A multivariate test of association | Zendy

Manuel A. R. Ferreira | Zendy; Shaun Purcell | Zendy

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A multivariate test of association

Author(s) -

Manuel A. R. Ferreira,

Shaun Purcell

Publication year - 2008

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btn563

Subject(s) - multivariate statistics , association (psychology) , association test , multivariate analysis , test (biology) , genetic association , computer science , population , data mining , statistics , biology , machine learning , medicine , mathematics , psychology , single nucleotide polymorphism , genetics , genotype , environmental health , psychotherapist , gene , paleontology

Although genetic association studies often test multiple, related phenotypes, few formal multivariate tests of association are available. We describe a test of association that can be efficiently applied to large population-based designs.

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