评价多等位基因标记间作为单核苷酸多态性间连锁不平衡预测因子的连锁不平衡措施。

H Zhao, D Nettleton, J C M Dekkers
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引用次数: 76

摘要

标记辅助选择(MAS)和利用标记与QTL间连锁不平衡(LD)进行数量性状位点(QTL)定位的有效性取决于LD的程度以及LD如何随群体中标记与QTL之间的距离而下降。标记- qtl LD可以通过标记间LD进行预测。我们之前的工作评估了多等位基因标记之间的LD测量作为多等位基因标记qtl可用LD的预测因子。由于单核苷酸多态性(snp)是目前高密度基因分型和qtl LD定位的首选标记,本研究的目的是利用多等位基因标记之间的LD来预测双等位snp之间或snp与qtl之间的LD。采用9种测量方法对多等位基因标记间的可观察LD进行评价。其中包括基于Lewontin's LD测量的两个标记对等位基因之间的LD的合并和标准化测量,两个等位基因之间的平方相关的合并测量,一个使用Hardy-Weinberg杂合的标准化测量,以及四个基于卡方统计的测量,用于测试两个位点上等位基因之间的相关性。基于我们之前的工作,标准化卡方测量最能预测多等位基因标记和qtl之间的可用LD,高估了可用SNP-SNP或SNP-QTL LD。相反,当LD由漂移产生时,发现其他三种测量方法可以很好地预测可用SNP-SNP或SNP-QTL LD。因此,多等位基因标记之间的LD测量最适合预测群体中的可用LD取决于最终将用于QTL定位或MAS的标记类型(即多等位基因或双等位基因)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of linkage disequilibrium measures between multi-allelic markers as predictors of linkage disequilibrium between single nucleotide polymorphisms.

Effectiveness of marker-assisted selection (MAS) and quantitative trait locus (QTL) mapping using population-wide linkage disequilibrium (LD) between markers and QTLs depends on the extent of LD and how it declines with distance between markers and QTLs in a population. Marker-QTL LD can be predicted from LD between markers. Our previous work evaluated LD measures between multi-allelic markers as predictors of usable LD of multi-allelic markers with QTLs. Since single nucleotide polymorphisms (SNPs) are the current marker of choice for high-density genotyping and LD-mapping of QTLs, the objective of this study was to use LD between multi-allelic markers to predict LD among biallelic SNPs or between SNPs and QTLs. Observable LD between multi-allelic markers was evaluated using nine measures. These included two pooled and standardized measures of LD between pairs of alleles at two markers based on Lewontin's LD measure, two pooled measures of squared correlations between alleles, one standardized measure using Hardy-Weinberg heterozygosities, and four measures based on the chi-square statistic for testing for association between alleles at two loci. The standardized chi-square measure that best predicted usable LD between multi-allelic markers and QTLs, based on our previous work, overestimated usable SNP-SNP or SNP-QTL LD. Instead, three other measures were found to be good predictors of usable SNP-SNP or SNP-QTL LD when LD is generated by drift. Therefore, the LD measure between multi-allelic markers that is best for predicting usable LD in a population depends on the type of markers (i.e. multi-allelic or biallelic) that will eventually be used for QTL mapping or MAS.

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