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Anticipating dissemination of cancer genomics in public health: A theoretical approach to psychosocial and behavioral challenges

  • Published:
Annals of Behavioral Medicine

Abstract

Background: Given the recent sequencing of the human genome, genetic susceptibility information will probably be increasingly useful in the prevention and control of many common diseases, including cancer.Purpose: Although much is known about psychosocial factors related to the impact of cancer genetic testing among high-risk families in specialized clinic settings, much less is known about how genetic susceptibility information may contribute to the health and wellbeing of the general population.Methods: We present a theoretical synthesis drawn from the health communication and health behavior change traditions to guide research examining psychosocial and behavioral challenges central to dissemination of cancer genomics in public health.Results: These challenges include (a) anticipating individuals’ reactions to receiving genetic information that is probabilistic and derived from multiple sources; (b) modeling the influence of public communication about genetics on the population; (c) confronting the need to disseminate cancer genomic information through public health channels; and (d) maximizing opportunities to achieve cancer risk reduction across individuals, families, and local environments. Throughout the article, we use melanoma genomics as an example of the issues requiring attention.Conclusions: We hope the model helps shape the psychosocial and behavioral research agenda concerning the impact of cancer genomics outside the high-risk clinic.

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References

  1. Collins FS, Green ED, Guttmacher AE, Guyer MS: A vision for the future of genomics research.Nature. 2003,422:835–847.

    PubMed  CAS  Google Scholar 

  2. Lerman C, Croyle RT, Tercyak KP, Hamann H: Genetic testing: Psychological aspects and implications.Journal of Consulting and Clinical Psychology. 2002,70:784–797.

    PubMed  Google Scholar 

  3. Patenaude AF, Guttmacher AE, Collins FS: Genetic testing and psychology. New roles, new responsibilities.The American Psychologist. 2002,57:271–282.

    PubMed  Google Scholar 

  4. de Snoo FA, Bergman W, Gruis NA: Familial melanoma: A complex disorder leading to controversy on DNA testing.Familial Cancer. 2003,2:109–116.

    PubMed  Google Scholar 

  5. Perera FP: Environment and cancer: Who are susceptible?Science. 1997,278:1068–1073.

    PubMed  CAS  Google Scholar 

  6. Khoury MJ, Group CGW: From genes to public health: Applications of genetics in disease prevention.American Journal of Public Health. 1996,86:1717–1722.

    PubMed  CAS  Google Scholar 

  7. Khoury MJ, Thrasher JF, Burke W, et al.: Challenges in communicating genetics: a public health approach.Genetics in Medicine. 2000,2:198–202.

    PubMed  CAS  Google Scholar 

  8. Efferth T, Volm M: Pharmacogenetics for individualized cancer chemotherapy.Pharmacology & Therapeutics. 2005,107:155–176.

    CAS  Google Scholar 

  9. Gritz ER, Peterson S: Intersection of genomic information and behavioral sciences. In Hernanadez LM (ed),Implications of Genomics for Public Health: Workshop Summary. Washington, DC: Institute of Medicine, The National Academies Press, 2005, 24.

    Google Scholar 

  10. Jemal A, Devesa SS, Hartge P, Tucker MA: Recent trends in cutaneous melanoma incidence among whites in the United States.Journal of the National Cancer Institute. 2001,93:678–683.

    PubMed  CAS  Google Scholar 

  11. Goldstein AM, Tucker MA: A piece of the melanoma puzzle.Journal of the National Cancer Institute. 2005,97:1486–7.

    PubMed  Google Scholar 

  12. Skinner MA, Moley JA, Dilley WG, et al.: Prophylactic thyroidectomy in multiple endocrine neoplasia type 2 A.New England Journal of Medicine. 2005,353:1105–1113.

    PubMed  CAS  Google Scholar 

  13. Begg CB, Orlow I, Hummer AJ, et al.: Lifetime risk of melanoma in CDKN2A mutation carriers in a population-based sample.Journal of the National Cancer Institute. 2005,97:1507–1515.

