Weeks D E, Lathrop G M
Wellcome Trust Centre for Human Genetics, University of Oxford, UK.
Trends Genet. 1995 Dec;11(12):513-9. doi: 10.1016/s0168-9525(00)89163-5.
Improved genotyping technology has made it feasible to use a genetic approach to map genes involved in the etiology of common human diseases. We discuss here recent developments in several different statistical approaches to linkage analysis of these traits, including affected-sib-pair methods, the affected-pedigree-member method, regressive models and linkage-disequilibrium-based approaches. We discuss advantages and disadvantages of the various approaches, as well as factors influencing study design and the ability to detect loci. Statistical methodology in this area is advancing rapidly and will help enable the mapping and cloning of loci involved in susceptibility to common multifactorial diseases.
改进的基因分型技术使得采用遗传学方法来定位与常见人类疾病病因相关的基因成为可能。我们在此讨论几种不同的统计方法在这些性状连锁分析中的最新进展，包括受累同胞对法、受累家系成员法、回归模型以及基于连锁不平衡的方法。我们讨论了各种方法的优缺点，以及影响研究设计和检测位点能力的因素。该领域的统计方法正在迅速发展，并将有助于定位和克隆与常见多因素疾病易感性相关的位点。
