2001
DOI: 10.1093/bioinformatics/17.8.742
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GRR: graphical representation of relationship errors

Abstract: GRR is available at http://bioinformatics.well.ox.ac.uk/GRR.

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Cited by 393 publications
(316 citation statements)
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“…Cryptic relatedness was assessed by the use of the program GRR. 9 No cryptically-related individuals were detected. Population stratification was assessed using STRUCTURE 2.0, 10 under an admixture model with 20 000 burn-ins and 20 000 replicates.…”
Section: Test Samplementioning
confidence: 99%
“…Cryptic relatedness was assessed by the use of the program GRR. 9 No cryptically-related individuals were detected. Population stratification was assessed using STRUCTURE 2.0, 10 under an admixture model with 20 000 burn-ins and 20 000 replicates.…”
Section: Test Samplementioning
confidence: 99%
“…There are different ways to deal with this type of data as described below. First, we focus on the plot of means and standard deviations of the IBS counts (Abecasis et al, 2001). Second, we detail the plot of the proportions of the IBS counts (Rosenberg, 2006).…”
Section: Ibs Studiesmentioning
confidence: 99%
“…Abecasis et al (2001) proposed to compute the mean false(x¯ijfalse) and variance false(sij2false) over K genetic markers. The plot x¯ij versus s ij reveals characteristic clusters that correspond to the different family relationships for a given population.…”
Section: Ibs Studiesmentioning
confidence: 99%
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