    PubMed  CAS  Google Scholar 

  14. Bishop DT, Demenais F, Goldstein AM, et al.: Geographical variation in the penetrance of CDKN2A mutations for melanoma.Journal of the National Cancer Institute. 2002,94:894–903.

    PubMed  CAS  Google Scholar 

  15. Valverde P, Healy E, Sikkink S, et al.: The Asp84Glu variant of the melanocortin 1 receptor (MC1R) is associated with melanoma.Human Molecular Genetics. 1996,5:1663–1666.

    PubMed  CAS  Google Scholar 

  16. Chaudru V, Laud K, Avril MF, et al.: Melanocortin-1 receptor (MC1R) gene variants and dysplastic nevi modify penetrance of CDKN2A mutations in French melanomaprone pedigrees.Cancer Epidemiology, Biomarkers & Prevention. 2005,14:2384–2390.

    CAS  Google Scholar 

  17. Duffy DL, Box NF, Chen W, et al.: Interactive effects of MC1R and OCA2 on melanoma risk phenotypes.Human Molecular Genetics. 2004,13:447–4461.

    PubMed  CAS  Google Scholar 

  18. Flanagan N, Healy E, Ray A, et al.: Pleiotropic effects of the melanocortin 1 receptor (MC1R) gene on human pigmentation.Human Molecular Genetics. 2000,9:2531–2537.

    PubMed  CAS  Google Scholar 

  19. Goldstein AM, Landi MT, Tsang S, et al.: Association of MC1R variants and risk of melanoma in melanoma-prone families with CDKN2A mutations.Cancer Epidemiology, Biomarkers & Prevention. 2005,14:2208–2212.

    CAS  Google Scholar 

  20. Kanetsky PA, Ge F, Najarian D, et al.: Assessment of polymorphic variants in the melanocortin-1 receptor gene with cutaneous pigmentation using an evolutionary approach.Cancer Epidemiology, Biomarkers & Prevention. 2004,13:808–819.

    CAS  Google Scholar 

  21. Kennedy C, ter Huurne J, Berkhout M, et al.: Melanocortin 1 receptor (MC1R) gene variants are associated with an increased risk for cutaneous melanoma which is largely independent of skin type and hair color.The Journal of Investigative Dermatology. 2001,117:294–300.

    PubMed  CAS  Google Scholar 

  22. Landi MT, Kanetsky PA, Tsang S, et al.: MC1R, ASIP, and DNA repair in sporadic and familial melanoma in a Mediterranean population.Journal of the National Cancer Institute. 2005,97:998–1007.

    PubMed  CAS  Google Scholar 

  23. Matichard E, Verpillat P, Meziani R, et al.: Melanocortin 1 receptor (MC1R) gene variants may increase the risk of melanoma in France independently of clinical risk factors and UV exposure.Journal of Medical Genetics. 2004,41:e13.

    Google Scholar 

  24. Sturm RA: Skin colour and skin cancer—MC1R, the genetic link.Melanoma Research. 2002,12:405–416.

    PubMed  CAS  Google Scholar 

  25. Berg AO: Clinical use of genomic information. In Hernanadez LM (ed),Implications of Genomics for Public Health: Workshop Summary. Washington, DC: Institutes of Medicine, The National Academies Press, 2005, 22.

    Google Scholar 

  26. American Medical Association: Multiple genetic testing.Hastings Center Report. 1998,28:15–21.

    Google Scholar 

  27. Marteau TM, Weinman J: Self-regulation and the behavioural response to DNA risk information: A theoretical analysis and framework for future research.Social Science & Medicine. 2006,62:1360–1368.

    Google Scholar 

  28. Cameron LD, Leventhal H (eds):The Self-Regulation of Health and Illness Behavior. New York: Routledge, 2003.

    Google Scholar 

  29. 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.Annals of Family Medicine. 2004,2:583–594.

    PubMed  Google Scholar 

  30. McAllister M.: Predictive genetic testing and beyond: A theory of engagement.Journal of Health Psychology. 2002,7:491–508.

