34 research outputs found

    Survey of US public attitudes toward pharmacogenetic testing

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    To assess public attitudes and interest in pharmacogenetic (PGx) testing, we conducted a random-digit-dial telephone survey of U.S. adults, achieving a response rate of 42% (n=1139). Most respondents expressed interest in PGx testing to predict mild or serious side effects (73% Ā±3.29% and 85% Ā±2.91%, respectively), guide dosing (91%) and assist with drug selection (92%). Younger individuals (ages 18ā€“34) were more likely to be interested in PGx testing to predict serious side effects (vs. ages 55+), as well as Whites, those with a college degree, and who had experienced side effects from medications. However, most respondents (78% Ā±3.14%) were not likely to have a PGx test if there was a risk that their DNA sample or test result could be shared without their permission. Given differences in interest among some groups, providers should clearly discuss the purpose of testing, alternative testing options (if available), and policies to protect patient privacy and confidentiality

    Survey of genetic counselors and clinical geneticists' use and attitudes toward pharmacogenetic testing

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    Pharmacogenetic (PGx) testing aims to improve therapeutic outcomes through tailoring treatment based on a patientā€™s genetic risk for non-response and/or an adverse event. Given their expertise, geneticists could facilitate the use of PGx testing; however, , the preparedness and perceived role of the clinical genetics community is unclear. To assess the attitudes, preparedness, and perceived roles of geneticists in the delivery of PGx testing, we conducted a survey of 1500 randomly selected board-certified genetic counselors and clinical geneticists in the U.S (response rate: 37.8% (n=516)). Twelve percent of genetic counselors and 41% of clinical geneticists indicated that they had ordered or coordinated patient care for PGx testing, a seemingly high proportion at this early stage of adoption. Almost all respondents had some education on pharmacogenetics, though only 28% of counselors and 58% of clinical geneticists indicated they felt well-informed about PGx testing. About half of counselors (52%) and clinical geneticists (46%) felt they would play ā€˜someā€™ role in the delivery of PGx testing; 17% and 19%, respectively, felt that they would play ā€˜noā€™ or ā€˜a littleā€™ role. At this early stage of PGx testing, the role of geneticists and genetic counselors is unclear. However, their experience may aid in readying PGx testing and informing delivery strategies into clinical practice

    Is ā€œincidental findingā€ the best term?: a study of patientsā€™ preferences

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    There is debate within the genetics community about the optimal term to describe genetic variants unrelated to the test indication, but potentially important for health. Given the lack of consensus and the importance of adopting terminology that promotes effective clinical communication, we sought the opinion of clinical genetics patients

    Evaluating the Clinical Validity of Gene-Disease Associations: An Evidence-Based Framework Developed by the Clinical Genome Resource

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    Supplemental Data Supplemental Data include 65 figures and can be found with this article online at http://dx.doi.org/10.1016/j.ajhg.2017.04.015. Supplemental Data Document S1. Figures S1ā€“S65 Download Document S2. Article plus Supplemental Data Download Web Resources ClinGen, https://www.clinicalgenome.org/ ClinGen Gene Curation, https://www.clinicalgenome.org/working-groups/gene-curation/ ClinGen Gene Curation SOP, https://www.clinicalgenome.org/working-groups/gene-curation/projects-initiatives/gene-disease-clinical-validity-sop/ ClinGen Knowledge Base, https://search.clinicalgenome.org/kb/agents/sign_up OMIM, http://www.omim.org/ Orphanet, http://www.orpha.net/consor/cgi-bin/index.php With advances in genomic sequencing technology, the number of reported gene-disease relationships has rapidly expanded. However, the evidence supporting these claims varies widely, confounding accurate evaluation of genomic variation in a clinical setting. Despite the critical need to differentiate clinically valid relationships from less well-substantiated relationships, standard guidelines for such evaluation do not currently exist. The NIH-funded Clinical Genome Resource (ClinGen) has developed a framework to define and evaluate the clinical validity of gene-disease pairs across a variety of Mendelian disorders. In this manuscript we describe a proposed framework to evaluate relevant genetic and experimental evidence supporting or contradicting a gene-disease relationship and the subsequent validation of this framework using a set of representative gene-disease pairs. The framework provides a semiquantitative measurement for the strength of evidence of a gene-disease relationship that correlates to a qualitative classification: ā€œDefinitive,ā€ ā€œStrong,ā€ ā€œModerate,ā€ ā€œLimited,ā€ ā€œNo Reported Evidence,ā€ or ā€œConflicting Evidence.ā€ Within the ClinGen structure, classifications derived with this framework are reviewed and confirmed or adjusted based on clinical expertise of appropriate disease experts. Detailed guidance for utilizing this framework and access to the curation interface is available on our website. This evidence-based, systematic method to assess the strength of gene-disease relationships will facilitate more knowledgeable utilization of genomic variants in clinical and research settings

    Effect of genetic testing for risk of type 2 diabetes mellitus on health behaviors and outcomes: study rationale, development and design

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    <p>Abstract</p> <p>Background</p> <p>Type 2 diabetes is a prevalent chronic condition globally that results in extensive morbidity, decreased quality of life, and increased health services utilization. Lifestyle changes can prevent the development of diabetes, but require patient engagement. Genetic risk testing might represent a new tool to increase patients' motivation for lifestyle changes. Here we describe the rationale, development, and design of a randomized controlled trial (RCT) assessing the clinical and personal utility of incorporating type 2 diabetes genetic risk testing into comprehensive diabetes risk assessments performed in a primary care setting.</p> <p>Methods/Design</p> <p>Patients are recruited in the laboratory waiting areas of two primary care clinics and enrolled into one of three study arms. Those interested in genetic risk testing are randomized to receive <it>either </it>a standard risk assessment (SRA) for type 2 diabetes incorporating conventional risk factors plus upfront disclosure of the results of genetic risk testing ("SRA+G" arm), <it>or </it>the SRA alone ("SRA" arm). Participants not interested in genetic risk testing will not receive the test, but will receive SRA (forming a third, "no-test" arm). Risk counseling is provided by clinic staff (not study staff external to the clinic). Fasting plasma glucose, insulin levels, body mass index (BMI), and waist circumference are measured at baseline and 12 months, as are patients' self-reported behavioral and emotional responses to diabetes risk information. Primary outcomes are changes in insulin resistance and BMI after 12 months; secondary outcomes include changes in diet patterns, physical activity, waist circumference, and perceived risk of developing diabetes.</p> <p>Discussion</p> <p>The utility, feasibility, and efficacy of providing patients with genetic risk information for common chronic diseases in primary care remain unknown. The study described here will help to establish whether providing type 2 diabetes genetic risk information in a primary care setting can help improve patients' clinical outcomes, risk perceptions, and/or their engagement in healthy behavior change. In addition, study design features such as the use of existing clinic personnel for risk counseling could inform the future development and implementation of care models for the use of individual genetic risk information in primary care.</p> <p>Trial Registration</p> <p>ClinicalTrials.gov: <a href="http://www.clinicaltrials.gov/ct2/show/NCT00849563">NCT00849563</a></p
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