Summary: BIOINFORMATICS APPLICATIONS NOTE
Vol. 17 no. 8 2001
Pages 742­743
GRR: graphical representation of relationship
errors
Gonc¸alo R. Abecasis, Stacey S. Cherny, W. O. C. Cookson and
Lon R. Cardon
Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive,
Oxford OX3 7RZ, UK
Received on February 1, 2001; revised on March 27, 2001; accepted on March 28, 2001
ABSTRACT
Summary: A graphical tool for verifying assumed relation-
ships between individuals in genetic studies is described.
GRR can detect many common errors using genotypes
from many markers.
Availability: GRR is available at http://bioinformatics.well.
ox.ac.uk/GRR.
Contact: goncalo@well.ox.ac.uk; lon@well.ox.ac.uk
Many large scale linkage and association studies have
been conducted and their popularity is increasing. Simple,

Source: Abecasis, Goncalo - Department of Biostatistics, University of Michigan

Collections: Biology and Medicine; Mathematics