A multivariate test of association |
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| Authors: | Ferreira Manuel A R; Purcell Shaun M |
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| Institution: | 1Department of Psychiatry, Massachusetts General Hospital, 2Department of Psychiatry, Harvard Medical School, 3Center for Human Genetic Research, Massachusetts General Hospital, Boston, 4Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA, 5Genetic Epidemiology, Queensland Institute of Medical Research, QLD, Australia, 6Broad Institute of Harvard and MIT, Cambridge and 7Psychiatric & Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, USA |
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| Abstract: | Summary: Although genetic association studies often test multiple,related phenotypes, few formal multivariate tests of associationare available. We describe a test of association that can beefficiently applied to large population-based designs. Availability: A C++ implementation can be obtained from theauthors. Contact: manuel.ferreira{at}qimr.edu.au Supplementary information: Supplementary figures are availableat Bioinformatics online.
Associate Editor: Alex Bateman |
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