de la Chapelle A, Wright F A
Human Cancer Genetics Program, Comprehensive Cancer Center, Ohio State University, 420 West 12th Avenue, Columbus, OH 43210-1214, USA.
Proc Natl Acad Sci U S A. 1998 Oct 13;95(21):12416-23. doi: 10.1073/pnas.95.21.12416.
Linkage disequilibrium analysis can provide high resolution in the mapping of disease genes because it incorporates information on recombinations that have occurred during the entire period from the mutational event to the present. A circumstance particularly favorable for high-resolution mapping is when a single founding mutation segregates in an isolated population. We review here the population structure of Finland in which a small founder population some 100 generations ago has expanded into 5.1 million people today. Among the 30-odd autosomal recessive disorders that are more prevalent in Finland than elsewhere, several appear to have segregated for this entire period in the "panmictic" southern Finnish population. Linkage disequilibrium analysis has allowed precise mapping and determination of genetic distances at the 0.1-cM level in several of these disorders. Estimates of genetic distance have proven accurate, but previous calculations of the confidence intervals were too small because sampling variation was ignored. In the north and east of Finland the population can be viewed as having been "founded" only after 1500. Disease mutations that have undergone such a founding bottleneck only 20 or so generations ago exhibit linkage disequilibrium and haplotype sharing over long genetic distances (5-15 cM). These features have been successfully exploited in the mapping and cloning of many genes. We review the statistical issues of fine mapping by linkage disequilibrium and suggest that improved methodologies may be necessary to map diseases of complex etiology that may have arisen from multiple founding mutations.
连锁不平衡分析能够在疾病基因定位中提供高分辨率,因为它纳入了从突变事件发生到现在整个期间所发生的重组信息。一种特别有利于高分辨率定位的情况是,单个奠基者突变在一个隔离群体中分离。我们在此回顾芬兰的群体结构,大约100代以前一个小的奠基者群体如今已扩展至510万人。在芬兰比其他地方更常见的30多种常染色体隐性疾病中,有几种在芬兰南部“随机交配”的群体中似乎在整个期间都发生了分离。连锁不平衡分析已使其中几种疾病在0.1厘摩水平上实现了精确的基因定位和遗传距离测定。遗传距离的估计已被证明是准确的,但先前对置信区间的计算过小,因为忽略了抽样变异。在芬兰的北部和东部,其群体可被视为仅在1500年之后才“形成”。仅在大约20代以前经历了这种奠基瓶颈的疾病突变,在长遗传距离(5 - 15厘摩)上表现出连锁不平衡和单倍型共享。这些特征已在许多基因的定位和克隆中得到成功利用。我们回顾了通过连锁不平衡进行精细定位的统计学问题,并指出对于可能由多个奠基者突变产生的复杂病因疾病的定位,可能需要改进方法。