Abstract
Summary: The scale of genetic-variation datasets has increased enormously and the linkage equilibrium (LD) structure of these polymorphisms, particularly in whole-genome association studies, is of great interest. The significant computational complexity of calculating single- and multiple-marker correlations at a genome-wide scale remains challenging. We have developed a program that efficiently characterizes whole-genome LD structure on large number of SNPs in terms of single- and multiple-marker correlations. © 2007 Oxford University Press.
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CITATION STYLE
Hao, K., Di, X., & Cawley, S. (2007). LdCompare: Rapid computation of single- and multiple-marker r2 and genetic coverage. Bioinformatics, 23(2), 252–254. https://doi.org/10.1093/bioinformatics/btl574
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