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A new haplotype block detection method for dense genome sequencing data based on interval graph modeling of clusters of highly correlated SNPs

机译:一种新的单倍型块检测方法,用于基于间隔图建模的致密基因组测序数据的高相关SNP的簇

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摘要

Motivation: Linkage disequilibrium (LD) block construction is required for research in population genetics and genetic epidemiology, including specification of sets of single nucleotide polymorphisms (SNPs) for analysis of multi-SNP based association and identification of haplotype blocks in high density sequencing data. Existing methods based on a narrow sense definition do not allow intermediate regions of low LD between strongly associated SNP pairs and tend to split high density SNP data into small blocks having high between-block correlation.
机译:动机:纳入不平衡(LD)块构造是在人口遗传和遗传流行病学中研究所必需的,包括用于分析多SNP基基团的单核苷酸多态性(SNPS)的规范,以及高密度测序数据中单倍型块的鉴定。 基于狭义的狭义定义的现有方法不允许在强相关的SNP对之间的低LD的中间区域,并且倾向于将高密度SNP数据分成具有高嵌段相关性之间的小块。

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