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- W2912062213 abstract "Detecting the association between a set of variants and a phenotype of interest is the first and important step in genetic and genomic studies. Although it attracted a large amount of attention in the scientific community and several related statistical approaches have been proposed in the literature, powerful and robust statistical tests are still highly desired and yet to be developed in this area. In this paper, we propose a powerful and robust association test, which combines information from each individual single‐nucleotide polymorphisms based on sequential independent burden tests. We compare the proposed approach with some popular tests through a comprehensive simulation study and real data application. Our results show that, in general, the new test is more powerful; the gain in detecting power can be substantial in many situations, compared to other methods." @default.
- W2912062213 created "2019-02-21" @default.
- W2912062213 creator A5060889456 @default.
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- W2912062213 date "2019-01-31" @default.
- W2912062213 modified "2023-10-16" @default.
- W2912062213 title "Gene‐based sequential burden association test" @default.
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- W2912062213 doi "https://doi.org/10.1002/sim.8111" @default.
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