Stephens J C, Briscoe D, O'Brien S J
Laboratory of Viral Carcinogenesis, National Cancer Institute, National Institutes of Health, Frederick Cancer Research and Development Center, MD 21702-1201.
Am J Hum Genet. 1994 Oct;55(4):809-24.
Certain human hereditary conditions, notably those with low penetrance and those which require an environmental event such as infectious disease exposure, are difficult to localize in pedigree analysis, because of uncertainty in the phenotype of an affected patient's relatives. An approach to locating these genes in human cohort studies would be to use association analysis, which depends on linkage disequilibrium of flanking polymorphic DNA markers. In theory, a high degree of linkage disequilibrium between genes separated by 10-20 cM will be generated and persist in populations that have a history of recent (3-20 generations ago) admixture between genetically differentiated racial groups, such as has occurred in African Americans and Hispanic populations. We have conducted analytic and computer simulations to quantify the effect of genetic, genomic, and population parameters that affect the amount and ascertainment of linkage disequilibrium in populations with a history of genetic admixture. Our goal is to thoroughly explore the ranges of all relevant parameters or factors (e.g., sample size and degree of genetic differentiation between populations) that may be involved in gene localization studies, in hopes of prescribing guidelines for an efficient mapping strategy. The results provide reasonable limits on sample size (200-300 patients), marker number (200-300 in 20-cM intervals), and allele differentiation (loci with allele frequency difference of > or = .3 between admixed parent populations) to produce an efficient approach (> 95% ascertainment) for locating genes not easily tracked in human pedigrees.
某些人类遗传疾病,尤其是那些外显率低的疾病以及那些需要诸如接触传染病等环境因素的疾病,在系谱分析中很难定位,因为患病患者亲属的表型存在不确定性。在人类队列研究中定位这些基因的一种方法是使用关联分析,这种分析依赖于侧翼多态性DNA标记的连锁不平衡。理论上,在遗传分化的种族群体之间有近期(3至20代以前)混合历史的人群中,相隔10 - 20厘摩的基因之间会产生并持续存在高度的连锁不平衡,就像在非裔美国人和西班牙裔人群中所发生的那样。我们进行了分析和计算机模拟,以量化影响具有遗传混合历史人群中连锁不平衡的数量和确定度的遗传、基因组和群体参数的作用。我们的目标是全面探索基因定位研究中可能涉及的所有相关参数或因素(例如样本大小和群体之间的遗传分化程度)的范围,以期为高效的定位策略制定指导方针。结果给出了关于样本大小(200 - 300名患者)、标记数量(在20厘摩间隔内为200 - 300个)和等位基因分化(混合亲代群体之间等位基因频率差异≥0.3的位点)的合理限制,从而产生一种有效的方法(确定度>95%)来定位在人类系谱中不易追踪的基因。