Adaptive SNP-Set Association Testing in Generalized Linear Mixed Models with Application to Family Studies
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In genome-wide association studies (GWAS), it has been increasingly recognized that, as a complementary approach to standard single SNP analyses, it may be beneficial to analyze a group of functionally related SNPs together. Among the existent population-based SNP-set association tests, two adaptive tests, the aSPU test and the aSPUpath test, offer a powerful and general approach at the gene- and pathway-levels by data-adaptively combining the results across multiple SNPs (and genes) such that high statistical power can be maintained across a wide range of scenarios. We extend the aSPU and the aSPUpath test to familial data under the framework of the generalized linear mixed models (GLMMs), which can take account of both subject relatedness and possible population structure. As in population-based GWAS, the proposed aSPU and aSPUpath tests require only fitting a single and common GLMM (under the null hypothesis) for all the SNPs, thus are computationally efficient and feasible for large GWAS data. We illustrate our approaches in identifying genes and pathways associated with alcohol dependence in the Minnesota Twin Family Study. The aSPU test detected a gene associated with the trait, in contrast to none by the standard single SNP analysis. Our aSPU test also controlled Type I errors satisfactorily in a small simulation study. We provide R code to conduct the aSPU and aSPUpath tests for familial and other correlated data.
KeywordsAlcohol dependence aSPU GEE GLMM GWAS Score test
The authors are grateful to two reviewers and an editor for many helpful comments.
This research was supported by National Institutes of Health Grants R37DA05147, R01AA09357, R01AA11886, R01DA13240, U01DA024417, R01MH066140, R01GM113250, R01HL105397, R01HL116720, and by the Minnesota Supercomputing Institute.
Compliance with ethical standards
Conflicts of interest
Jun Young Park, Chong Wu, Saonli Basu, Matt McGue, and Wei Pan declare that they have no conflict of interest.
Human and Animal Rights and Informed Consent
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Informed consent was obtained from all individual participants included in the study.
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