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Chen LS, Baker TB, Ramsey A, Amos CI, Bierut LJ. Genomic medicine to reduce tobacco and related disorders: Translation to precision prevention and treatment. ADDICTION NEUROSCIENCE 2023; 7:100083. [PMID: 37602286 PMCID: PMC10434839 DOI: 10.1016/j.addicn.2023.100083] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/22/2023]
Abstract
Genomic medicine can enhance prevention and treatment. First, we propose that advances in genomics have the potential to enhance assessment of disease risk, improve prognostic predictions, and guide treatment development and application. Clinical implementation of polygenic risk scores (PRSs) has emerged as an area of active research. The pathway from genomic discovery to implementation is an iterative process. Second, we provide examples on how genomic medicine has the potential to solve problems in prevention and treatment using two examples: Lung cancer screening and evidence-based tobacco treatment are both under-utilized and great opportunities for genomic interventions. Third, we discuss the translational process for developing genomic interventions from evidence to implementation by presenting a model to evaluate genomic evidence for clinical implementation, mechanisms of genomic interventions, and patient desire for genomic interventions. Fourth, we present potential challenges in genomic interventions including a great need for evidence in all diverse populations, little evidence on treatment algorithms, challenges in accommodating a dynamic evidence base, and implementation challenges in real world clinical settings. Finally, we conclude that research to identify genomic markers that are associated with smoking cessation success and the efficacy of smoking cessation treatments is needed to empower people of all diverse ancestry. Importantly, genomic data can be used to help identify patients with elevated risk for nicotine addiction, difficulty quitting smoking, favorable response to specific pharmacotherapy, and tobacco-related health problems.
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Affiliation(s)
- Li-Shiun Chen
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States
- Alvin J. Siteman Cancer Center at Barnes-Jewish Hospital, Washington University School of Medicine, St. Louis, MO, United States
| | - Timothy B. Baker
- Center for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin, Madison, WI, United States
| | - Alex Ramsey
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States
- Alvin J. Siteman Cancer Center at Barnes-Jewish Hospital, Washington University School of Medicine, St. Louis, MO, United States
| | - Christopher I. Amos
- Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Hanover, NH, United States
- Department of Medicine, Baylor College of Medicine, Institute for Clinical and Translational Research, Houston, TX, United States
| | - Laura J. Bierut
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States
- Alvin J. Siteman Cancer Center at Barnes-Jewish Hospital, Washington University School of Medicine, St. Louis, MO, United States
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Law WK, Yaremych HE, Ferrer RA, Richardson E, Wu YP, Turbitt E. Decision-making about genetic health information among family dyads: a systematic literature review. Health Psychol Rev 2021; 16:412-429. [PMID: 34546151 DOI: 10.1080/17437199.2021.1980083] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Decisions involving two individuals (i.e., dyadic decision-making) have been increasingly studied in healthcare research. There is evidence of bi-directional influences in decision-making processes among spousal, provider-patient and parent-child dyads. Genetic information can directly impact biologically related individuals. Thus, it is important to understand dyadic decision-making about genetic health information among family members. This systematic literature review aimed to identify literature examining decision-making among family dyads. Peer-reviewed publications were included if they reported quantitative empirical research on dyadic decision-making about genetic information, published between January 1998 and August 2020 and written in English. The search was conducted in 6 databases and returned 3167 articles, of which 15 met the inclusion criteria. Most studies were in the context of cancer genetic testing (n = 8) or reproductive testing or screening (n = 5). Studies reported two broad categories of decisions with dyadic influence: undergoing screening or testing (n = 10) and sharing information with family (n = 5). Factors were correlated between dyads such as attitudes, knowledge, behaviors and psychological wellbeing. Emerging evidence shows that dyad members influence each other when making decisions about receiving or sharing genetic information. Our findings emphasize the importance of considering both members of a dyad in intervention design and clinical interactions.
