Carere Deanna Alexis, VanderWeele Tyler, Moreno Tanya A, Mountain Joanna L, Roberts J Scott, Kraft Peter, Green Robert C
Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA.
Division of Genetics, Department of Medicine, Brigham and Women's Hospital, EC Alumnae Building, Suite 301, 41 Avenue Louis Pasteur, Boston, MA, 02115, USA.
BMC Med Genomics. 2015 Oct 15;8:63. doi: 10.1186/s12920-015-0140-y.
Direct access to genomic information has the potential to transform cancer risk counseling. We measured the impact of direct-to-consumer genomic risk information on changes to perceived risk (ΔPR) of breast, prostate, colorectal and lung cancer among personal genomic testing (PGT) customers. We hypothesized that ΔPR would reflect directionality of risk estimates, attenuate with time, and be modified by participant characteristics.
Pathway Genomics and 23andMe customers were surveyed prior to receiving PGT results, and 2 weeks and 6 months post-results. For each cancer, PR was measured on a 5-point ordinal scale from "much lower than average" to "much higher than average." PGT results, based on genotyping of common genetic variants, were dichotomized as elevated or average risk. The relationship between risk estimate and ΔPR was evaluated with linear regression; generalized estimating equations modeled this relationship over time.
With the exception of lung cancer (for which ΔPR was positive regardless of result), elevated risk results were significantly associated with positive ΔPR, and average risk results with negative ΔPR (e.g., prostate cancer, 2 weeks: least squares-adjusted ΔPR = 0.77 for elevated risk versus -0.21 for average risk; p-valuedifference < 0.0001) among 1154 participants. Large changes were rare: for each cancer, <4 % of participants overall reported a ΔPR of ±3 or more units. Effect modification by age, cancer family history, and baseline interest was observed for breast, colorectal, and lung cancer, respectively. A pattern of decreasing impact on ΔPR over time was consistently observed, but this trend was significant only in the case of colorectal cancer.
We have quantified the effect on consumer risk perception of returning genetic-based cancer risk information directly to consumers without clinician mediation. Provided via PGT, this information has a measurable but modest effect on perceived cancer risk, and one that is in some cases modified by consumers' non-genetic risk context. Our observations of modest marginal effect sizes, infrequent extreme changes in perceived risk, and a pattern of diminishing impact with time, suggest that the ability of PGT to effect changes to cancer screening and prevention behaviors may be limited by relatively small changes to perceived risk.
直接获取基因组信息有可能改变癌症风险咨询。我们评估了直接面向消费者的基因组风险信息对个人基因组检测(PGT)客户乳腺癌、前列腺癌、结直肠癌和肺癌感知风险变化(ΔPR)的影响。我们假设ΔPR将反映风险估计的方向性,随时间减弱,并受到参与者特征的影响。
对Pathway Genomics和23andMe的客户在收到PGT结果之前、结果后的2周和6个月进行调查。对于每种癌症,PR采用从“远低于平均水平”到“远高于平均水平”的5分序数量表进行测量。基于常见基因变异基因分型的PGT结果被分为风险升高或平均风险。通过线性回归评估风险估计与ΔPR之间的关系;广义估计方程对这种关系随时间的变化进行建模。
除肺癌外(无论结果如何,其ΔPR均为正值),在1154名参与者中,风险升高结果与正ΔPR显著相关,平均风险结果与负ΔPR显著相关(例如,前列腺癌,2周时:风险升高组最小二乘法调整后的ΔPR = 0.77,平均风险组为 -0.21;p值差异 < 0.0001)。大的变化很少见:对于每种癌症,总体上<4%的参与者报告ΔPR为±3或更多单位。分别在乳腺癌、结直肠癌和肺癌中观察到年龄、癌症家族史和基线兴趣对效应的修饰作用。随着时间的推移,对ΔPR的影响呈现出持续下降的模式,但这种趋势仅在结直肠癌中显著。
我们已经量化了在没有临床医生干预的情况下,直接向消费者反馈基于基因的癌症风险信息对消费者风险认知的影响。通过PGT提供的这些信息对感知癌症风险有可测量但适度的影响,并且在某些情况下会受到消费者非基因风险背景的影响。我们观察到的适度边际效应大小、感知风险中罕见的极端变化以及随着时间推移影响逐渐减弱的模式表明,PGT对癌症筛查和预防行为产生改变的能力可能受到感知风险相对较小变化的限制。