Collins FS, Varmus H. A new initiative on precision medicine. New England J Med. 2015;372:793–5.
Article
CAS
Google Scholar
Peterson EB, Chou W-yS, Gaysynsky A, Krakow M, Elrick A, Khoury MJ, Kaphingst KA. Communication of cancer-related genetic and genomic information: A landscape analysis of reviews.
Jeibouei S, Akbari ME, Kalbasi A, Aref AR, Ajoudanian M, Rezvani A, Zali H. Personalized medicine in breast cancer: pharmacogenomics approaches. Pharmacogen Per Med. 2019;12:59–73.
CAS
Google Scholar
Hamilton SP. The promise of psychiatric pharmacogenomics. Bio Psych. 2015;77(1):29–35.
Article
Google Scholar
Millican EA, Lenzini PA, Millian PE, Groxxo L, Eby C, Deych E, et al. Genetic-based dosing in orthopedic patients beginning warfarin therapy. Blood. 2007;110:1511–5.
Article
CAS
PubMed
PubMed Central
Google Scholar
Shahin MHA, Johnson JA. Clopidogrel and warfarin pharmacogenetic tests: what is the evidence for use in clinical practice? Current Opin Cardio. 2013;28:305–14.
Article
Google Scholar
Hartz SM, Olfson E, Culverhouse R, Cavazos-Rehg P, Chen L-S, DuBois R, et al. Return of individual genetic results in a high-risk sample: Enthusiasm and positive behavioral change. Gen in Med. 2015;17:374–9.
Google Scholar
Moldovan R, Pintea S, Austin J. The efficacy of genetic counseling for psychiatric disorders: a meta-analysis. J Gen Counsel. 2017;26:1341–7.
Article
Google Scholar
Norman P, Brain K. An application of an extended health belief model to the prediction of breast self-examination among women with a family history of breast cancer. Brit J Health Psych. 2005;10(1):1–16.
Article
Google Scholar
Chen L-S, Kaphingst KA, Tseng T-S, Zhao S. How are lung cancer risk perceptions and cigarette smoking related? – testing an accuracy hypothesis. Transl Cancer Res. 2016;5(Suppl5):S964–71.
Article
PubMed
Google Scholar
Roberts JS, Gornick MC, Carere DA, Wuhlmann WR, Ruffin MT, Green RC. Direct-to-consumer genetic testing: user motivations, decision making, and perceived utility of results. Pub Health Genomics. 2017;20:36–45.
Article
Google Scholar
Olfson E, Hartz S, Carere, DA, Green RC, Roberts JS, Bierut, LJ. Implications of personal genomic testing for health behaviors: the case of smoking. Nic Tobacco Res. 2016;2273–2277.
Khoury MJ, Iademarco MF, Riley WT. Precision public health for the era of prediction medicine. Am J Prev Med. 2016;50:398–401.
Article
PubMed
Google Scholar
Belsky DW, Moffitt TE, Caspi A. Genetics in population health science: Strategies and opportunities. Am J Pub Health. 2012;103:S73–83.
Article
Google Scholar
Meiser B, Guo XY, Putt S, Fulleton JM, Schofield PR, Mitchell PB, Yanes T. Psychosocial implications of living with familial risk of a psychiatric disorder and attitudes of psychiatric genetic testing: A systematic review of the literature. Am J Med Gen Part B. 2020;1–20. doi:https://doi.org/10.1002/ajmg.b.32786
Waltz M, Meagher KM, Henderson GE, Goddard KAB, Muessig K, Berg JS, Weck KE, Cadigan RJ. Assessing the implications of positive genomic screening results. Per Med. 2020;17(2):101–9.
Article
CAS
PubMed
PubMed Central
Google Scholar
Stewart KFJ, Wesselius A, Schreurs MAC, Schols AMWJ, Zeegers MP. Behavioral changes, sharing behavior and psychological responses after receiving direct-to-consumer genetic test results: a systematic review and meta-analysis. J Community Genet. 2018;9:1–18.
