Schmidlen Tara J, Scheinfeldt Laura, Zhaoyang Ruixue, Kasper Rachel, Sweet Kevin, Gordon Erynn S, Keller Margaret, Stack Cathy, Gharani Neda, Daly Mary B, Jarvis Joseph, Christman Michael F
Coriell Institute for Medical Research, 403 Haddon Avenue, Camden, NJ, 08103, USA.
Ohio State University, Columbus, OH, USA.
J Genet Couns. 2016 Apr;25(2):385-94. doi: 10.1007/s10897-015-9883-z. Epub 2015 Aug 27.
Genetic literacy is essential for the effective integration of genomic information into healthcare; yet few recent studies have been conducted to assess the current state of this knowledge base. Participants in the Coriell Personalized Medicine Collaborative (CPMC), a prospective study assessing the impact of personalized genetic risk reports for complex diseases and drug response on behavior and health outcomes, completed genetic knowledge questionnaires and other surveys through an online portal. To assess the association between genetic knowledge and genetic education background, multivariate linear regression was performed. 4 062 participants completed a genetic knowledge and genetic education background questionnaire. Most were older (mean age: 50), Caucasian (90 %), female (59 %), highly educated (69 % bachelor's or higher), with annual household income over $100 000 (49 %). Mean percent correct was 76 %. Controlling for demographics revealed that health care providers, participants previously exposed to genetics, and participants with 'better than most' self-rated knowledge were significantly more likely to have a higher knowledge score (p < 0.001). Overall, genetic knowledge was high with previous genetic education experience predictive of higher genetic knowledge score. Education is likely to improve genetic literacy, an important component to expanded use of genomics in personalized medicine.
基因素养对于将基因组信息有效整合到医疗保健中至关重要;然而,最近很少有研究对这一知识库的现状进行评估。科里尔个性化医疗协作项目(CPMC)的参与者完成了一项前瞻性研究,评估复杂疾病和药物反应的个性化基因风险报告对行为和健康结果的影响,他们通过在线平台完成了基因知识问卷和其他调查。为了评估基因知识与基因教育背景之间的关联,进行了多元线性回归分析。4062名参与者完成了基因知识和基因教育背景问卷。大多数参与者年龄较大(平均年龄:50岁),为白种人(90%),女性(59%),受教育程度高(69%拥有学士或更高学位),家庭年收入超过10万美元(49%)。平均正确百分比为76%。对人口统计学因素进行控制后发现,医疗保健提供者、以前接触过遗传学的参与者以及自我评估知识“比大多数人更好”的参与者获得更高知识分数的可能性显著更高(p < 0.001)。总体而言,基因知识水平较高,以前的基因教育经历可预测更高的基因知识分数。教育可能会提高基因素养,这是在个性化医疗中扩大基因组学应用的一个重要组成部分。