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Chen T, Pham G, Fox L, Zhang J, Byun J, Han Y, Saunders GRB, Liu D, Bray MJ, Ramsey AT, McKay J, Bierut L, Amos CI, Hung RJ, Lin X, Zhang H, Chen LS. Genomic Insights for Personalized Care: Motivating At-Risk Individuals Toward Evidence-Based Health Practices. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.03.19.24304556. [PMID: 38562690 PMCID: PMC10984046 DOI: 10.1101/2024.03.19.24304556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Lung cancer and tobacco use pose significant global health challenges and require a comprehensive translational roadmap for improved prevention strategies. We propose the GREAT care paradigm ( G enomic Informed Care for Motivating High R isk Individuals E ligible for Evidence-b a sed Prevention), which employs polygenic risk scores (PRSs) to stratify disease risk and personalize interventions, such as lung cancer screening and tobacco treatment. We developed PRSs using large-scale multi-ancestry genome-wide association studies and adjusted for genetic ancestry for standardized risk stratification across diverse populations. We applied our PRSs to over 340,000 individuals of diverse ethnic background and found significant odds ratios for lung cancer and difficulty quitting smoking. These findings enable the evaluation of PRS-based interventions in ongoing trials aimed at motivating health behavior changes in high-risk patients. This pioneering approach enhances primary care with genomic insights, promising improved outcomes in cancer prevention and tobacco treatment, and is currently under assessment in clinical trials.
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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: 1] [Impact Index Per Article: 1.0] [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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Ramsey AT, Cavazos-Rehg PA, Chen LS, Bierut LJ. Leveraging Implementation Science in the Treatment of Tobacco Use Disorder. MISSOURI MEDICINE 2023; 120:285-291. [PMID: 37609466 PMCID: PMC10441270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
The tobacco use disorder field has an armamentarium of approaches to help people quit smoking: medication-based treatment for tobacco use, digital therapeutics for just-intime behavioral interventions, genetic and metabolic biomarkers to guide tobacco treatment, to name a few. Whether the treatment approach is old or new, an underlying truth remains: the benefit is only as great as the extent to which these treatment approaches reach individuals who need them most and prove effective and feasible to implement in real-world settings. Further, certain treatments tend to be used more robustly in practice, namely, those that address a great need yet are low in cost, burden, and risk of clinical harms. This is where implementation science comes in, providing guidance on how best to get effective treatments adopted and used in clinical and community settings. Implementation science holds the keys to the uptake and routine use of evidence-based treatments and should be more fully leveraged in the tobacco use disorder field. At the same time, disruptive technologies in treatment are breaking new ground, pushing the field of implementation science to build a bigger "toolbox" of ways to improve access and quality of treatment in an ever-evolving landscape. In this paper, we underscore this synergy between tobacco treatment and implementation science. We spotlight emerging trends in tobacco use, effective and emerging treatment approaches for tobacco use, and ways that implementation science intersects with the current and evolving landscape of tobacco use and substance use disorder more broadly.