    Google Scholar 

  31. McAllister M: Personal theories of inheritance, coping strategies, risk perception and engagement in hereditary non-polyposis colon cancer families offered genetic testing.Clinical Genetics. 2003,64:179–189.

    PubMed  CAS  Google Scholar 

  32. Walter FM, Emery J: “Coming down the line”: Patients’ understanding of their family history of common chronic disease.Annals of Family Medicine. 2005,3:405–414.

    PubMed  Google Scholar 

  33. Harvard Center for Cancer Prevention:Your Disease Risk. The Source on Prevention, 2005. Retrieved April 2007 from http://www.yourdiseaserisk.harvard.edu

  34. Blalock SJ, DeVellis BM, Afifi RA, Sandler RS: Risk perceptions and participation in colorectal cancer screening.Health Psychology. 1990,9:792–806.

    PubMed  CAS  Google Scholar 

  35. Lipkus IM, Skinner CS, Dement J, et al.: Increasing colorectal cancer screening among individuals in the carpentry trade: Test of risk communication interventions.Preventive Medicine. 2005,40:489–501.

    PubMed  Google Scholar 

  36. Weinstein ND, Atwood K, Puleo E, et al.: Colon cancer: Risk perceptions and risk communication.Journal of Health Communication. 2004,9:53–65.

    PubMed  Google Scholar 

  37. Lipkus IM, Skinner CS, Green LS, et al.: Modifying attributions of colorectal cancer risk.Cancer Epidemiology, Biomarkers & Prevention. 2004,13:560–566.

    Google Scholar 

  38. Ponder M, Lee J, Green J, Richards M: Family history and perceived vulnerability to some common diseases: A study of young people and their parents.Journal of Medical Genetics. 1996,33:485–492.

    PubMed  CAS  Google Scholar 

  39. Weinstein ND: Why it won’t happen to me: perceptions of risk factors and susceptibility.Health Psychology. 1984,3:431–457.

    PubMed  CAS  Google Scholar 

  40. Weinstein ND: Unrealistic optimism about susceptibility to health problems: Conclusions from a community-wide sample.Journal of Behavioral Medicine. 1987,10:481–500.

    PubMed  CAS  Google Scholar 

  41. Senior V, Marteau TM, Peters TJ: Will genetic testing for predisposition for disease result in fatalism? A qualitative study of parents’ responses to neonatal screening for familial hypercholesterolaemia.Social Science Medicine. 1999,48:1857–1860.

    PubMed  CAS  Google Scholar 

  42. Acheson LS, Crabtree BF: How do people interpret their family histories of diabetes, coronary disease, or cancer?Annals of Family Medicine. 2004,2:532–533.

    PubMed  Google Scholar 

  43. Finnegan JR, Jr. Viswanath K: Communication theory and health behavior change: The media studies framework. In Glanz K, Rimer BK, Lewis FM (eds),Health Behavior and Health Education. Theory, Research and Practice. San Francisco: Jossey-Bass, 2002.

    Google Scholar 

  44. Street RL Jr.: Communication in medical encounters: An ecological perspective. In Thompson TL, Dorsey AM, Miller KI, Parrott R (eds),Handbook of Health Communication. Mahwah, NJ: Lawrence Erlbaum Associates, 2003, 63–89.

    Google Scholar 

  45. Freimuth V: Educating the public. In Hernanadez LM (ed),Implications of Genomics for Public Health: Workshop Summary. Washington, DC: Institute of Medicine, The National Academies Press, 2005, 37.

    Google Scholar 

  46. Petersen A: Biofantasies: genetics and medicine in the print news media.Social Science Medicine. 2001,52:1255–1268.

    PubMed  CAS  Google Scholar 

  47. Kerr A, Cunningham-Burley S, Amos A: Drawing the line: An analysis of lay people’s discussions about the new genetics.Public Understanding of Science. 1998,7:113–133.

    PubMed  Google Scholar 

  48. Kerr A, Cunningham-Burley S, Amos A: The new genetics and health: Mobilizing lay expertise.Public Understanding of Science. 1998,7:41–60.