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Affiliation(s)
- Wai Ki Law
- The Discipline of Genetic Counselling, The University of Technology Sydney, Ultimo, Australia
| | - Haley E Yaremych
- Department of Psychology & Human Development, Vanderbilt University, Nashville, TN, USA.,Social and Behavioral Research Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Rebecca A Ferrer
- Basic Biobehavioral and Psychological Sciences Branch, National Cancer Institute, Bethesda, MD, USA
| | - Ebony Richardson
- The Discipline of Genetic Counselling, The University of Technology Sydney, Ultimo, Australia
| | - Yelena P Wu
- Department of Dermatology, University of Utah, Salt Lake City, UT, USA.,Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Erin Turbitt
- The Discipline of Genetic Counselling, The University of Technology Sydney, Ultimo, Australia.,Social and Behavioral Research Branch, National Human Genome Research Institute, Bethesda, MD, USA
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Bourdon JL, Dorsey A, Zalik M, Pietka A, Salyer P, Bray MJ, Bierut LJ, Ramsey AT. In-vivo design feedback and perceived utility of a genetically-informed smoking risk tool among current smokers in the community. BMC Med Genomics 2021; 14:139. [PMID: 34039360 PMCID: PMC8152342 DOI: 10.1186/s12920-021-00976-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 05/05/2021] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND The use of genetically-informed personalized risk information for behavioral disorders, namely smoking and smoking-related behaviors, is a promising yet understudied area. The Genetics and Smoking Risk Profile, or RiskProfile, leverages genetic and environmental information to communicate one's risk for smoking-related diseases. Although prior studies have examined attitudes toward genetic results, little research has investigated these perceptions through a lens of in-vivo testing; that is, user-centered design feedback in response to personalized genetic results being returned contemporaneously. This qualitative study engaged current smokers in usability testing of the RiskProfile within the context of concurrently receiving this personalized, genetically-informed smoking cessation intervention. METHODS Eighty-nine participants who were current smokers responded to open-ended interview questions on perceptions of smoking-related genetic information and the content and format of the RiskProfile intervention that they had received moments before. Data were analyzed via the conventional content analysis approach in which themes were allowed to emerge throughout the analysis. RESULTS Participants were able to reference and offer design input on specific elements of the RiskProfile. Overall, current smokers perceived the RiskProfile to have high potential utility. Constructive feedback that current smokers offered about the tool centered around suggested improvements to optimize its usability and technical content. CONCLUSIONS The detailed and constructive feedback from participants highlights that in-vivo feedback offers a useful design approach that addresses concerns of rigor and relevance when returning genetic results. This unique method demonstrated perceived utility and constructive design feedback for the RiskProfile among current smokers and can play an important role in optimizing the design and implementation of personalized genetic risk interventions moving forward.
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Affiliation(s)
- Jessica L Bourdon
- Wellbridge Center for Addiction Treatment and Research, Center for Addiction Science, 525 Jan Way, Room 1523, Calverton, NY, 11922, USA.
| | - Amelia Dorsey
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | - Maia Zalik
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | - Amanda Pietka
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | - Patricia Salyer
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | - Michael J Bray
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | - Laura J Bierut
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | - Alex T Ramsey
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
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Ramsey AT, Bourdon JL, Bray M, Dorsey A, Zalik M, Pietka A, Salyer P, Chen LS, Baker TB, Munafò MR, Bierut LJ. Proof of Concept of a Personalized Genetic Risk Tool to Promote Smoking Cessation: High Acceptability and Reduced Cigarette Smoking. Cancer Prev Res (Phila) 2020; 14:253-262. [PMID: 32958583 DOI: 10.1158/1940-6207.capr-20-0328] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 08/16/2020] [Accepted: 09/15/2020] [Indexed: 02/07/2023]
Abstract
Relatively little is known about the possible effects of personalized genetic risk information on smoking, the leading preventable cause of morbidity and mortality. We examined the acceptability and potential behavior change associated with a personalized genetically informed risk tool (RiskProfile) among current smokers. Current smokers (n = 108) were enrolled in a pre-post study with three visits. At visit 1, participants completed a baseline assessment and genetic testing via 23andMe. Participants' raw genetic data (CHRNA5 variants) and smoking heaviness were used to create a tailored RiskProfile tool that communicated personalized risks of smoking-related diseases and evidence-based recommendations to promote cessation. Participants received their personalized RiskProfile intervention at visit 2, approximately 6 weeks later. Visit 3 involved a telephone-based follow-up assessment 30 days after intervention. Of enrolled participants, 83% were retained across the three visits. Immediately following intervention, acceptability of RiskProfile was high (M = 4.4; SD = 0.6 on scale of 1 to 5); at 30-day follow-up, 89% of participants demonstrated accurate recall of key intervention messages. In the full analysis set of this single-arm trial, cigarettes smoked per day decreased from intervention to 30-day follow-up [11.3 vs. 9.8; difference = 1.5; 95% confidence interval (0.6-2.4); P = 0.001]. A personalized genetically informed risk tool was found to be highly acceptable and associated with a reduction in smoking, although the absence of a control group must be addressed in future research. This study demonstrates proof of concept for translating key basic science findings into a genetically informed risk tool that was used to promote progress toward smoking cessation.Prevention Relevance: This study demonstrates that personal genetic information can be incorporated into a risk feedback tool that was highly acceptable to current smokers and associated with reductions in smoking. These findings may pave the way for effectiveness and implementation research on genetically-informed behavior change interventions to enhance cancer prevention efforts.
