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单核苷酸多态性标记选择对单倍型块模式及单倍型频率估计的影响。

The effect of single-nucleotide polymorphism marker selection on patterns of haplotype blocks and haplotype frequency estimates.

作者信息

Nothnagel Michael, Rohde Klaus

机构信息

Department of Bioinformatics, Max Delbrück Center for Molecular Medicine, Berlin, Germany.

出版信息

Am J Hum Genet. 2005 Dec;77(6):988-98. doi: 10.1086/498175. Epub 2005 Oct 19.

DOI:10.1086/498175
PMID:16380910
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1285181/
Abstract

The definition of haplotype blocks of single-nucleotide polymorphisms (SNPs) has been proposed so that the haplotypes can be used as markers in association studies and to efficiently describe human genetic variation. The International Haplotype Map (HapMap) project to construct a comprehensive catalog of haplotypic variation in humans is underway. However, a number of factors have already been shown to influence the definition of blocks, including the population studied and the sample SNP density. Here, we examine the effect that marker selection has on the definition of blocks and the pattern of haplotypes by using comparable but complementary SNP sets and a number of block definition methods in various genomic regions and populations that were provided by the Encyclopedia of DNA Elements (ENCODE) project. We find that the chosen SNP set has a profound effect on the block-covered sequence and block borders, even at high marker densities. Our results question the very concept of discrete haplotype blocks and the possibility of generalizing block findings from the HapMap project. We comparatively apply the block-free tagging-SNP approach and discuss both the haplotype approach and the tagging-SNP approach as means to efficiently catalog genetic variation.

摘要

单核苷酸多态性(SNP)单倍型块的定义已被提出,以便单倍型可作为关联研究中的标记,并有效描述人类遗传变异。构建人类单倍型变异综合目录的国际单倍型图谱(HapMap)项目正在进行中。然而,已有若干因素被证明会影响块的定义,包括所研究的人群和样本SNP密度。在此,我们通过使用可比但互补的SNP集以及DNA元件百科全书(ENCODE)项目提供的多个基因组区域和人群中的多种块定义方法,研究标记选择对块定义和单倍型模式的影响。我们发现,即使在高标记密度下,所选的SNP集对块覆盖的序列和块边界也有深远影响。我们的结果对离散单倍型块的概念以及从HapMap项目中推广块发现的可能性提出了质疑。我们比较应用无块标签SNP方法,并讨论单倍型方法和标签SNP方法作为有效编目遗传变异的手段。