    PubMed  Google Scholar 

  49. Harris T: Gene find brings hope for glaucoma sufferers.The Weekend Australian. March 1997, 44:28–29.

    Google Scholar 

  50. Ariail K, Watts C, Bowen D: Retention in a breast cancer risk information trial: Motivations of a population-based sample of women.Health Education & Behavior. 2006,33:591–603.

    Google Scholar 

  51. Durfy SJ, Bowen DJ, McTiernan A, Sporleder J, Burke W: Attitudes and interest in genetic testing for breast and ovarian cancer susceptibility in diverse groups of women in western Washington.Cancer Epidemiology. Biomarkers & Prevention. 1999,8:369–375.

    CAS  Google Scholar 

  52. Burke W, Culver JO, Bowen D, et al.: Genetic counseling for women with an intermediate family history of breast cancer.American Journal of Medical Genetics. 2000,90:361–368.

    PubMed  CAS  Google Scholar 

  53. Bowen DJ, Burke W, Yasui Y, McTiernan A, McLeran D: Effects of risk counseling on interest in breast cancer genetic testing for lower risk women.Genetics in Medicine. 2002,4:359–365.

    PubMed  Google Scholar 

  54. Mesters I, Ausems M, Eichhorn S, Vasen H: Informing one’s family about genetic testing for hereditary nonpolyposis colorectal cancer (HNPCC): A retrospective exploratory study.Familial Cancer. 2005,4:163–167.

    PubMed  Google Scholar 

  55. Bowen DJ, Battuello KM, Raats M: Marketing genetic tests: Empowerment or snake oil?Health Education & Behavior. 2005,32:676–685.

    Google Scholar 

  56. Myriad: Myriad genetics to launch melaris—A predictive medicine test for melanoma (press release). Salt Lake City, UT: September 27, 2001. Retrieved April 28, 2006 from http://www.myriad.com/news/release/273644

  57. Kefford R, Bishop JN, Tucker M, et al.: Genetic testing for melanoma.The Lancet Oncology. 2002,3:653–654.

    PubMed  Google Scholar 

  58. Vadaparampil ST, Wideroff L, Olson L, Viswanath K, Freedman AN: Physician exposure to and attitudes toward advertisements for genetic tests for inherited cancer susceptibility.American Journal of Medical Genetics A. 2005,135:41–46.

    Google Scholar 

  59. Bubela TM, Caulfield TA: Do the print media “hype” genetic research? A comparison of newspaper stories and peer-reviewed research papers.Canadian Medical Association Journal. 2004,170:1399–1407.

    PubMed  Google Scholar 

  60. Condit C: What is “public opinion” about genetics?Nature Reviews Genetics. 2001,2:811–815.

    PubMed  CAS  Google Scholar 

  61. Lanie AD, Jayaratne TE, Sheldon JP, et al.: Exploring the public understanding of basic genetic concepts.Journal of Genetic Counseling. 2004,13:305–320.

    PubMed  Google Scholar 

  62. Rose AL, Peters N, Shea JA, Armstrong K: Attitudes and misconceptions about predictive genetic testing for cancer risk.Community Genetics. 2005,8:145–151.

    PubMed  Google Scholar 

  63. Rose A, Peters N, Shea JA, Armstrong K: The association between knowledge and attitudes about genetic testing for cancer risk in the United States.Journal of Health Communication. 2005,10:309–321.

    PubMed  Google Scholar 

  64. Wideroff L, Vadaparampil ST, Breen N, Croyle RT, Freedman AN: Awareness of genetic testing for increased cancer risk in the year 2000 National Health Interview Survey.Community Genetics. 2003,6:147–156.

    PubMed  Google Scholar 

  65. Eisenbruch M, Yeo SS, Meiser B, et al.: Optimising clinical practice in cancer genetics with cultural competence: Lessons to be learned from ethnographic research with Chinese-Australians.Social Science & Medicine. 2004,59:235–248.

    Google Scholar 

  66. Kenen R, Arden-Jones A, Eeles R: We are talking, but are they listening? Communication patterns in families with a history of breast/ovarian cancer (HBOC).Psycholoncology. 2004,13:335–345.

