Nielsen Dahlia M, Ehm Margaret G, Zaykin Dmitri V, Weir Bruce S
Program in Statistical Genetics, Department of Statistics, North Carolina State University, Raleigh, North Carolina 27695-7566, USA.
Genetics. 2004 Oct;168(2):1029-40. doi: 10.1534/genetics.103.022335.
There has been much recent interest in describing the patterns of linkage disequilibrium (LD) along a chromosome. Most empirical studies that have examined this issue have concentrated on LD between collections of pairs of markers and have not considered the joint effect of a group of markers beyond these pairwise connections. Here, we examine many different patterns of LD defined by both pairwise and joint multilocus LD terms. The LD patterns we considered were chosen in part by examining those seen in real data. We examine how changes in these patterns affect the power to detect association when performing single-marker and haplotype-based case-control tests, including a novel haplotype test based on contrasting LD between affected and unaffected individuals. Through our studies we find that differences in power between single-marker tests and haplotype-based tests in general do not appear to be large. Where moderate to high levels of multilocus LD exist, haplotype tests tend to be more powerful. Single-marker tests tend to prevail when pairwise LD is high. For moderate pairwise values and weak multilocus LD, either testing strategy may come out ahead, although it is also quite likely that neither has much power.
近期,人们对描述沿染色体的连锁不平衡(LD)模式产生了浓厚兴趣。大多数研究此问题的实证研究都集中在成对标记集合之间的LD上,而没有考虑这些成对连接之外的一组标记的联合效应。在这里,我们研究了由成对和联合多位点LD项定义的许多不同的LD模式。我们考虑的LD模式部分是通过检查实际数据中出现的模式来选择的。我们研究了在进行单标记和基于单倍型的病例对照测试时,这些模式的变化如何影响检测关联的能力,包括一种基于对比患病个体和未患病个体之间LD的新型单倍型测试。通过我们的研究发现,一般来说,单标记测试和基于单倍型的测试之间的效能差异似乎不大。在存在中度到高度多位点LD的情况下,单倍型测试往往更有效。当成对LD较高时,单标记测试往往更占优势。对于中等成对值和较弱的多位点LD,两种测试策略都有可能占优,尽管也很有可能两者都没有太大的效能。