Sequence Kernel Association Test for Survival Traits
نویسندگان
چکیده
منابع مشابه
Sequence Kernel Association Test, gene-environment interaction test, and meta-analysis for family samples with repeated measurements or multiple traits
Genetic loci identified by single variant association tests account for only a small proportion of the heritability for most complex traits and diseases. Part of the unexplained heritability may be due to rare variants and their interactions with environmental factors. Different strategies have been taken to increase the power to detect genetic associations, such as increasing the sample size b...
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BACKGROUND There has been increasing interest in discovering microbial taxa that are associated with human health or disease, gathering momentum through the advances in next-generation sequencing technologies. Investigators have also increasingly employed prospective study designs to survey survival (i.e., time-to-event) outcomes, but current item-by-item statistical methods have limitations du...
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The kernel machine-based regression is an efficient approach to region-based association analysis aimed at identification of rare genetic variants. However, this method is computationally complex. The running time of kernel-based association analysis becomes especially long for samples with genetic (sub) structures, thus increasing the need to develop new and effective methods, algorithms, and ...
متن کاملA Sequence Kernel Association Test for Dichotomous Traits in Family Samples under a Generalized Linear Mixed Model.
OBJECTIVE The existing methods for identifying multiple rare variants underlying complex diseases in family samples are underpowered. Therefore, we aim to develop a new set-based method for an association study of dichotomous traits in family samples. METHODS We introduce a framework for testing the association of genetic variants with diseases in family samples based on a generalized linear ...
متن کاملKernel-based association test.
Association mapping (i.e., linkage disequilibrium mapping) is a powerful tool for positional cloning of disease genes. We propose a kernel-based association test (KBAT), which is a composite function of "P-values of single-locus association tests" and "kernel weights related to intermarker distances and/or linkage disequilibria." The KBAT is a general form of some current test statistics. This ...
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ژورنال
عنوان ژورنال: Genetic Epidemiology
سال: 2014
ISSN: 0741-0395
DOI: 10.1002/gepi.21791