    Google Scholar 

  67. Richards M: Annotation: Genetic research, family life, and clinical practice.Journal of Child Psychology and Psychiatry. 1998,39:291–305.

    PubMed  CAS  Google Scholar 

  68. Richards M, Ponder M: Lay understanding of genetics: a test of a hypothesis.Journal of Medical Genetics. 1996,33:1032–1036.

    PubMed  CAS  Google Scholar 

  69. Henderson BJ, Maguire BT. Three lay mental models of disease inheritance.Social Science & Medicine. 2000,50:293–301.

    CAS  Google Scholar 

  70. Rogers EM:Diffusions of Innovations (4th Ed.). New York: The Free Press, 1995.

    Google Scholar 

  71. McCombs M: News influence on our pictures of the world. In Bryant J, Zillmann D (eds),Media Effects. Advances in Theory and Research. Hillsdale, NJ: Lawrence Erlbaum Associates, 1994, 1–17.

    Google Scholar 

  72. Gerbner G, Gross L, Morgan M, Signorielli N: Growing up with television: The cultivation perspective. In Bryant J, Zillmann D (eds),Media Effects. Advances in Theory and Research. Hillsdale, NJ: Lawrence Erlbaum Associates, 1994, 17–43.

    Google Scholar 

  73. Solomon DS: A social marketing perspective on communication campaigns. In Rice RE, Atkin CK (eds),Public Communication Campaigns (2nd Ed.). Newbury Park: Sage, 1989, 87–104.

    Google Scholar 

  74. Maibach EW, Rothschild ML, Novelli WD: Social marketing. In Glanz K, Rimer BK, Lewis FM (eds),Health Behavior and Health Education. Theory, Research and Practice (3rd Ed.). San Francisco: Jossey-Bass, 2002.

    Google Scholar 

  75. Petty RE, Cacioppo JT:Attitudes and Persuasion: Classic and Contemporary Approaches. Dubuque, IA: Brown, 1981.

    Google Scholar 

  76. Petty RE, Priester JR: Mass media attitude change: Implications of the elaboration likelihood model of persuasion. In Bryant J, Zillmann D (eds),Media Effects. Advances in Theory and Research. Hillsdale, NJ: Lawrence Erlbaum Associates, 1994, 91–122.

    Google Scholar 

  77. Ong LM, de Haes JC, Hoos AM, Lammes FB: Doctorpatient communication: A review of the literature.Social Science & Medicine. 1995,40:903–918.

    CAS  Google Scholar 

  78. Dutta-Bergman MJ: The relation between health-orientation, provider-patient communication, and satisfaction: An individual-difference approach.Health Communication. 2005,18:291–303.

    PubMed  Google Scholar 

  79. Dutta-Bergman MJ: Developing a profile of consumer intention to seek out additional information beyond a doctor: The role of communicative and motivation variables.Health Communication. 2005,17:1–16.

    PubMed  Google Scholar 

  80. Dutta-Bergman MJ: The readership of health magazines: The role of health orientation.Health Marking Quarterly. 2004,22:27–49.

    Google Scholar 

  81. Omenn GS: Genomics and public health: A vision for the future. In Hernanadez LM (ed),Implications of Genomics for Public Health: Workshop Summary. Washington DC: Institute of Medicine, The National Academies Press, 2005, 5.

    Google Scholar 

  82. Oldenburg B, Parcel GS: Diffusion of innovations. In Glanz K, Rimer BK, Lewis FM (eds),Health Behavior and Health Education: Theory, Research, and Practice (3rd Ed.). New York: Jossey-Bass, 2002, 312–334.

    Google Scholar 

  83. Burke W: Genetic testing in primary care.Annual Review of Genomics and Human Genetics. 2004,5:1–14.

    PubMed  CAS  Google Scholar 

  84. Burke W, Acheson L, Botkin J, et al.: Genetics in primary care: A USA faculty development initiative.Community Genetics. 2002,5:138–146.