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Affiliation(s)
- Alex T Ramsey
- Associate Professor, Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Patricia A Cavazos-Rehg
- Professor, Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Li-Shiun Chen
- Professor, Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Laura J Bierut
- Alumni Endowed Professor, Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
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Cooley ME, Castaldi PJ, Mazzola E, Blazey MU, Nayak MM, Healey MJ, Lathan CS, Borondy-Kitts A, DeMarco RF, Kim SS. Protocol for a randomized controlled trial of the Enhanced Smoking Cessation Approach to Promote Empowerment (ESCAPE) digitalized intervention to promote lung health in high-risk individuals who smoke. Contemp Clin Trials 2023; 124:107005. [PMID: 36396069 DOI: 10.1016/j.cct.2022.107005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 11/09/2022] [Accepted: 11/10/2022] [Indexed: 11/16/2022]
Abstract
Low dose computed tomography (LDCT) is an effective screening test to decrease lung cancer deaths. Lung cancer screening may be a teachable moment helping people who smoke to quit, which may result in increased benefit of screening. Innovative strategies are needed to engage high-risk individuals in learning about LDCT screening. More precise methods such as polygenic risk scores quantify genetic predisposition to tobacco use, and optimize lung health interventions. We present the ESCAPE (Enhanced Smoking Cessation Approach to Promote Empowerment) protocol. This study will test a smoking cessation intervention using personal stories and a lung cancer screening decision-aide compared to standard care (brief advice, referral to a quit line, and a lung cancer screening decision-aide), examine the relationship between a polygenic risk score and smoking abstinence, and describe perceptions about integration of genomic information into smoking cessation treatment. A randomized controlled trial followed by a sequential explanatory mixed methods approach will compare the efficacy of the interventions. Interviews will add insight into the use of genomic information and risk perceptions to tailor smoking cessation treatment. Two-hundred and fifty individuals will be recruited from primary care, community-based organizations, mailing lists and through social media. Data will be collected at baseline, 1, 3 and 6-months. The primary outcomes are 7-day point prevalence smoking abstinence and stage of lung cancer screening at 6-months. The results from this study will provide information to refine the ESCAPE intervention and facilitate integration of precision health into future lung health interventions. Clinical trial registration number: NCT0469129T.
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Affiliation(s)
- Mary E Cooley
- Phyllis F. Cantor Center, Research in Nursing and Patient Care Services, Dana-Farber Cancer Institute, 450 Brookline Ave, Boston, MA 02115, United States of America.
| | - Peter J Castaldi
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, United States of America.
| | - Emanuele Mazzola
- Department of Data Science, Dana-Farber Cancer Institute, 450 Brookline Ave, CLSB 11007, Boston, MA 02115, United States of America.
| | - Meghan Underhill Blazey
- School of Nursing, University of Rochester, 601 Elmwood Ave, Rochester, NY 14642, United States of America.
| | - Manan M Nayak
- Phyllis F. Cantor Center, Research in Nursing and Patient Care Services, Dana-Farber Cancer Institute, 450 Brookline Ave, Boston, MA 02115, United States of America.
| | - Michael J Healey
- Division of General Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, United States of America.
| | - Christopher S Lathan
- Department of Medicine, Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, 450 Brookline Ave, Boston, MA 02115, United States of America.
| | | | - Rosanna F DeMarco
- Department of Nursing, Robert and Donna Manning College of Nursing and Health Sciences, University of Massachusetts Boston, 100 Morrissey Blvd, Boston, MA 02125, United States of America.
| | - Sun S Kim
- Department of Nursing, Robert and Donna Manning College of Nursing and Health Sciences, University of Massachusetts Boston, 100 Morrissey Blvd, Boston, MA 02125, United States of America.
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Dunlop K, Rankin NM, Smit AK, Salgado Z, Newson AJ, Keogh L, Cust AE. Acceptability of risk-stratified population screening across cancer types: Qualitative interviews with the Australian public. Health Expect 2021; 24:1326-1336. [PMID: 33974726 PMCID: PMC8369084 DOI: 10.1111/hex.13267] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 03/12/2021] [Accepted: 04/10/2021] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND There is mounting evidence of the benefit of risk-stratified (risk-tailored) cancer population screening, when compared to standard approaches. However, shifting towards this approach involves changes to practice that may give rise to implementation challenges. OBJECTIVES To explore the public's potential acceptance of risk-stratified screening across different cancer types, including reducing screening frequency if at low risk and the use of personal risk information, to inform implementation strategies. METHOD Semi-structured interviews were conducted with 40 public participants; half had received personal genomic risk information and half had not. Participants were prompted to consider different cancers. Data were analysed thematically as one dataset. RESULTS Themes included the following: (a) a sense of security; (b) tailored screening is common sense; (c) risk and the need to take action; (d) not every cancer is the same; and (e) trust and belief in health messages. Both groups expressed similar views. Participants were broadly supportive of risk-stratified screening across different cancer types, with strong support for increased screening frequency for high-risk groups. They were less supportive of reduced screening frequency or no screening for low-risk groups. Findings suggest the public will be amenable to reducing screening when the test is invasive and uncomfortable; be less opposed to forgo screening if offered the opportunity to screen at some stage; and view visible cancers such as melanoma differently. CONCLUSIONS Approaching distinct cancer types differently, tailoring messages for different audiences and understanding reasons for participating in screening may assist with designing future implementation strategies for risk-stratified cancer screening.
