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The first linkage disequilibrium (LD) maps: Delineation of hot and cold blocks by diplotype analysis

机译:第一张连锁不平衡图(LD):通过双型分析来描绘热区和冷区

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摘要

Linkage disequilibrium (LD) provides information about positional cloning, linkage, and evolution that cannot be inferred from other evidence, even when a correct sequence and a linkage map based on more than a handful of families become available. We present theory to construct an LD map for which distances are additive and population-specific maps are expected to be approximately proportional. For this purpose, there is only a modest difference in relative efficiency of haplotypes and diplotypes: resolving the latter into 2-locus haplotypes has significant cost or error and increases information by about 50%. LD maps for a cold spot in 19p13.3 and a more typical region in 3q21 are optimized by interval estimates. For a random sample and trustworthy map the value of LD at large distance can be predicted reliably from information over a small distance and does not depend on the evolutionary variance unless the sample size approaches the population size. Values of the association probability that can be distinguished from the value at large distance are determined not by population size but by time since a critical bottleneck. In these examples, omission of markers with significant Hardy–Weinberg disequilibrium does not improve the map, and widely discrepant draft sequences have similar estimates of the genetic parameters. The LD cold spot in 19p13.3 gives an unusually high estimate of time, supporting an argument that this relationship is general. As predicted for a region with ancient haplotypes or uniformly high recombination, there is no clear evidence of LD clustering. On the contrary, the 3q21 region is resolved into alternating blocks of stable and decreasing LD, as expected from crossover clustering. Construction of a genomewide LD map requires data not yet available, which may be complemented but not replaced by a catalog of haplotypes.
机译:连锁不平衡(LD)提供了有关位置克隆,连锁和进化的信息,即使有正确的序列和基于少数家族的连锁图可用,也无法从其他证据中推断出这些信息。我们提出构建一个LD图的理论,距离是累加的,并且特定人群的图应该近似成比例。为此,单倍型和双倍型的相对效率仅存在适度的差异:将后者解析为2位基因型单倍型会产生巨大的成本或错误,并使信息增加约50%。通过间隔估计优化了19p13.3中冷点和3q21中更典型区域的LD映射。对于随机样本和可信赖的图,可以从小距离上的信息可靠地预测大距离处的LD值,并且除非样本大小接近总体大小,否则不依赖于进化方差。可以从远距离值中区分出来的关联概率值不是由人口规模决定的,而是由关键瓶颈造成的时间决定的。在这些例子中,省略具有明显的Hardy-Weinberg不平衡性的标记并不能改善图谱,而且差异很大的草图序列对遗传参数的估计相似。 19p13.3中的LD冷点给出了非常高的时间估计,支持了这种关系是普遍的观点。如对具有古老单倍型或均一高重组的区域所预测的,没有明确的证据表明LD聚类。相反,如交叉聚类所预期的那样,3q21区域被分解为稳定且递减的LD的交替块。构建全基因组LD图需要尚未获得的数据,这些数据可以补充但不能被单倍型目录代替。

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