012. doi:10.1007/s10897-012-9483-0.
Coriell Personalized Medicine Collaborative. Available at http://cpmc.coriell.org/. Accessed 26 Jan 2012.
The Multiplex Initiative. Available at https://www.multiplex.nih.gov/. Accessed 26 Jan 2012.
Facio FM, Brooks S, Loewenstein J, Green S, Biesecker LG, Biesecker BB. Motivators for participation in a whole-genome sequencing study: implications for translational genomics research. Eur J Hum Genet. 2011; 19:1213-1217.
Gollust SE, Gordon ES, Zayac C, et al. Motivations and perceptions of early adopters of personalized genomics: perspectives from research participants. Public Health Genomics. 2012; 15:22-30.
O'Daniel JM, Haga SB, Willard HF. Considerations for the impact of personal genome information: a study of genomic profiling among genetics and genomics professionals. J Genet Couns. 2010; 19:387-401.
Gordon ES, Griffin G, Wawak L, Pang H, Gollust SE, Bernhardt BA. “It's not like Judgment Day”: public understanding of and reactions to personalized genomic risk information. J Genet Couns. 2011. doi:10.1007/s10897-011-9476-4.
Kaphingst KA, McBride CM, Wade C, et al. Patients' understanding of and responses to multiplex genetic susceptibility test results. Genet Med. 2012. doi:10.1038/gim.2012.22.
Marteau TM, French DP, Griffin SJ, et al. Effects of communicating DNA-based disease risk estimates on risk-reducing behaviours. Cochrane Database Syst Rev. 2010; CD007275.
National Cancer Institute. Variant GPS. SNPT500Cancer. Available at http://variantgps.nci.nih.gov/cgfseq/pages/snp500.do. Accessed 1 Dec 2011.
Marteau TM, Dormandy E, Michie S. A measure of informed choice. Health Expect. 2001; 4:99-108.
Michie S, Dormandy E, Marteau TM. Informed choice: understanding knowledge in the context of screening uptake. Patient Educ Couns. 2003; 50:247-253.
Cameron L, Leventhal H, eds. The self-regulation of health and illness behaviour. London: Routledge; 2003.
Marteau TM, Weinman J. Self-regulation and the behavioural response to DNA risk information: a theoretical analysis and framework for future research. Soc Sci Med. 2006; 62:1360-1368.
Robson ME, Storm CD, Weitzel J, Wollins DS, Offit K. American Society of Clinical Oncology. American Society of Clinical Oncology policy statement update: genetic and genomic testing for cancer susceptibility. J Clin Oncol. 2010; 28:893-901.
Han PK, Klein WM, Arora NK. Varieties of uncertainty in health care: a conceptual taxonomy. Medical Decis Making. 2011; 31:828-838.
Camerer C, Weber M. Recent developments in modeling preferences: uncertainty and ambiguity. J Risk Uncertain. 1992; 5:325-370.
Politi MC, Han PK, Col NF. Communicating the uncertainty of harms and benefits of medical interventions. Medical Decis Making. 2007; 27:681-695.
Han PK, Moser RP, Klein WM. Perceived ambiguity about cancer prevention recommendations: associations with cancer-related perceptions and behaviours in a US population survey. Health Expect. 2007; 10:321-336.
Han PK, Kobrin SC, Klein WM, Davis WW, Stefanek M, Taplin SH. Perceived ambiguity about screening mammography recommendations: association with future mammography uptake and perceptions. Cancer Epidemiol Biomarkers Prev. 2007; 16:458-466.
Ferrer RA, Hall KL, Portnoy DB, Ling BS, Han PK, Klein WM. Relationships among health perceptions vary depending on stage of readiness for colorectal cancer screening. Health Psychol. 2011; 30:525-535.
Cameron LD, Diefenbach MA. Responses to information about psychosocial consequences of genetic testing for breast cancer susceptibility: influences of cancer worry and risk perceptions. J Health Psychol. 2001; 6:47-59.
Tomlinson I, Webb E, Carvajal-Carmona L, et al. A genome-wide association scan of tag SNPs identifies a susceptibility variant for colorectal cancer at 8q24.21. Nat Genet. 2007; 39:984-988.
Jaeger E, Webb E, Howarth K, et al. Common genetic variants at the CRAC1 (HMPS) locus on chromosome 15q13.3 influence colorectal cancer risk. Nat Genet. 2008; 40:26-28.
Pittman AM, Webb E, Carvajal-Carmona L, et al. Refinement of the basis and impact of common 11q23.1 variation to the risk of developing colorectal cancer. Hum Mol Genet. 2008; 17:3720-3727.
23andMe. Available at https://www.23andme.com/health/Colorectal-Cancer/. Accessed 1 Dec 2011.
deCODE genetics. Risk calculations. Available at http://www.decodeme.com/health-watch-information/risk-calculation. Accessed 1 Dec 2011.
Navigenics. Available at http://www.navigenics.com/visitor/what_we_offer/conditions_we_cover/colon_cancer/. Accessed 1 Dec 2011.
