Law Jing Hui, Stow Daniel, Hodgson Sam, van Heel David A, Newman William G, Osman Magda, Finer Sarah
Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom.
Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.
PLOS Glob Public Health. 2025 Mar 31;5(3):e0004274. doi: 10.1371/journal.pgph.0004274. eCollection 2025.
Despite growing interest surrounding the integration of genetic risk tools such as polygenic risk scores (PRSs) into routine care for early disease identification and management, major questions remain about whether and how these tools are to be implemented at-scale. Many interventions have explored their use in encouraging the adoption of preventative health behaviours-yet existing evidence remains undetermined, limited by the focus on White European populations. The present study used structural equation modelling to explore genetic risk perceptions surrounding type 2 diabetes (T2D) in a sample of British Bangladeshi and British Pakistani volunteers-combining questionnaire data alongside genomic and clinical information to identify the characteristics of individuals who are likely to act on genetic risk information. We conducted this study with volunteers enrolled in Genes & Health-a large-scale (n > 60,000) study in the UK recruiting British Bangladeshi and British Pakistani volunteers from community and NHS settings. Eligible participants between the ages of 16 to 59 years were invited to complete a 15-minute questionnaire containing measures of genetic risk perceptions surrounding T2D, as well as intention to adopt health behaviours and that can prevent or delay T2D. Questionnaire responses were then integrated with participants' genomic and clinical data available at Genes & Health to construct a model-characterising their mediating relationships in informing participants' intention. A total of 626 participants responded to the questionnaire (response rate = 17%, 37.70% aged 46 to 59 years, 62.62% female). Being between the ages of 46 to 59 years (β = 0.52, 95% CI [0.26, 0.79], p < 0.05), having greater self-reported perceived control over health (β = 0.41, 95% CI [0.26, 0.56], p < 0.05) and interest in genetic testing (β = 0.62, 95% CI [0.46, 0.78], p < 0.05) all had direct positive effects on participants' intention. Household income showed an indirect effect on intention, mediated by interest in genetic testing, β = 0.24, 95% CI [0.12, 0.37]. Self-identified ethnicity also demonstrated indirect effects on intention via two mediating pathways-both involving participants' T2D PRSs and self-reported family history of T2D (β = 0.03, 95% CI [0.02, 0.05] and β = 0.002, 95% CI [0.001, 0.01]). Our results showed that older age, greater perceived control over health and interest in genetic testing are all predictive of participants' likelihood of adopting preventative heath behaviours in response to genetic risk information about T2D. We also found evidence pointing to the roles that wider socio-demographic, clinical and familial variables can play in informing and mediating genetic risk perceptions. These findings should raise awareness about potential challenges to the equitable delivery and management of genetic risk tools-and strengthen calls for wider family- and system-level approaches that can help address potential health inequalities, as efforts surrounding the large-scale implementation of genomics into existing health systems continue to grow.
尽管围绕将多基因风险评分(PRSs)等遗传风险工具整合到疾病早期识别和管理的常规护理中,人们的兴趣日益浓厚,但关于这些工具是否以及如何大规模实施,仍存在重大问题。许多干预措施都在探索其在鼓励采取预防性健康行为方面的应用——然而,现有证据仍不明确,这受到对欧洲白人人群关注的限制。本研究使用结构方程模型,在英国孟加拉裔和巴基斯坦裔志愿者样本中探索围绕2型糖尿病(T2D)的遗传风险认知——将问卷数据与基因组和临床信息相结合,以确定可能根据遗传风险信息采取行动的个体特征。我们对参与“基因与健康”项目的志愿者进行了这项研究,该项目是英国一项大规模(n>60,000)的研究,从社区和国民保健服务机构招募英国孟加拉裔和巴基斯坦裔志愿者。邀请年龄在16至59岁之间的符合条件的参与者完成一份15分钟的问卷,其中包含对围绕T2D的遗传风险认知的测量,以及采取可预防或延缓T2D的健康行为的意愿。然后,将问卷回答与参与者在“基因与健康”项目中可获得的基因组和临床数据相结合,构建一个模型,描述它们在影响参与者意愿方面的中介关系。共有626名参与者回复了问卷(回复率=17%,46至59岁的占37.70%,女性占62.62%)。年龄在46至59岁之间(β=0.52,95%可信区间[0.26,0.79],p<0.05)、自我报告对健康有更大的感知控制(β=0.41,95%可信区间[0.26,0.56],p<0.05)以及对基因检测感兴趣(β=0.62,95%可信区间[0.46,0.7],p<0.05)都对参与者的意愿有直接的积极影响。家庭收入通过对基因检测的兴趣产生间接影响,β=0.24,95%可信区间[0.12,0.37]。自我认定的种族也通过两条中介途径对意愿产生间接影响——两者都涉及参与者的T2D PRSs和自我报告的T2D家族史(β=0.03,95%可信区间[0.02,0.05]和β=0.002,95%可信区间[0.001,0.01])。我们的结果表明,年龄较大、对健康有更大的感知控制以及对基因检测感兴趣,都预示着参与者根据关于T2D的遗传风险信息采取预防性健康行为的可能性。我们还发现证据表明,更广泛的社会人口学、临床和家庭变量在影响和中介遗传风险认知方面可以发挥作用。这些发现应该提高人们对遗传风险工具公平提供和管理潜在挑战的认识,并加强对更广泛的家庭和系统层面方法的呼吁,这些方法有助于解决潜在的健康不平等问题,因为将基因组学大规模应用于现有卫生系统的努力仍在不断增加。