Adjustment for competing risk in kin-cohort estimation
Adjustment for competing risk in kin-cohort estimation
复制标题
亲属队列估算中的竞争风险调整
DOI：
10.1002/gepi.10269
复制
发表时间：
2003-12-01
影响因子：
2.1
通讯作者：
Wacholder, S
中科院分区：
文献类型：
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作者：
Chatterjee, N;Hartge, P;Wacholder, S
亲属队列设计可用于研究基因突变对多种事件风险的影响，使用相同的研究。在本设计中，结果数据包括基因型受试者样本亲属的事件史。现有的亲属队列估计方法允许在假设审查事件与所研究的基因突变无关的情况下，一次估计一个事件的风险。然而，当多个事件与基因突变相关时，这些方法可能会产生有偏差的风险估计，并且某些事件的随访可能会因其他事件的发生而受到影响。使用竞争风险框架来解决这个问题，我们表明，从亲属队列数据中可以识别出携带者和非携带者的病因特异性风险函数。对于估计，我们提出了前面描述的复合似然方法的扩展。我们根据华盛顿德系犹太人亲属队列研究的数据，说明了在没有乳腺癌的情况下，使用拟议的方法来估计BRCA1/2突变导致卵巢癌的风险。我们还基于华盛顿德系犹太人研究建立后产生的模拟数据评估了所提出的估计方法的性能。2003年Wiley-Liss出版。
Kin-cohort design can be used to study the effect of a genetic mutation on the risk of multiple events, using the same study. In this design, the outcome data consist of the event history of the relatives of a sample of genotyped subjects. Existing methods for kin-cohort estimation allow estimation of the risk of one event at a time with the assumption that the censoring events are unrelated to the genetic mutation under study. These methods, however, may produce biased estimates of risk when multiple events are related to the genetic mutation, and follow-up of some of the events may be censored by the onset of other events. Using a competing risk framework to address this problem, we show that cause-specific hazard functions for carriers and noncarriers are identifiable from kin-cohort data. For estimation, we propose an extension of a composite-likelihood approach we described previously. We illustrate the use of the proposed method for estimation of the risk of ovarian cancer from BRCA1/2 mutations in the absence of breast cancer, based on data from the Washington Ashkenazi Kin-Cohort Study. We also evaluate the performance of the proposed estimation method, based on simulated data that were generated following the setup of the Washington Ashkenazi Study. Published 2003 Wiley-Liss, Inc.