wu: A multi-locus score test directly generalized from Wu's...

In zhangh12/MAPS: Multi-locus Association test for a Primary trait and its Secondary phenotype

Description

This test is generalized from Wu's test. It is modified so that it allows missing genotypes (MCAR) as well.

Usage

wu(data, formula = NULL, subset = NULL, na.rm = FALSE)

Arguments

data	a data frame containing all variables specified in formula.
formula	an object of clas "Formula". The user can specify two outcomes on the left-hand side. The covariates and the variables of interest can be specified on the right-hand side. See 'Details' in page of function maps.
subset	an optional vector specifying a subset of observations to be used in the testing process.
na.rm	a logical indicating whether to allow individuals with missing values on variables of interest. The current version always set it as FALSE as using more samples can increase power. See 'Details' in page of maps.

Details

If only one SNP is included in data, wu is actually the test proposed in Wu et al. (2013).

Author(s)

Han Zhang <[e-mail]>

References

Zhang, H., Wu, C.O., Yang, Y., Berndt, S., and Yu K. (2015) A multi-locus genetic association test for a dichotomous trait and its secondary phenotype. Submitted.

Wu, C.O., Zheng, G., and Kwak, M. (2013) A joint regression analysis for genetic association studies with outcome stratified samples. Biometrics 69, 417–426.

Examples

data(test)
obj <- wu(data, formula)

zhangh12/MAPS documentation built on May 4, 2019, 10:16 p.m.