    PubMed  Google Scholar 

  85. Burke W, Emery J: Genetics education for primary-care providers. Nature reviews.Genetics. 2002,3:561–566.

    PubMed  CAS  Google Scholar 

  86. Gramling R, Nash J, Siren K, Culpepper L: Predictive genetics in primary care: Expectations for the motivational impact of genetic testing affects the importance family physicians place on screening for familial cancer risk.Genetics in Medicine. 2003,5:172–175.

    PubMed  Google Scholar 

  87. Culler D, Grimes SJ, Acheson LS, Wiesner GL: Cancer genetics in primary care.Primary Care. 2004,31:649–683, xi.

    PubMed  Google Scholar 

  88. Hesse BW, Nelson DE, Kreps GL, et al.: Trust and sources of health information: The impact of the Internet and its implications for health care providers: Findings from the first Health Information National Trends Survey.Archives of Internal Medicine. 2005,165:2618–2624.

    PubMed  Google Scholar 

  89. Bowen DJ, Burke W, Press NA, et al.: Recruiting families into prevention research: The suntalk study.Annals of Behavioral Medicine. 2005,33:S018.

    Google Scholar 

  90. Karliner LS, Napoles-Springer A, Kerlikowske K, et al.: Missed opportunities: Family history and behavioral risk factors in breast cancer risk assessment among a multiethnic group of women.Journal of General Internal Medicine. 2007,22:308–314.

    PubMed  Google Scholar 

  91. Ziogas A, Anton-Culver HL: Validation of family history data in cancer family registries.American Journal of Preventive Medicine. 2003,24:190–198.

    PubMed  Google Scholar 

  92. Shields AE, Blumenthal D, Weiss KB, et al.: Barriers to translating emerging genetic research on smoking into clinical practice. Perspectives of primary care physicians.Journal of General Internal Medicine. 2005,20:131–138.

    PubMed  Google Scholar 

  93. Barrison AF, Smith C, Oviedo J, Heeren T, Schroy PC III: Colorectal cancer screening and familial risk: A survey of internal medicine residents’ knowledge and practice patterns.The American Journal of Gastroenterology. 2003,98:1410–1416.

    PubMed  Google Scholar 

  94. Gramling R, Nash J, Siren K, Eaton C, Culpepper L: Family physician self-efficacy with screening for inherited cancer risk.Annals of Family Medicine. 2004,2:130–132.

    PubMed  Google Scholar 

  95. Wideroff L, Vadaparampil ST, Greene MH, et al.: Hereditary breast/ovarian and colorectal cancer genetics knowledge in a national sample of US physicians.Journal of Medical Genetics. 2005,42:749–755.

    PubMed  CAS  Google Scholar 

  96. Schroy PC III, Barrison AF, Ling BS, Wilson S, Geller AC: Family history and colorectal cancer screening: A survey of physician knowledge and practice patterns.The American Journal of Gastroenterology. 2002,97:1031–1036.

    PubMed  Google Scholar 

  97. Kefford RF, Newton Bishop JA, Bergman W, Tucker MA: Counseling and DNA testing for individuals perceived to be genetically predisposed to melanoma: A consensus statement of the Melanoma Genetics Consortium.Journal of Clinical Oncology. 1999,17:3245–3251.

    PubMed  CAS  Google Scholar 

  98. Armstrong K, Weber B, Ubel PA, Guerra C, Schwartz JS: Interest in BRCA1/2 testing in a primary care population.Preventive Medicine. 2002,34:590–595.

    PubMed  Google Scholar 

  99. White DB, Jenkins J, Vonham V, Stevens N, McBride CM: Too many referrals for BRCA1 and BRCA2 genetic services by family physicians?Annals of Behavioral Medicine. 2007,33:S093.

    Google Scholar 

  100. Gramling R, Anthony D, Lowery J, et al.: Association between screening family medical history in general medical care and lower burden of cancer worry among women with a close family history of breast cancer.Genetics in Medicine. 2005,7:640–645.

    PubMed  Google Scholar 

  101. Blazer KR, MacDonald DJ, Ricker C, et al.: Outcomes from intensive training in genetic cancer risk counseling for clinicians.Genetics in Medicine. 2005,7:40–47.