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Affiliation(s)
- Alex T Ramsey
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri.
| | - Jessica L Bourdon
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Michael Bray
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Amelia Dorsey
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Maia Zalik
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Amanda Pietka
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Patricia Salyer
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Li-Shiun Chen
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Timothy B Baker
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Marcus R Munafò
- School of Psychological Science, University of Bristol, Bristol, England, United Kingdom.,MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, England, United Kingdom
| | - Laura J Bierut
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
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McBride CM, Graves KD, Kaphingst KA, Allen CG, Wang C, Arredondo E, Klein WMP. Behavioral and social scientists' reflections on genomics: a systematic evaluation within the Society of Behavioral Medicine. Transl Behav Med 2020; 9:1012-1019. [PMID: 30950497 DOI: 10.1093/tbm/ibz044] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Clinical and public health translation of genomics could be facilitated by expertise from behavioral medicine, yet genomics has not been a significant focus of the Society of Behavioral Medicine (SBM). SBM convened a working group (WG) to lead a systematic exploration of members' views on: (a) whether SBM should give a higher priority to genomic translation and (b) what efforts, if any, should be made to support this increased engagement. The WG used a stepped process over 2 years that began by gaining input from SBM leadership regarding key issues and suggestions for approach, engaging a cross section of membership to expand and record these discussions, followed by systematic qualitative analyses to inform priority action steps. Discussions with SBM leaders and members suggested that genomics was relevant to SBM, particularly for junior members. SBM members' expertise in social and behavioral theory, and implementation study designs, were viewed as highly relevant to genomic translation. Participants expressed that behavioral and social scientists should be engaged in translational genomics work, giving special attention to health disparities. Proposed action steps are aligned with a "push-pull" framework of innovation dissemination. "Push" strategies aim to reach potential adopters and included linking members with genomics expertise to those wanting to become involved and raising awareness of evidence-based genomic applications ready for implementation. "Pull" strategies aim to expand demand and included developing partnerships with genomics societies and advocating for funding, study section modifications, and training programs.
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Affiliation(s)
- Colleen M McBride
- Department of Behavioral Sciences and Health Education, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Kristi D Graves
- Fisher Center for Hereditary Cancer, Georgetown University, Washington, DC, USA
| | | | - Caitlin G Allen
- Department of Behavioral Sciences and Health Education, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Catharine Wang
- Community Sciences Department, Boston University School of Public Health, Boston, MA, USA
| | - Elva Arredondo
- Division of Health Promotion and Behavioral Science, School of Public Health, San Diego State University, San Diego, CA, USA
| | - William M P Klein
- Division of Cancer Control and Population Science, National Cancer Institute, Bethesda, MD, USA
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Ramsey AT, Bray M, Acayo Laker P, Bourdon JL, Dorsey A, Zalik M, Pietka A, Salyer P, Waters EA, Chen LS, Bierut LJ. Participatory Design of a Personalized Genetic Risk Tool to Promote Behavioral Health. Cancer Prev Res (Phila) 2020; 13:583-592. [PMID: 32209550 PMCID: PMC7335332 DOI: 10.1158/1940-6207.capr-20-0029] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 02/28/2020] [Accepted: 03/20/2020] [Indexed: 02/07/2023]
Abstract
Despite major advancements in genomic medicine, research to optimize the design and communication of genetically informed interventions in behavioral health has lagged. The goal of this study was to engage potential end users in participatory codesign of a personalized genetically informed risk tool to intervene on high-risk health behaviors. We used structured interviews to examine end-user attitudes and interest in personalized genetics, qualitative interviews to guide iterative design of a genetically informed tool, and questionnaires to assess acceptability and potential utility of the tool. Participants expressed strong demand for using personal genetics to inform smoking and alcohol-related disease risk and guide treatment (78%-95% agreed). Via iterative design feedback, we cocreated a genetically informed risk profile featuring (i) explanation of genetic and phenotypic markers used to construct a risk algorithm, (ii) personalized risks and benefits of healthy behavior change, and (iii) recommended actions with referral to freely available resources. Participants demonstrated sufficient understanding and cited motivating behavior change as the most useful purpose of the tool. In three phases, we confirmed strong desire for personalized genetics on high-risk health behaviors; codesigned a genetically informed profile with potential end users; and found high acceptability, comprehensibility, and perceived usefulness of the profile. As scientific discovery of genomic medicine advances in behavioral health, we must develop the tools to communicate these discoveries to consumers who stand to benefit. The potential of genomic medicine to engage populations and personalize behavioral health treatment depends, in part, on preparatory studies to design for the future implementation of genetically informed interventions.
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Affiliation(s)
- Alex T Ramsey
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri.
| | - Michael Bray
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Penina Acayo Laker
- Communication Design, Sam Fox School of Design & Visual Arts, Washington University, St. Louis, Missouri
| | - Jessica L Bourdon
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Amelia Dorsey
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Maia Zalik
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Amanda Pietka
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Patricia Salyer
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Erika A Waters
- Department of Surgery, Washington University School of Medicine, St. Louis, Missouri
| | - Li-Shiun Chen
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Laura J Bierut
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
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