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Affiliation(s)
- Kate Dunlop
- Daffodil CentreThe University of Sydney, a joint venture with Cancer Council NSWSydneyNSWAustralia
- Melanoma Institute AustraliaThe University of SydneySydneyNSWAustralia
| | - Nicole M. Rankin
- Sydney School of Public Health, The Faculty of Medicine and HealthThe University of SydneySydneyNSWAustralia
| | - Amelia K. Smit
- Daffodil CentreThe University of Sydney, a joint venture with Cancer Council NSWSydneyNSWAustralia
- Melanoma Institute AustraliaThe University of SydneySydneyNSWAustralia
| | - Zofia Salgado
- Daffodil CentreThe University of Sydney, a joint venture with Cancer Council NSWSydneyNSWAustralia
| | - Ainsley J. Newson
- Sydney Health Ethics, Sydney School of Public Health, The Faculty of Medicine and HealthThe University of SydneySydneyNSWAustralia
| | - Louise Keogh
- Melbourne School of Population and Global HealthThe University of MelbourneMelbourneVICAustralia
| | - Anne E. Cust
- Daffodil CentreThe University of Sydney, a joint venture with Cancer Council NSWSydneyNSWAustralia
- Melanoma Institute AustraliaThe University of SydneySydneyNSWAustralia
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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] [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. Supplementary Information The online version contains supplementary material available at 10.1186/s12920-021-00976-1.
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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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Bourdon JL, Davies RA, Long EC. Four Actionable Bottlenecks and Potential Solutions to Translating Psychiatric Genetics Research: An Expert Review. Public Health Genomics 2020; 23:171-183. [PMID: 33147585 PMCID: PMC7854816 DOI: 10.1159/000510832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Accepted: 07/27/2020] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Psychiatric genetics has had limited success in translational efforts. A thorough understanding of the present state of translation in this field will be useful in the facilitation and assessment of future translational progress. PURPOSE A narrative literature review was conducted. Combinations of 3 groups of terms were searched in EBSCOhost, Google Scholar, and PubMed. The review occurred in multiple steps, including abstract collection, inclusion/exclusion criteria review, coding, and analysis of included papers. RESULTS One hundred and fourteen articles were analyzed for the narrative review. Across those, 4 bottlenecks were noted that, if addressed, may provide insights and help improve and increase translation in the field of psychiatric genetics. These 4 bottlenecks are emphasizing linear translational frameworks, relying on molecular genomic findings, prioritizing certain psychiatric disorders, and publishing more reviews than experiments. CONCLUSIONS These entwined bottlenecks are examined with one another. Awareness of these bottlenecks can inform stakeholders who work to translate and/or utilize psychiatric genetic information. Potential solutions include utilizing nonlinear translational frameworks as well as a wider array of psychiatric genetic information (e.g., family history and gene-environment interplay) in this area of research, expanding which psychiatric disorders are considered for translation, and when possible, conducting original research. Researchers are urged to consider how their research is translational in the context of the frameworks, genetic information, and psychiatric disorders discussed in this review. At a broader level, these efforts should be supported with translational efforts in funding and policy shifts.
