King T M, Brandt J, Meyers D A
Department of Epidemiology, Johns Hopkins University School of Hygiene and Public Health, Baltimore, Maryland.
Am J Med Genet. 1993 Apr 15;46(2):154-8. doi: 10.1002/ajmg.1320460211.
Linked markers are useful in prenatal diagnosis as well as presymptomatic diagnosis in late age-of-onset diseases such as Huntington disease (HD). It is widely assumed that most laboratory or clerical errors will be detected because of incompatibility of marker haplotypes within the family. However, errors in marker phenotypes that are compatible but wrong may result in a consultand being given an incorrect risk estimate. We have addressed this issue using simulated marker data in pedigrees similar to those seen in our HD testing program. In Family Structure I (an 11-member, 3-generation family), a particular family was more likely to be detected as inconsistent than incorrectly assigned. In a small nuclear family (Family Structure IV), fewer errors would be detected, and more would appear consistent but give incorrect risk estimates (e.g., low risk misclassified as noninformative or high). Given the presence of tight linkage, risk estimates are often calculated based on a small number of relatives. However, these computer simulations demonstrated that increasing the number of relatives typed decreases the probability that the family will remain consistent with an error present, and, therefore, decreases the probability of an incorrect assignment of risk. It is important to decrease the level of such errors by duplicated readings of raw marker data and validation of computer input.
连锁标记在产前诊断以及诸如亨廷顿舞蹈症(HD)等晚发性疾病的症状前诊断中很有用。人们普遍认为,由于家系内标记单倍型不匹配,大多数实验室或文书错误将会被检测出来。然而,标记表型中兼容但错误的错误可能会导致咨询者得到错误的风险估计。我们使用类似于我们HD检测项目中所见的家系中的模拟标记数据来解决这个问题。在家庭结构I(一个11人、三代的家庭)中,一个特定的家系更有可能被检测为不一致而不是被错误地分配。在一个小型核心家庭(家庭结构IV)中,检测到的错误会更少,更多的情况会显得一致但给出错误的风险估计(例如,低风险被误分类为无信息或高风险)。鉴于存在紧密连锁,风险估计通常基于少数亲属来计算。然而,这些计算机模拟表明,增加分型亲属的数量会降低家系与存在的错误保持一致的概率,因此,降低错误分配风险的概率。通过对原始标记数据进行重复读取和对计算机输入进行验证来降低此类错误的水平很重要。