Article
CAS
PubMed
Google Scholar
O’Neill S, Lipkus IM, Sanderson SC, Shepperd J, Docherty S, McBride CM. Motivations for genetic testing for lung cancer risk among young smokers. Tob Control. 2013;22(6):406–11.
Article
PubMed
Google Scholar
Kimball BC, Nowakowski KE, Maschke KJ, McCormick JB. Genomic data in the electronic medical record: Perspectives from a biobank community advisory board. J Emp Res Hum Res Ethic. 2014;9:16–24.
Article
Google Scholar
Prom-Wormley EC, Clifford J, Bourdon JL, Barr P, Blondino C, Ball J, et al. Developing community-based strategies with family health history: Assessing the association between community resident family history and interest in health education. Soc Sci Med. 2019. https://doi.org/10.1016/j.socscimed.2019.02.011.
Article
PubMed
PubMed Central
Google Scholar
Salm M, Abbate K, Applebaum P, Ottmamn R, Chung W. Use of genetic tests among neurologists and psychiatrists: Knowledge, attitudes, behaviors, and needs for training. J Gen Counsel. 2014;23:156–63.
Article
Google Scholar
Zhou YZ, Wilde A, Meiser B, Mitchell PB, Barlow-Stewart K, Schofield PR. Attitudes of medical genetics practitioners and psychiatrists toward communicating with patients about genetic risk for psychiatric disorders. Psych Gen. 2014;24(3):94–101.
Article
Google Scholar
Fernandez CV, Strahlendorf C, Avard D, Knoppers BM, O’Connell C, Bouffet E, et al. Attitudes of Canadian researchers toward the return to participants of incidental and targeted genomic findings obtained in a pediatric research setting. Gen Med. 2013;25:558–64.
Google Scholar
Klitzman R, Appelbaum PS, Fyer A, Martinez J, Buquez B, Wynn J, et al. Researchers’ views on return of incidental genomic research results: qualitative and quantitative findings. Gen Med. 2013;15:888–95.
Google Scholar
Nurnberger JI, Austin J, Berrettini WH, Besterman AD, DeLisi LE, Grice DE, et al. What should a psychiatrist know about genetics? Review and recommendations from the residency education committee of the International Society of Psychiatric Genetics. J Clin Psych. 2018;80(1):e1–6.
Google Scholar
Wilson BJ, Islam R, Francis JJ, Grimshaw JM, Permaul JA, Allanson JE, et al. Supporting genetics in primary care: investigating how theory can inform professional education. Euro J Hum Gen. 2016;24:1541–6.
Article
Google Scholar
Kohler JN, Turbitt E, Lewis KL, Wilfond BS, Jamal L, Peay HL, Bieskecker LG, Biesecker BB. Defining personal utility in genomics: a Delphi study. Clin Gen. 2017;92:290–7.
Article
CAS
Google Scholar
Kaphingst KA, McBride CM, Wade C, Alford SH, Reid R, Lrason E, Baxevanis AD, Brody LC. Patient understanding of and responses to multiplex genetic susceptibility test results. Genet Med. 2012;14(7):681–7.
Article
PubMed
PubMed Central
Google Scholar
Kaphingst KA, McBride CM, Wade C, Alford SH, Brody LC, Baxevanis AD. Consumers’ use of web-based information and their decisiosn about multiplex genetic susceptibility testing. J Med Internet Res. 2010;12(3):e41.
Carere DA, Kraft P, Kaphinst KA, Roberts S, Green RC. Consumers report lower confidence in their genetics knowledge following direct-to-consumer personal genomic testing. Genet Med. 2016;18(1):65–72.
Article
PubMed
Google Scholar
Frieser MJ, Wilson S, Vrieze SI. Behavioral impact of return of genetic test results for complex disease: Systematic review and meta-analysis. Health Psychol. 2018;37(12):1134–44.
Article
PubMed
PubMed Central
Google Scholar
Visscher PM, Wray NR, Zhang Q, Sklar P, McCarthy MI, Brown MA, Yang J. 10 years of GWAS discovery: biology, function, and translation. Am J Hum Gen. 2016;101:5–22.
