A multivariate family-based association test using generalized estimating equations: FBAT-GEE

被引:153
作者
Lange, C
Silverman, SK
Xu, X
Weiss, ST
Laird, NM
机构
[1] Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA
[2] Harvard Univ, Sch Med, Brigham & Womens Hosp, Channing Lab, Boston, MA 02115 USA
[3] Harvard Univ, Sch Publ Hlth, Program Populat Genet, Boston, MA 02115 USA
关键词
family-based association tests (FBATs); GEE; genetic association tests; multivariate phenotypes;
D O I
10.1093/biostatistics/4.2.195
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this paper we propose a multivariate extension of family-based association tests based on generalized estimating equations. The test can be applied to multiple phenotypes and to phenotypic data obtained in longitudinal studies without making any distributional assumptions for the phenotypic observations. Methods for handling missing phenotypic information are discussed. Further, we compare the power of the multivariate test with permutation tests and with using separate tests for each outcome which are adjusted for multiple testing. Application of the proposed test to an asthma study illustrates the power of the approach.
引用
收藏
页码:195 / 206
页数:12
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