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Affiliation(s)
- Jessica L Bourdon
- Department of Psychiatry, Brown School of Social Work, Washington University in St. Louis, St. Louis, Missouri, USA,
| | - Rachel A Davies
- Yerkes National Primate Research Center, Division of Behavioral Neuroscience and Psychiatric Disorders, Emory University, Atlanta, Georgia, USA
| | - Elizabeth C Long
- Edna Bennett Pierce Prevention Research Center, Pennsylvania State University, University Park, Pennsylvania, 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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Boutwell BB, White MA. Editorial overview: The confluence of human health, psychology, and genetics: new opportunities to grow our understanding of ourselves. Curr Opin Psychol 2020; 27:iv-vii. [PMID: 31262403 DOI: 10.1016/j.copsyc.2019.05.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Affiliation(s)
- Brian B Boutwell
- Criminology and Criminal Justice, Saint Louis University, 3550 Lindell Blvd., St. Louis, MO 63013, United States; Department of Epidemiology and Biostatistics, School of Medicine, United States; Department of Family and Community Medicine, School of Medicine, United States.
| | - Michael A White
- Department of Genetics and Edison Family Center for Genome Sciences and Systems Biology, Washington University in St. Louis School of Medicine, Couch Biomedical Research Building, St. Louis, MO 63110, United States.
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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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11
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Sabi SH, Khabour OF, Alzoubi KH, Cobb CO, Eissenberg T. Changes at global and site-specific DNA methylation of MLH1 gene promoter induced by waterpipe smoking in blood lymphocytes and oral epithelial cells. Inhal Toxicol 2020; 32:124-130. [PMID: 32319830 DOI: 10.1080/08958378.2020.1754972] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Objective: Cigarette tobacco smoking has been shown to cause cancer through different mechanisms that include epigenetic modulation of tumor-suppressor genes. In the present study, the association between global and MLH1 gene promoter methylation and waterpipe tobacco smoking was investigated. Materials and Methods: Blood lymphocytes and oral epithelium were sampled from 150 pure waterpipe smokers and 150 never-smokers from Jordan. Methylation assessment was performed using the methylation-specific PCR technique for MLH1 gene and ELISA for global DNA methylation. Results: Significant increases were shown in global DNA methylation as measured in blood lymphocytes (p < 0.01). In addition, increases in MLH1 gene promoter methylation among waterpipe smokers compared to nonsmokers (p < 0.001) in both oral epithelium and blood lymphocytes was also observed. In addition, strong correlation was found between LWDS-10J dependence score and magnitude of promoter specific methylation of MLH1 (r2 = 0.74-0.78, p < 0.001). Moreover, the percentage of methylated MLH1 promoter was not affected by age or gender (p > 0.05). Discussion and Conclusion: Collectively, the results indicate that waterpipe tobacco use is associated with epigenetic changes that might predispose users to lung and blood cancers. The results highlight the need for actions to discourage waterpipe smoking and can be used in cessation interventions that target this type of smoking.
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Affiliation(s)
- Salsabeel H Sabi
- Department of Applied Biology, Jordan University of Science and Technology, Irbid, Jordan
| | - Omar F Khabour
- Department of Medical laboratory Sciences, Jordan University of Science and Technology, Irbid, Jordan
| | - Karem H Alzoubi
- Department of Clinical Pharmacy, Jordan University of Science and Technology, Irbid, Jordan
| | - Caroline O Cobb
- Department of Psychology and Center for the Study of Tobacco Products, Virginia Commonwealth University, Richmond, VA, USA
| | - Thomas Eissenberg
- Department of Psychology and Center for the Study of Tobacco Products, Virginia Commonwealth University, Richmond, VA, USA
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12
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Graves KD, Hall MJ, Tercyak KP. Introduction to the Special Issue on Clinical and Public Health Genomics: Opportunities for translational behavioral medicine research, practice, and policy. Transl Behav Med 2018; 8:4-6. [PMID: 29385593 DOI: 10.1093/tbm/ibx068] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Affiliation(s)
- Kristi D Graves
- Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC, USA
| | | | - Kenneth P Tercyak
- Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington DC, USA
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