    PubMed  Google Scholar 

  102. Piniewski-Bond J, Celestino PB, Mahoney MC, et al.: A cancer genetics education campaign: Delivering parallel messages to clinicians and the public.Journal of Cancer Education. 2003,18:96–99.

    PubMed  Google Scholar 

  103. Centers for Disease Control and Prevention, Office of Genomics and Disease Prevention:Genomics and Population Health, United States, 2003. Atlanta, GA: Centers for Disease Control and Prevention, Office of Genomics and Disease Prevention, 2004.

    Google Scholar 

  104. Marteau TM, Lerman C: Genetic risk and behavioural change.British Medical Journal. 2001,322:1056–1059.

    PubMed  CAS  Google Scholar 

  105. Frosch DL, Mello P, Lerman C: Behavioral consequences of testing for obesity risk.Cancer Epidemiology, Biomarkers & Prevention. 2005,14:1485–1489.

    Google Scholar 

  106. Ryder K, Haubrich DJ, Calla D, et al.: Psychosocial impact of repeat HIV-negative testing: A follow-up study.AIDS and Behavior. 2005,9:459–464.

    PubMed  Google Scholar 

  107. Audrain-McGovern J, Hughes C, Patterson F: Effecting behavior change: Awareness of family history.American Journal of Preventive Medicine. 2003,24:183–189.

    PubMed  Google Scholar 

  108. Bowen DJ, Ludman E, Press N, Vu T, Burke W: Achieving utility with family history: Colorectal cancer risk.American Journal of Preventive Medicine. 2003,24:177–182.

    PubMed  Google Scholar 

  109. Burke W: Taking family history seriously.Annals of Internal Medicine. 2005,143:388–389.

    PubMed  Google Scholar 

  110. Guttmacher AE, Collins FS, Carmona RH: The family history—More important than ever.New England Journal of Medicine. 2004,351:2333–2336.

    PubMed  CAS  Google Scholar 

  111. Yoon PW, Scheuner MT, Peterson-Oehlke KL, et al.: Can family history be used as a tool for public health and preventive medicine?Genetics in Medicine. 2002,4:304–310.

    PubMed  Google Scholar 

  112. Lipkus IM, McBride CM, Pollak KI, Lyna P, Bepler G: Interpretation of genetic risk feedback among African American smokers with low socioeconomic status.Health Psychology. 2004,23:178–188.

    PubMed  Google Scholar 

  113. McBride CM, Bepler G, Lipkus IM, et al. Incorporating genetic susceptibility feedback into a smoking cessation program for African-American smokers with low income.Cancer Epidemiology, Biomarkers & Prevention. 2002,11:521–528.

    Google Scholar 

  114. McBride CM, Lipkus IM, Jolly D, Lyna P: Interest in testing for genetic susceptibility to lung cancer among Black college students “at risk” of becoming cigarette smokers.Cancer Epidemiology, Biomarkers & Prevention. 2005,14:2978–2981.

    CAS  Google Scholar 

  115. McBride CM, Pollak KI, Bepler G, et al.: Reasons for quitting smoking among low-income African American smokers.Health Psychology. 2001,20:334–340.

    PubMed  CAS  Google Scholar 

  116. McBride CM, Halabi S, Bepler G, et al.: Maximizing the motivational impact of feedback of lung cancer susceptibility on smokers’ desire to quit.Journal of Health Communication. 2000,5:229–241.

    PubMed  CAS  Google Scholar 

  117. Ostroff JS, Hay JL, Primavera LH, et al.: Motivating smoking cessation among dental patients: Smokers’ interest in biomarker testing for susceptibility to tobacco-related cancers.Nicotine & Tobacco Research. 1999,1:347–355.

    CAS  Google Scholar 

  118. Lerman C, Gold K, Audrain J, et al.: Incorporating biomarkers of exposure and genetic susceptibility into smoking cessation treatment: Effects on smoking-related cognitions, emotions, and behavior change.Health Psychology. 1997,16:87–99.

