Ogino Shuji, Wilson Robert B, Gold Bert, Flodman Pamela
Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
J Genet Couns. 2007 Feb;16(1):29-39. doi: 10.1007/s10897-006-9040-9. Epub 2007 Feb 13.
Risk assessment is an essential component of genetic counseling and testing, and the accuracy of risk assessment is critical for decision making by consultands. However, it has been shown that genetic risk calculations may have high error rates in practice. Risk calculations for autosomal dominant disorders are frequently complicated by age-dependent penetrance and sensitivities of less than 100% in genetic testing. We provide methods of risk calculation for prototypical pedigrees of a family at risk for an autosomal dominant disorder with age-dependent penetrance. Our risk calculations include scenarios in which the sensitivity of genetic testing is less than 100%, and in which the sensitivity of genetic testing varies for different family members at risk. Our Bayesian methods permit autosomal dominant disease probabilities to be calculated accurately, taking into account all relevant information. Our methods are particularly useful for hereditary cancer syndromes, in which genetic testing can seldom achieve 100% sensitivity. Our methods can be applied to many different scenarios, including those where the sensitivity of genetic testing varies for different family members at risk.
风险评估是遗传咨询和检测的重要组成部分,风险评估的准确性对于咨询者的决策至关重要。然而,实践表明,遗传风险计算在实际中可能具有较高的错误率。常染色体显性疾病的风险计算常常因年龄依赖性外显率和基因检测中低于100%的敏感性而变得复杂。我们提供了一种针对具有年龄依赖性外显率的常染色体显性疾病风险家族典型系谱的风险计算方法。我们的风险计算包括基因检测敏感性低于100%以及基因检测敏感性在不同风险家族成员中有所差异的情况。我们的贝叶斯方法允许在考虑所有相关信息的情况下准确计算常染色体显性疾病的概率。我们的方法对于遗传性癌症综合征特别有用,在遗传性癌症综合征中基因检测很少能达到100%的敏感性。我们的方法可以应用于许多不同的情况,包括基因检测敏感性在不同风险家族成员中有所差异的情况。