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A free, open-source whole genome association analysis toolset, designed to perform a range of basic, large-scale analyses in a computationally efficient manner. The focus of PLINK is purely on analysis of genotype/phenotype data, so there is no support for steps prior to this (e.g. study design and planning, generating genotype or CNV calls from raw data). Through integration with gPLINK and Haploview, there is some support for the subsequent visualization, annotation and storage of results.

DASH / DASH Associates Shared Haplotypes

A software tool that builds upon pairwise IBD shared segments to infer clusters of IBD individuals. Briefly, for each locus, DASH constructs a graph with links based on IBD at that locus, and uses an iterative min-cut approach to identify clusters. These are densely connected components, each sharing a haplotype. As DASH slides the local window along the genome, links representing new shared segments are added and old ones expire; these changes cause the resultant connected components to grow and shrink.


An R package to identify pairs of closely-related subjects based on genetic marker data from single-nucleotide polymorphisms (SNPs). The package is able to accommodate SNPs in linkage disequibrium (LD), without the need to thin the markers so that they are approximately independent in the population. Sample pairs are identified by superposing their estimated identity-by-descent (IBD) coefficients on plots of IBD coefficients for pairs of simulated subjects from one of several common close relationships.