    PubMed  CAS  Google Scholar 

  119. McClure JB. Are biomarkers a useful aid in smoking cessation? A review and analysis of the literature.Behavioral Medicine. 2001,27:37–47.

    PubMed  CAS  Google Scholar 

  120. Merikangas KR, Risch N: Genomic priorities and public health.Science. 2003,302:599–601.

    PubMed  CAS  Google Scholar 

  121. Carlsten C, Burke W: Potential for genetics to promote public health: Genetics research on smoking suggests caution about expectations.Journal of the American Medical Association. 2006,296:2480–2482.

    PubMed  CAS  Google Scholar 

  122. Shostak S: Locating gene-environment interaction: At the intersections of genetics and public health.Social Science & Medicine. 2003,56:2327–2342.

    Google Scholar 

  123. Sallis JF, Owen N: Ecological models of health behavior. In Glanz K, Rimer BK, Lewis FM (eds),Health Behavior and Health Education: Theory, Research, and Practice (3rd Ed.). New York: Jossey-Bass, 2002, 462–484.

    Google Scholar 

  124. Bowen DJ, Beresford SAA, Diergaarde B: Social and psychological aspects of ecogenetics. In Costa LG, Eaton DL (eds),Gene-Environment Interactions: Fundamentals of Ecogenetics. New York: Wiley-Liss, 2006, 397–409.

    Google Scholar 

  125. Stokols D: Translating social ecological theory into guidelines for community health promotion.American Journal of Health Promotion. 1996,10:282–298.

    PubMed  CAS  Google Scholar 

  126. Wang C, Bowen DJ, Kardia SL: Research and practice opportunities at the intersection of health education, health behavior, and genomics.Health Education & Behavior. 2005,32:686–701.

    Google Scholar 

  127. Novilla ML, Barnes MD, De La Cruz NG, Williams PN, Rogers J: Public health perspectives on the family: An ecological approach to promoting health in the family and community.Family Community Health. 2006,29:28–42.

    PubMed  Google Scholar 

  128. Buller DB, Buller MK, Kane I: Web-based strategies to disseminate a sun safety curriculum to public elementary schools and state-licensed child-care facilities.Health Psychology. 2005,24:470–476.

    PubMed  Google Scholar 

  129. Glanz K, Steffen A, Elliott T, O’Riordan D: Diffusion of an effective skin cancer prevention program: Design, theoretical foundations, and first-year implementation.Health Psychology. 2005,24:477–487.

    PubMed  Google Scholar 

  130. Lewis E, Mayer JA, Slymen D, et al.: Disseminating a sun safety program to zoological parks: The effects of tailoring.Health Psychology. 2005,24:456–462.

    PubMed  Google Scholar 

  131. Kardia S: Bridging genomics and population health. In Hernandez LM (ed),Implications of Genomics for Public Health: Workshop Summary. Washington, DC: Institute of Medicine, The National Academies Press, 2005, 10.

    Google Scholar 

  132. Garraway LA, Widlund HR, Rubin MA, et al.: Integrative genomic analyses identify MITF as a lineage survival oncogene amplified in malignant melanoma.Nature. 2005,436:117–122.

    PubMed  CAS  Google Scholar 

  133. Curtin JA, Fridlyand J, Kageshita T, et al.: Distinct sets of genetic alterations in melanoma.New England Journal of Medicine. 2005,353:2135–2147.

    PubMed  CAS  Google Scholar 

  134. Landi MT, Bauer J, Pfeiffer RM, et al.: MC1R germline variants confer risk for BRAF-mutant melanoma.Science. 2006,313:521–522.

    PubMed  CAS  Google Scholar 

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This article was completed under the grant support of R01 CA107430 to Deborah Bowen, K07 CA98106 to Jennifer Hay, and K05K100051 to Joni Mayer.

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Hay, J.L., Meischke, H.W., Bowen, D.J. et al. Anticipating dissemination of cancer genomics in public health: A theoretical approach to psychosocial and behavioral challenges. ann. behav. med. 34, 275–286 (2007). https://doi.org/10.1007/BF02874552

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