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连锁不平衡(LD)图谱的特性。

Properties of linkage disequilibrium (LD) maps.

作者信息

Zhang Weilhua, Collins Andrew, Maniatis Nikolas, Tapper William, Morton Newton E

机构信息

Human Genetics Division, University of Southampton, Southampton SO16 6YD, United Kingdom.

出版信息

Proc Natl Acad Sci U S A. 2002 Dec 24;99(26):17004-7. doi: 10.1073/pnas.012672899. Epub 2002 Dec 16.

Abstract

A linkage disequilibrium map is expressed in linkage disequilibrium (LD) units (LDU) discriminating blocks of conserved LD that have additive distances and locations monotonic with physical (kb) and genetic (cM) maps. There is remarkable agreement between LDU steps and sites of meiotic recombination in the one body of data informative for crossing over, and good agreement with another method that defines blocks without assigning an LD location to each marker. The map may be constructed from haplotypes or diplotypes, and efficiency estimated from the empirical variance of LD is substantially greater for the rho metric based on evolutionary theory than for the absolute correlation r, and for the LD map compared with its physical counterpart. The empirical variance is nearly three times as great for the worst alternative (r and kb map) as for the most efficient approach (rho and LD map). According to the empirical variances, blocks are best defined by zero distance between included markers. Because block size is algorithm-dependent and highly variable, the number of markers required for positional cloning is minimized by uniform spacing on the LD map, which is estimated to have approximately equal 1 LDU per locus, but with much variation among regions. No alternative representation of linkage disequilibrium (some of which are loosely called maps) has these properties, suggesting that LD maps are optimal for positional cloning of genes determining disease susceptibility.

摘要

连锁不平衡图谱以连锁不平衡(LD)单位(LDU)表示,区分具有累加距离且位置与物理(kb)图谱和遗传(cM)图谱呈单调关系的保守LD区域。在一组关于交叉互换的信息数据中,LDU步长与减数分裂重组位点之间存在显著一致性,并且与另一种不将LD位置分配给每个标记来定义区域的方法也有良好的一致性。该图谱可由单倍型或双倍型构建,基于进化理论的rho指标从LD的经验方差估计出的效率,比绝对相关性r更高,并且与物理对应图谱相比,LD图谱的效率更高。对于最差的替代方法(r和kb图谱),经验方差几乎是最有效方法(rho和LD图谱)的三倍。根据经验方差,区域最好由所包含标记之间的零距离来定义。由于区域大小取决于算法且高度可变,通过在LD图谱上均匀间隔可使定位克隆所需的标记数量最小化,估计每个基因座约有1个LDU,但不同区域之间存在很大差异。连锁不平衡的其他表示形式(其中一些被松散地称为图谱)都不具备这些特性,这表明LD图谱对于确定疾病易感性的基因的定位克隆是最优的。

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本文引用的文献

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