Article
CAS
Google Scholar
Finn CT, Smoller JW. Genetic counseling in psychiatry. Harvard R Psych. 2006;14:109–21.
Article
Google Scholar
Sperber NR, Carpetner JS, Cavallari LH, Damschroder LJ, Cooper-DeHoff RM, Denny JC, et al. Challenges and strategies for implementing genomic services in diverse settings: Experiences from the Implementing GeNomics in practice (IGNITE) network. BMC Med Gen. 2017;10(35).
International Society of Psychiatric Genetics [ISPG]. Genetic testing statement. 2017;Available from https://ispg.net/genetic-testing-statement/.
Ramoni RB, McGuire AL, Robinson JO, Morley DS, Plon SE, Joffe S. Experiences and attitudes of genome investigators regarding return of individual genetic test results. Gen Med. 2013;15(11):882–7.
Google Scholar
Sullivan PK, Daly MJ, O’Donovan M. Genetic architectures of psychiatric disorders: the emerging picture and its implications. Nat R Gen. 2012. https://doi.org/10.1038/nrg3240.
Article
Google Scholar
Kaphingst KA, Peterson E, Zhao J, Gaysynsky A, Elrick A, Hong SJ, Krakow M, et al. Cancer communication research in the area of genomics and precision medicine: a scoping review. Gen in Med. 2019;21(8):1691–8.
Google Scholar
McBride CM, Graves KD, Kaphingst KA, Allen CG, Wang C, Arrendondo E, Klein WMP. Behavioral and social scientists’ reflections on genomics: a systematic evaluation within the Society of Behavioral Medicine. RBM. 2019;9:1012–9.
Google Scholar
Klein WMP, McBride CM, Allen CG, Arrendondo EM, Bloss CS, Kaphingst KA, Sturm AC, Wang C. Optimal integration of behavioral medicine into clinical genetics and genomics. Am J Hum Gen. 2019;104:193–106.
Article
CAS
Google Scholar
Senft N, Sanderson M, Selove R, Blot WJ, King S, Gilliam K, et al. Attitudes towards precision treatment of smoking in the Southern Community Cohort Study. Cancer Epi Biomark Prev. 2019;8:1345–52.
Article
Google Scholar
Waters EA, Ball L, Ghlert S. ‘I don’t believe it.’ Acceptance and skepticism of genetic health information among African-American and White smokers. Soc Sci Med. 2017;184:153–160.
Shepperd JA, Novell CA, O’Neill SC, Docherty SL, Sanderson SC, McBride CM, Lipkus IM. Contemplating genetic feedback regarding lung cancer susceptibility. Ann Behav Med. 2014;47(3):395–403.
Article
PubMed
Google Scholar
Bloss CS, Jeste DV, Schork NJ. Genomics for disease treatment and prevention. Psych Clin North Am. 2011;34:147–66.
Article
Google Scholar
Hollands GJ, French DP, Griffin SJ, Prevost AT, Sutton S, King S, et al. The impact of communicating genetic risks of disease on risk-reducing health behaviour: Systematic review with meta-analysis. BMJ. 2016;352:1–11.
Google Scholar
Lipkus IM, Schwartz-Bloom R, Kelley MJ, Pan W. A Preliminary Exploration of College Smokers’ Reactions to Nicotine Dependence Genetic Susceptibility Feedback. Nic Tob Res. 2015;17(3):337–43.
Article
Google Scholar
Sanderson SC, O’Neill SC, White DB, Depler G, Bastian L, Lipkus IM, McBride CM. Responses to online GSTM1 genetic test results among smokers related to patients with lung cancer: a pilot study. Cancer Epi Biomarkers Prev. 2009;18(8):1953–61.
Article
CAS
Google Scholar
Kong C, Dunn M, Parker M. Psychiatric genomics and mental health treatment: setting the ethical agenda. Am J Bioethics. 2017;17:3–12.
