MTA.gee: GEE association test of multiple quantitative traits
In baolinwu/MTAR: Various Multi-Trait Association tests in R
Description
Usage
Arguments
Value
References
Description
An efficient implementation of genome-wide association test of multiple quantitative traits using GEE score tests.
Usage
1
MTA.gee(obj, G)
Arguments
obj
fitted null model from MLM.null
G
genotype vector
Value
- p.value
three association p-values: an ombinus m-DF chi-square test; two 1-DF chi-square tests assuming common effect or common scaled effect (see ref)
- U,V
score vector (U) and its asymptotic covariance matrix (V)
References
He,Q., Avery,C.L. and Lin,D.Y. (2013) A general framework for association tests with multivariate traits in large-scale genomics studies. Genetic Epidemiology, 37 (8), 759–767.
Wu,B. and Pankow,J.S. (2017) Fast and accurate genome-wide association test of multiple quantitative traits. tech report.
baolinwu/MTAR documentation built on May 14, 2019, 6:03 a.m.
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Description Usage Arguments Value References
Description
An efficient implementation of genome-wide association test of multiple quantitative traits using GEE score tests.
Usage
1 | MTA.gee(obj, G)
|
Arguments
obj |
fitted null model from MLM.null |
G |
genotype vector |
Value
- p.value
three association p-values: an ombinus m-DF chi-square test; two 1-DF chi-square tests assuming common effect or common scaled effect (see ref)
- U,V
score vector (U) and its asymptotic covariance matrix (V)
References
He,Q., Avery,C.L. and Lin,D.Y. (2013) A general framework for association tests with multivariate traits in large-scale genomics studies. Genetic Epidemiology, 37 (8), 759–767.
Wu,B. and Pankow,J.S. (2017) Fast and accurate genome-wide association test of multiple quantitative traits. tech report.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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