Weedon MN, McCarthy MI, Hitman G, et al. Combining information from common type 2 diabetes risk polymorphisms improves disease prediction. PLoS Med. 2006; 3:e374.
Kupfer SS, Anderson JR, Hooker S, et al. Genetic heterogeneity in colorectal cancer associations between African and European Americans. Gastroenterology. 2010; 139:1677-1685.
Hudson KL. Genomics, health care, and society. N Eng J Med. 2011; 365:1033-1041.
Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol. 2006; 3:77-101.
Sandelowski M. Combining qualitative and quantitative sampling, data collection, and analysis techniques in mixed-method studies. Res Nurs Health. 2000; 23:246-255.
Beeson D. Nuance, complexity, and context: qualitative methods in genetic counseling research. J Genet Couns. 1997; 6:21-43.
Miles MB, Huberman AM. Qualitative data analysis: an expanded sourcebook. 2nd ed. Thousand Oaks: Sage; 1994.
Wade CH, Shiloh S, Woolford SW, et al. Modelling decisions to undergo genetic testing for susceptibility to common health conditions: an ancillary study of the multiplex initiative. Psychol Health. 2012; 27:430-444.
Bunnik EM, Schermer MH, Janssens AC. Personal genome testing: test characteristics to clarify the discourse on ethical, legal and societal issues. BMC Med Ethics. 2011; 12:11.
Foster MW, Mulvihill JJ, Sharp RR. Evaluating the utility of personal genomic information. Genet Med. 2009; 11:570-574.
Lea DH, Kaphingst KA, Bowen D, Lipkus I, Hadley DW. Communicating genetic and genomic information: health literacy and numeracy considerations. Public Health Genomics. 2011; 14:279-289.
Walter FM, Emery J, Braithwaite D, Marteau TM. Lay understanding of familial risk of common chronic diseases: a systematic review and synthesis of qualitative research. Ann Fam Med. 2004; 2:583-594.
O'Neill SC, McBride CM, Alford SH, Kaphingst KA. Preferences for genetic and behavioral health information: the impact of risk factors and disease attributions. Ann Behav Med. 2010; 40:127-137.
Marteau TM, Lerman C. Genetic risk and behavioural change. BMJ. 2001; 322:1056-1059.
Gordon ES, Stack CB, Gharani N, Schmidlen TJ, Christman MF, Keller MA. Perceived risk, anxiety and sharing behavior in response to personalized risk information in a cohort study. In Presented at the 60th Annual Meeting of the American Society of Human Genetics, Washington DC, November 2010 (Abstract 1629).
Kaufman D, Murphy-Bollinger J, Devaney S, Scott J. A survey of 1,048 customers of three direct-to-consumer personal genomic testing companies about motivations, attitudes, and responses to testing. In Presented at the 60th Annual Meeting of the American Society of Human Genetics, Washington DC, November 2010 (Abstract 390).
Bloss CS, Darst BF, Topol EJ, Schork NJ. Direct-to-consumer personalized genomic testing. Hum Mol Genet. 2011; 20:R132-R141.
Roberts JS, Christensen KD, Green RC. Using Alzheimer's disease as a model for genetic risk disclosure: implications for personal genomics. Clin Genet. 2011; 80:407-414.
Sanderson SC, O'Neill SC, White DB, et al. Responses to online GSTM1 genetic test results among smokers related to patients with lung cancer: a pilot study. Cancer Epidemiol Biomarkers Prev. 2009; 18:1953-1961.
O'Daniel JM. The prospect of genome-guided preventive medicine: a need and opportunity for genetic counselors. J Genet Couns. 2010; 19:315-327.
Manolio TA. Genomewide association studies and assessment of the risk of disease. N Eng J Med. 2010; 363:166-176.
National Center for Biotechnology Information. What is a Genome? Available at http://www.ncbi.nlm.nih.gov/About/primer/genetics_genome.html. Accessed 1 Dec 2011.
Acknowledgments
This project was supported by funding through NCI K07CA131172 and NCIK07CA131172-S2 (KG), the Genomics and Epigenomics Shared Resource at the Lombardi Comprehensive Cancer Center, Georgetown University, which is partially supported by NIH/NCI grant P30-CA051008 and from the Fisher Center for Familial Cancer Research.
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Implications
Practice: In-person pre- and post-test genomic education results in informed uptake of SNP testing for cancer risk and may have implications for improved motivation for and uptake of certain health behaviors.
Policy: Resources for public health genomic education and continued oversight and regulation of commercially available genomic testing are warranted given the complexities of communicating and understanding genomic information.
Research: Next steps for translational genomic medicine research include larger-scale efforts to examine the clinical utility of genomic results on health behavior outcomes.
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Nusbaum, R., Leventhal, KG., Hooker, G.W. et al. Translational genomic research: protocol development and initial outcomes following SNP testing for colon cancer risk. Behav. Med. Pract. Policy Res. 3, 17–29 (2013). https://doi.org/10.1007/s13142-012-0149-0
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DOI: https://doi.org/10.1007/s13142-012-0149-0