Article
Google Scholar
Roberts MC, Kennedy AE, Chambers DA, Khoury MJ. The current state of implementation science in genomic medicine: opportunities for improvement. Gen in Med. 2017;19(8):858–63.
Google Scholar
Austin JC. Evidence-based genetic counseling for psychiatric disorders: A road map. Cold Spring Harbor P Med. 2019;1–14.
Ramsey AT, Chen L-S, Hartz SM, Saccone NL, Fisher SL, Proctor EK, Bierut LJ. Toward the implementation of genomic applications for smoking cessation and smoking-related diseases. TBM. 2018;8:7–17.
Google Scholar
Ramsey AT, Bourdon JL, Bray M, Dorsey A, Zalik M, Pietka A, et al. Proof of concept of a personalized genetic risk tool to promote smoking cessation: High acceptability and reduced cigarette smoking. Cancer Prev Res. 2021. https://doi.org/10.1158/1940-6207.CAPR-20-0328.
Article
Google Scholar
Ramsey AT, Bray M, Laker PA, Bourdon JL, Dorsey A, Zalik M, et al. Participatory design of a personalized genetic risk tool to promote behavioral health. Cancer Prev Res. 2020;14:253–62. https://doi.org/10.1158/1940-6207.CAPR-20-0029.
Article
Google Scholar
Strauss AL, Corbin JM. Basics of qualitative research: techniques and procedures for developing grounded theory. London: SAGE Publication; 1998.
Google Scholar
Hsieh H-F, Shannon SE. Three approaches to qualitative content analysis. Qual Res. 2005;15:1277–88.
Google Scholar
Myer DZ, Avery LM. Excel as a qualitative data analysis tool. Field Methods. 2009;21(1):91–112.
Article
Google Scholar
Bree R, Gallagher G. Using Microsoft Excel to code and thematically analyze qualitative data: a simple, cost-effective approach. AISHE-J. 2016;8:2811–28114.
Google Scholar
Moller AC, Merchant G, Conroy DE, West R, Hekler E, Kugler KC, et al. Applying and advancing behavior change theories and techniques in the context of a digital health revolution: Proposals for more effectively realizing untapped potential. J Behav Med. 2017;40:85–98.
Article
PubMed
PubMed Central
Google Scholar
Zhang C-Q, Zhang R, Schwarzer R Hagger MS. A meta-analysis of the health action process approach. Health Psychol. Off. J. Div. Health Psych Am Psych Assoc. 2019;38:623–637.
Chiu A, Hartz S, Smock N, Chen J, Qazi A, Onyeador J, et al. Most current smokers desire genetic susceptibility testing and genetically-efficacious medication. J Neuroimmune Pharm. 2018;13(4):430–7.
Article
Google Scholar
Michie S, Van Stralen MM, West R. The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Impl Sci. 2011;6(1):42.
Article
Google Scholar
Rosenstock IM, Strecher VJ, Becker MH. Social learning theory and the health belief model. Health Edu Quarterly. 1988;15(2):175–83.
Article
CAS
Google Scholar
Marteau TM, French DP, Griffin SJ, Prevost AT, Sutton S, Watkinson C, Attwood S, Hollands GJ. Effects of communicating DNA-based disease risk estimates on risk-reducing behaviors. Cochrane. 2010. https://doi.org/10.1002/14651858.CD007275.pub2.
Article
Google Scholar
Cornetta K, Brown CG. Balancing personalized medicine and personalized care. Acad Med. 2013;88(3):309–13.
Article
PubMed
PubMed Central
Google Scholar
Costain G, Esplen MJ, Toner B, Hodgkinson KA, Bassett AS. Evaluating genetic counseling for family members of Individuals with Schizophrenia in the molecular age. Schizophrenia Bull. 2014;41(1):88–99.
Article
Google Scholar
Peterson RE, Kuchenbaecker K, Walters RK, et al. Genome-wide association studies in ancestrally diverse populations: Opportunities, methods, pitfalls, and recommendations. Cell. 2019;179.